Research Methodology Jobs in Gurgaon

137 Jobs Found

KI

Customer Satisfaction & Process Excellence Specialist

Kia India Private Limited

5-8 Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Position: Customer Satisfaction & Process Excellence Specialist Location: Gurgaon Experience: 5 to 8 years Education: MBA / PGDM in Marketing, Sales, or Operations Role Overview We are looking for a Customer Satisfaction & Process Excellence Specialist to drive Sales Satisfaction Index (SSI) initiatives and champion sales process improvements across our dealer network. This role will be instrumental in improving the customer experience, driving digital adoption, and supporting sales effectiveness through actionable insights and structured process excellence initiatives. Key Responsibilities Survey Planning & Execution Plan and manage SSI, Pre-Sales, and need-based sales surveys within defined timelines. Ensure quality data collection and compliance with established protocols. Data Analysis & Reporting Analyze and deliver dealer-wise and factor-specific survey reports. Monitor key satisfaction metrics and identify trends impacting customer experience. Customer Grievance Monitoring Investigate hot alerts and complaints from SSI surveys to uncover recurring customer issues. Coordinate resolution efforts with internal teams and ensure timely closure. Digitalization & Tool Enhancement Work with IT/Digital teams to digitize survey processes, ensuring smooth integration with platforms like Salesforce. Lead testing and improvement cycles for digital SOP manuals and customer-facing applications. Dealer Performance Support Share survey outcomes with regional teams and assist in developing dealer-specific improvement plans. Track progress of underperforming dealerships and provide structured feedback. Process Improvement Own and update digital Sales SOPs annually, ensuring alignment with evolving customer expectations and business goals. Collaborate with cross-functional teams to improve workflow efficiency and service quality. CX Monitoring & Digital Journey Optimization Regularly assess customer-facing digital touchpoints to ensure optimal user experience. Coordinate updates to maintain a seamless, intuitive customer journey. Key Skills & Competencies Strong analytical mindset and problem-solving capability Proficient in survey design, data analysis, and reporting tools Working knowledge of CRM platforms (Salesforce preferred) In-depth understanding of automotive retail sales processes Proficiency in MS Excel, PowerPoint, and data visualization tools Excellent communication and stakeholder management skills Preferred Qualifications MBA / PGDM in Marketing, Sales, or Operations 5 8 years of experience in customer experience, process improvement, or market research Automotive industry experience is highly preferred Skills Required Sales & Customer Experience Process Improvement Stakeholder Communication Survey & Data Analytics Drive customer-centric transformation and be at the forefront of sales excellence. Apply now and contribute to shaping a superior customer journey across our dealer network. Qualification : MBA / PGDM in Marketing, Sales, or Operations

Customer Satisfaction Customer Satisfaction Process Excellence
AT

Market Research Analyst

Aabhyasa Technologies Pvt Ltd

2+ Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Position: Market Research Analyst Location: Gurugram Experience: 2 5 Years Qualification: Any Graduate Working Days: 5 Days per Week Working Hours: 9 Hours per Day Job Overview: We are seeking an analytical and detail-oriented Market Research Analyst to support strategic decision-making by delivering actionable insights through market analysis, competitor research, data interpretation, and revenue optimization. The ideal candidate will have a strong grasp of research tools, excellent data handling capabilities, and a strategic mindset to support business growth. Key Responsibilities: Primary & Secondary Research Conduct in-depth primary and secondary research to gather insights on industry trends, consumer behavior, and market opportunities. Campaign & Data Analysis Analyze performance metrics from email marketing campaigns using Excel and Google Analytics. Track KPIs like open rates, click-through rates, and conversions. Segment audiences for personalized marketing and extract data-driven insights to enhance ROI. Competitor & Market Analysis Perform comprehensive competitor analysis, including product offerings, pricing, customer reviews, and market positioning. Use tools like SWOT analysis, market segmentation, and trend forecasting to inform strategic direction. Business Development Identify and assess new market opportunities, potential partnerships, and emerging trends to support the business development team. Contact Discovery Leverage tools like Hoovers, ZoomInfo, Lusha, LinkedIn Sales Navigator, Apollo, and more to identify and verify contact information for potential leads. Data Management Manage, cleanse, and validate datasets using Excel functions (VLOOKUP, Pivot Tables, etc.) to ensure data accuracy and relevance. Revenue Analysis Analyze revenue streams and apply market intelligence to support financial growth. Identify key performance drivers and align strategies to boost profitability. Cross-functional Collaboration Partner with marketing, sales, and strategy teams to align research efforts with business goals. Regulatory Awareness Monitor and analyze regulatory and policy changes impacting industry operations and business opportunities. Key Skills & Qualifications: Strong analytical and critical thinking skills. Hands-on experience with Excel, Google Analytics, and research platforms. Ability to manage, clean, and interpret large data sets. Familiarity with contact discovery tools and LinkedIn Sales Navigator. Working knowledge of market segmentation, competitor tracking, and KPI analysis. Excellent communication skills and cross-functional collaboration abilities. Highly organized with keen attention to detail. Qualification : Any Graduate and above

Market Research Market Research Analyst Market analyst
FA

Agri Research Intern

Farmart

Fresher | Not Disclosed | Gurgaon, Haryana, India | Full-time

Job Title: Agri Research Intern (Fresher) Location: Gurugram, Haryana, India Department: Procurement Job Type: Full-Time | On-Site About FarMart FarMart is reimagining the food supply chain by building a modern, digital-first platform that connects farmers, food businesses, and consumers. Our scalable sourcing solutions, asset-light processing, and tech-enabled distribution channels aim to make food systems more resilient, transparent, and efficient. Backed by top-tier investors like General Catalyst, Matrix Partners, and Omidyar Network, FarMart has impacted 3.2 million+ farmers and 2,000+ food businesses globally. Position Overview We are seeking a motivated Agri Research Intern to join our team and support agri-commodity research initiatives. This is a fantastic opportunity for freshers to gain real-world exposure to agriculture markets, commodity analysis, and data-driven decision-making within a high-growth agri-tech company. Key Responsibilities Market Research Conduct research on crops, livestock, and agri-products. Analyze supply-demand trends, price movements, and trade patterns. Gather data from surveys, industry reports, and online databases. Data Analysis & Reporting Build and maintain commodity market databases. Prepare insightful research reports and presentations. Offer actionable recommendations to support strategic decisions. Industry Monitoring Stay updated on agricultural policies, innovations, and market shifts. Track competitor activities and global market dynamics. Cross-Functional Collaboration Work with marketing, trading, and finance teams to meet internal research needs. Assist in planning market entry and expansion strategies. Documentation & Communication Document methodologies and findings with clarity. Present research outcomes effectively to internal teams and management. Qualifications Bachelor s degree in Agriculture, Economics, Statistics, Business, or a related field (Master s degree is a plus). Strong analytical and research skills. Proficiency in Excel, and exposure to tools like SPSS or Tableau is a plus. Excellent communication and organizational skills. Knowledge or keen interest in agricultural markets and commodity trading. Key Competencies Analytical Thinking Interpret data to make informed recommendations. Research Proficiency Strong attention to data accuracy and sourcing. Communication Skills Present findings clearly and effectively. Adaptability Comfortable with dynamic market environments. A flat, transparent culture and a dynamic, informal workspace. Steep learning curve with high-impact work from day one. Opportunities to innovate and take ownership of your projects. Collaborative work with industry-leading professionals and teams. Be part of an agri-tech revolution transforming India's food system. Apply now and be part of FarMart s mission to revolutionize food value chains! Qualification : Bachelors degree in Agriculture, Economics, Statistics, Business, or a related field (Masters degree is a plus).

Research Intern Research intern Intern research Full-Time
SA

Account Executive

Salesforce

7+ Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Account Executive Enterprise Software Sales (Gurgaon, India) Full-Time | India Gurgaon | Salesforce MuleSoft About the Role MuleSoft, a leader in enterprise integration and API management, is revolutionizing the way organizations connect data, applications, and devices. With over 1,200 global enterprise customers and a growing market, we re looking for a high-performing Account Executive based in Gurgaon, India, to drive growth and revenue across strategic accounts. As an Account Executive, you will take ownership of your territory, lead the end-to-end sales process, and deliver high-impact solutions that solve critical integration challenges for CIOs and business leaders. Key Responsibilities Own and execute the full sales cycle from prospecting to deal closure for enterprise-level software solutions Drive revenue growth by exceeding sales quotas and building a strong pipeline of opportunities Engage senior IT and business leaders in consultative, outcome-based sales conversations Develop and execute a go-to-market strategy for greenfield and existing accounts Collaborate with cross-functional teams including Sales Engineering, Marketing, and Customer Success Deliver long-term value to customers through API-led connectivity and digital transformation solutions Your First Year at MuleSoft Exceed your ramped annual quota and create a strong pipeline for long-term growth Develop deep expertise in MuleSoft s integration platform, sales methodology, and product ecosystem Partner with global Sales Enablement to complete onboarding and continuous training programs Gain exposure to complex, high-value enterprise deals and build trusted client relationships Join a collaborative, inclusive, and mission-driven team committed to customer success Requirements & Qualifications 7+ years of B2B technology sales experience, preferably in middleware, integration, or enterprise software Proven success in closing large enterprise deals valued at $500K+ Strong track record of selling to C-level executives, especially in the public sector in India Demonstrated experience building a business in greenfield territory Strong consultative sales skills with a focus on delivering strategic business outcomes Excellent communication, negotiation, and stakeholder management skills A collaborative, team-first mindset and a passion for solving complex business challenges Bachelor s degree or equivalent experience (including leadership, military, or volunteer roles) MuleSoft is a Salesforce company with a mission to empower organizations to innovate faster and integrate smarter. Our unified platform connects apps, data, and devices, making digital transformation simple and scalable. Companies like Spotify, McDonald s, and Unilever trust us to enhance agility and drive business success. At MuleSoft, people come first. We re committed to building an inclusive, high-performing workplace where every individual is supported and inspired to do their best work. We ve been recognized as a #1 Top Workplace in the Bay Area and a Best Place to Work for six consecutive years. Apply now to become a part of a visionary team that s redefining enterprise integration and shaping the future of connected business. Qualification : Bachelors degree or equivalent experience (including leadership, military, or volunteer roles)

Account Executive Account Executive Full-Time Sales Executive
IN

Product Manager

Investwell

2+ Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Product Manager Location: Gurugram, India Type: Full-Time Experience: 2 5 Years Category: Product Management About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software provider for financial advisors. Our SaaS platform empowers top financial planners to help millions of Indians achieve their investment goals. From enabling portfolio rebalancing to handling large-scale transactions daily, our tools drive better financial decision-making. If you re excited about building solutions that shape the future of investing, this is the place for you. Role Overview We are looking for a strategic and user-focused Product Manager to join our growing team. You will be responsible for defining product strategy, leading cross-functional initiatives, and shaping the roadmap for key modules of our fintech platform. This is a great opportunity for someone with strong analytical skills, a passion for solving real-world financial problems, and experience managing SaaS products. Key Responsibilities User Advocacy: Deeply understand and represent user needs throughout the product lifecycle. Strategy & Roadmapping: Define and evolve strategy for core product modules, ensuring alignment with company vision. Product Vision: Craft a compelling product vision and rally stakeholders around it. Prioritization & Execution: Prioritize features based on user feedback, business impact, and technical feasibility. Collaborate closely with product owners and engineering teams to drive execution. Market Analysis: Monitor the competitive landscape, track industry trends, and gather actionable customer feedback. Lifecycle Ownership: Own the product lifecycle from ideation to launch, iteration, and end-of-life decisions. Required Experience & Skills 2 5 years of core Product Management experience, preferably in a fintech or SaaS environment. Solid understanding of agile methodologies and product lifecycle management. Proficiency in product management tools such as JIRA, Trello, or Asana. Strong analytical, research, and documentation skills. Demonstrated ability to think strategically, make data-informed decisions, and manage competing priorities. Excellent communication and stakeholder management skills. Bachelor s degree in Engineering (B.Tech/BE) or equivalent professional experience. Perks & Benefits 5-day work week with flexible hours. Free group medical insurance (coverage up to 3 Lakhs) for all permanent employees. Complimentary financial planning consultations with certified professionals. Personalized guidance to begin and improve your own investment journey. A collaborative and high-growth work culture with regular team events and learning opportunities. At Investwell, you ll get to lead products that directly impact the financial well-being of millions. You'll collaborate with talented developers, designers, and stakeholders in a culture that encourages ownership, innovation, and continuous learning. Qualification : Bachelors degree in Engineering (B.Tech/BE) or equivalent professional experience.

Manager Product manager Full-Time Product Management Product Strategy
SP

Product Manager (LLMs & AI)

Spyne

3-7 Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Job Title: Product Manager (LLMs & AI) Location: Gurgaon, Haryana Experience: 3-7 years Department: Product Management Employment Type: Full-Time About Spyne At Spyne, we are redefining how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea using AI-powered visuals to help dealers sell online faster has grown into a full-fledged AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors, we are scaling rapidly: Expanded across US & EU markets. Launched industry-first AI-powered Image & 360 solutions. Achieved 5X revenue growth in 15 months, with a goal for 3-4X growth this year. We are now rolling out an end-to-end GenAI Automotive Retail Suite and expanding into the US market to bring our AI-driven products to 3,000-4,000 dealers. What We Are Looking For We are looking for an experienced Product Manager to lead the development of Large Language Model (LLM)-powered applications and AI agents. This role will focus on harnessing the power of LLMs (e.g., OpenAI s GPT, Claude, or similar models) to create advanced, context-aware conversational agents and automation systems. As a Product Manager (LLMs & AI), you will work on defining and delivering AI solutions that transform the user experience, streamline processes, and unlock new business opportunities for Automotive dealers and buyers. This is a critical role in shaping Spyne s product strategy, translating user needs into AI-driven solutions, and collaborating with cross-functional teams to deliver innovative, AI-powered products. Product Strategy & Vision: Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation: Explore cutting-edge applications like chatbots, decision-support systems, and automation tools. Research & Experimentation: Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Advancements: Stay updated on emerging capabilities like multi-turn dialogue, in-context learning, and fine-tuning techniques. AI Agent Development: Build context-aware AI agents that integrate seamlessly into user workflows. Automation Solutions: Develop AI-driven tools for automating tasks like email responses, scheduling, and data extraction. User Experience & Adoption: Convert user pain points into intuitive AI-driven solutions with explainable outputs. Seamless AI-Human Interaction: Ensure smooth AI adoption by refining user interfaces and interactions. Cross-Functional Collaboration: Work closely with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. AI Market Positioning: Collaborate with Sales and Customer Success teams to position AI capabilities as a key differentiator. Performance Metrics: Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization: Enhance AI model efficiency and user satisfaction through iterative improvements. What You Must Have 1 3 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (e.g., GPT, Claude). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation. Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrive in fast-paced, ambiguous environments. Strong Culture: A supportive and collaborative work environment that encourages innovation. Transparency & Trust: High levels of autonomy and trust in decision-making. Competitive Salary & Equity: Stock options for top performers. Health Insurance: Comprehensive coverage for employees and their dependents, including GMC, GPA, and GTLI coverage. Dynamic Growth Environment: Join a fast-paced, high-growth setting that will accelerate your professional development. Shape the Future of AI-Powered Automotive Retail If you're passionate about AI and want to play a key role in transforming the automotive retail experience, join Spyne and help us define the future of AI-powered automotive retail!

Manager Product manager Llms Ai Ai manager
SH

Implementation Consultant

Shipsy

2-5 Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Job Title: Implementation Consultant Logistics SaaS | Gurgaon, Haryana Location: Gurgaon, Haryana Job Type: Full-time Industry: Logistics Technology | SaaS Company: Shipsy About Shipsy Shipsy is a global SaaS leader in logistics and supply chain automation, empowering enterprises with end-to-end solutions for transportation and warehousing optimization. Operating in a trillion-dollar industry that's still largely manual, our advanced logistics technology is transforming how businesses manage their supply chains reducing costs, improving delivery efficiency, and enhancing customer experience. Trusted by major global enterprises including Reliance, Domino s, Burger King, Landmark Group, UPS Gulf, and DTDC Express, Shipsy processes over 2 million shipments daily. In fact, nearly 10% of India s container trade is tracked through our platform. Backed by leading investors like Peak XV Partners, Info Edge, and A91 Partners, Shipsy has raised over $35 million and continues to grow with a global team of 280+ professionals across India, the Middle East, and Southeast Asia. Role Overview: Implementation Consultant As an Implementation Consultant at Shipsy, you will be a key driver in onboarding our enterprise clients and ensuring successful deployment of our logistics SaaS solutions. You will work closely with internal teams and client stakeholders to understand requirements, configure solutions, and ensure smooth implementation tailored to customer needs. This is a high-impact, client-facing role where your technical expertise, problem-solving ability, and communication skills will directly influence customer success and satisfaction. Key Responsibilities Lead end-to-end software implementation projects for new clients across various geographies. Collaborate with cross-functional teams including Product, Engineering, and Customer Success to deliver customized solutions. Gather and analyze client requirements, define project scopes, and ensure timely delivery. Conduct product training, system configuration, and UAT support for clients. Continuously monitor client progress and provide support during onboarding and transition. Identify areas for process improvement and contribute to solution enhancements. Bachelor s degree in Engineering, Computer Science, or related field. 2 5 years of experience in a client-facing role, preferably in SaaS implementation or logistics tech. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Ability to manage multiple projects in a fast-paced environment. Willingness to travel as needed for client engagements. Competitive Salary + Performance-Based Incentives Professional development opportunities and continuous learning support. Work alongside top talent from IITs, IIITs, NITs, and global research institutes. Collaborative and inclusive work culture with strong mentorship and growth focus. Unique employee benefits including a scholarship program and wellness initiatives. Grow With Us At Shipsy, we don t just build world-class logistics solutions we also build careers. Join a young, diverse, and energetic team that values innovation, collaboration, and making a real-world impact. Experience a vibrant culture that encourages ownership, learning, and having fun while doing meaningful work. Apply Now to be a part of Shipsy's journey to transform global logistics. Qualification : Bachelors degree in Engineering, Computer Science, or related field.

Implementation Consultant Implementation consultant Full-Time Software implementation
SH

Senior Product Manager

Shipsy

4+ Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Job Title: Senior Product Manager SaaS & Logistics Tech | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Department: Product Management Industry: SaaS | Logistics & Supply Chain Technology Company: Shipsy About Shipsy Shipsy is a fast-growing global SaaS company transforming logistics and supply chain operations through intelligent automation and end-to-end visibility. Our platform enables enterprises to streamline freight and delivery management, optimize costs, and enhance customer experience all while driving sustainable logistics practices. We serve over 190+ global businesses, facilitating the movement of 2+ million shipments daily, and are rapidly expanding across the Middle East, Southeast Asia, and Europe. With regional headquarters in Dubai and strong momentum in revenue, team growth, and customer base, we are poised for continued global scale. Backed by top investors like Sequoia Capital and InfoEdge, our team consists of experts from institutions like MIT Media Lab, IITs, and top-tier companies like Microsoft, Samsung Research, and Morgan Stanley. Role Overview: Senior Product Manager As a Senior Product Manager, you will play a strategic role in shaping the roadmap and evolution of Shipsy's platform. You ll work cross-functionally with Engineering, Sales, Customer Success, and Design to define product vision, drive feature development, and deliver scalable logistics solutions that generate measurable impact for our enterprise clients. This is a high-impact position that requires a mix of business acumen, customer empathy, and a strong product mindset in the SaaS and supply chain domain. Key Responsibilities Own end-to-end product lifecycle from ideation to launch to iteration for core features of the Shipsy platform. Collaborate with customers and internal stakeholders to gather insights and define user stories, requirements, and acceptance criteria. Deeply understand customer workflows and business needs to ensure product solutions align with measurable outcomes. Drive platform adoption by designing intuitive, value-driven experiences that address pain points and unlock efficiencies. Prioritize features using data, customer feedback, and market trends to inform product strategy and decision-making. Work closely with Engineering to ensure timely and high-quality delivery of product features. Identify and track key performance metrics for product performance, adoption, and ROI. Serve as a customer advocate, proactively capturing feedback and channeling it into continuous product improvements. Requirements & Qualifications 4+ years of Product Management experience in SaaS, logistics tech, or enterprise software environments. Strong understanding of B2B workflows, supply chain processes, or logistics platforms. Exceptional analytical and problem-solving skills; ability to translate complex business needs into clear, executable solutions. Excellent communication and stakeholder management skills. A strong sense of ownership, curiosity, and passion for building scalable, customer-centric products. Bachelor s degree in Engineering, Computer Science, or Business; MBA is a plus. What Makes This Role Exciting Be a part of a high-growth company driving transformation in a trillion-dollar industry. Work alongside top-tier talent in a collaborative, agile, and innovation-focused environment. Influence the roadmap of a platform used by global leaders like Reliance, UPS, Zepto, DTDC, and Burger King. Access professional development programs, international mobility options, and unique employee perks such as a scholarship program. Join Us at Shipsy If you are passionate about solving real-world problems, influencing product direction, and working in a fast-paced, purpose-driven SaaS company, then Shipsy is the right place for you.

Senior Manager Senior manager Product manager Senior product manager
BL

Product Owner - Core Analytics Solutions (CAS)

Blackrock

3-6 Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Position: Product Owner - Core Analytics Solutions (CAS) Job Overview: At BlackRock, technology and innovation are central to our mission of delivering world-class financial solutions. As part of Aladdin Financial Engineering (AFE), the Core Analytics Solutions (CAS) team is responsible for delivering analytical capabilities that drive better portfolio decisions. CAS works closely with investment teams and clients, transforming data into actionable insights and delivering solutions across asset classes and client segments. About Aladdin Financial Engineering (AFE): Join over 400 modelers and technologists in AFE within BlackRock Solutions. AFE is responsible for the research, development, and analytics production of Aladdin s financial models. These models span a wide range of financial products and provide insights to portfolio and risk management professionals. About Core Analytics Solutions (CAS): The CAS team within AFE creates and delivers Aladdin s analytical capabilities, ensuring clients can make informed portfolio decisions and achieve their financial goals. Our team is known for problem-solving, innovation, and delivering scalable solutions using Aladdin s global investment platform. Role Description: As a Product Owner with CAS, you will focus on portfolio risk methodologies like VaR and Stress Testing. You will work with modelers and collaborate with product managers, engineers, and data teams to deliver next-generation risk models. This role requires a blend of subject matter expertise, analytical skills, and leadership in driving product initiatives using agile frameworks. Responsibilities: Deliver next-generation risk models for portfolio risk methodologies such as Ex-ante risk models, Historical VaR, Monte Carlo VaR, Stress Testing, and factor risk models. Drive agile framework implementation to ensure predictability and transparency across initiatives. Work closely with stakeholders to define and articulate product requirements, ensuring alignment with business needs. Perform independent analytical validations and present results to stakeholders. Influence the analytics roadmap by understanding rapidly evolving markets and stakeholder needs. Automate processes to increase efficiency and throughput. Present models to clients, address concerns, and build trust in BlackRock s solutions. Collaborate with technology and analytics teams to build scalable, customized solutions using Aladdin APIs. Define processes for quality control and ensure the robustness and reliability of Aladdin s analytics models. Develop and maintain documentation for analytical models and processes. Mentor junior analysts and help them build expertise in the field. Experience/Qualifications/Skills: 3-6 years of experience in developing, deploying, or using financial risk models. Deep understanding of financial models and risk methodologies, including factor models. Experience with APAC markets is a plus. Proven track record of leading cross-functional initiatives as an agile product owner. Experience in finance, econometrics, statistical analysis, or advanced mathematics. Experience with technical tools like Linux, SQL, and scripting platforms. Programming skills (Python, advanced Excel) are a plus. Knowledge of financial risk management certifications (CFA, FRM) is a plus. Excellent quantitative, analytical, communication, and presentation skills. Ability to collaborate effectively with both technical and non-technical stakeholders. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model fosters collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. We invest in our employees to create a supportive environment where they can thrive professionally and personally. We offer benefits and development opportunities to support our employees' growth. Qualification : Engineering, Finance, Mathematics, Business Management or some other quantitative field of study. Advanced degree preferred. Bachelors degree required.

Core Analytics Solutions Analytics solutions Financial
BL

Quant Data Specialist, Aladdin Financial Engineering - Associate

Blackrock

3-6 Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model enables a culture of collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. Certain business groups may require more time in the office due to their roles. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

Quant Data Specialist Data specialist Financial
CU

Sales Executive

Cummins

Fresher | Not Disclosed | Gurgaon, Haryana, India | Full-time

Job Summary: We are seeking a Sales Data Analyst to support our sales team by performing repetitive reporting tasks, system administration, and data analysis to improve business insights. The ideal candidate will be proficient in data collection and analysis from internal and external sources, ensuring accurate and timely reporting to assist in sales forecasts and decision-making. This role requires someone with a strong focus on process efficiency and the ability to adapt to evolving business needs. Key Responsibilities: 1. Reporting: Consolidate and distribute sales reports under limited supervision. Gather data from various sources using existing templates and provide input for forecasting. Conduct regular data analysis to ensure accurate and complete sales reports. 2. System Administration: Run repetitive and ad-hoc tasks on sales systems and tools (e.g., Salesforce, WWSPS, BMS, Portal). Periodically review user-entered data to ensure its completeness. 3. Data Analysis (Internal & External): Conduct ad-hoc and recurring analyses of external data sources (e.g., Polk, Dodge, RigDig). Research and compile competitive data and opportunities through secondary research. Perform internal sales analyses such as variance, projections, costing, and bundling. Competencies & Skills: Action Oriented: Take on new opportunities and challenges with urgency, energy, and enthusiasm. Adapt quickly to changing needs and work with high efficiency. Collaboration: Build partnerships and collaborate with others to achieve shared goals. Effective Communication: Communicate complex data and insights clearly to diverse audiences, ensuring they understand and act upon the information. Self-Development: Actively pursue opportunities for personal and professional growth. Data Analytics: Interpret both qualitative and quantitative data to draw meaningful insights. Use frameworks and methodologies to present data findings that influence business decisions. Project Schedule Management: Manage schedules using appropriate tools to ensure timely completion of tasks and projects. Adapts to Target Audience: Explain technical data in a simplified manner that can be understood by non-technical audiences. Customer Perspective Integration: Incorporate an understanding of customer needs to develop sales strategies that drive revenue and customer satisfaction. Values Differences: Embrace diverse perspectives and foster an inclusive environment. Qualifications: Education: High school diploma or equivalent is required. A relevant certification or further education in data analysis or sales is preferred. Experience: Some work experience in a data analysis or sales support role is required. Intermediate-level knowledge of sales systems and tools through training or on-the-job experience. Skills: Primary and Secondary Sales Mechanics Connect Fleet Approach Reborer Connect Additional Requirements: This position may require licensing for compliance with export controls or sanctions regulations. Benefits: Competitive salary and benefits package. Opportunities for skill development and career growth. Supportive, collaborative work environment. This role is an exciting opportunity for someone with a keen eye for data and a passion for supporting sales teams with actionable insights. If you're looking to contribute to a dynamic team, apply today! Qualification : High school diploma or equivalent is required.

Sales Executive Sales Executive Executive Sales Full-Time
GA

Market Research Specialist, Srs (technology Domain Research)

Gartner

0-2 Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

About this role: Gartner s Secondary Research Service (SRS) team works closely with research practices to understand their overall research needs and help them with complex and strategic research projects. As a Market Research Specialist you will generate insights using both systematic and intuitive secondary research techniques to help larger analysts community. You will closely work with analysts to scope the project, device search strategy, analyze data, summarize, and help visualize and build data story. The job requires an open mind individual with a proactive approach, interest in learning about the latest technology trends and the ability to interpret information & apply this to solve research problem. What you will do: Conduct research on IT products and services using both systematic and intuitive secondary research techniques. Compare/benchmark different IT products by understanding online help, user guides, manuals, white papers, design/product specifications, project plan, etc. Analyze the research findings and draw inferences and conclusions to the research query Create, assimilate and convey technical material in a concise and effective manner Deliver projects on time and maintain high quality standards of the deliverables Actively participate in formal and in-formal knowledge sharing sessions, including Research Communities. Who you are: A team player with outstanding collaborative skills, and a self-starter with no-limits mindset and leadership quality. A go-getter who tackles business and technical challenges head on, with a research inclination Someone who values new environments and is sensitive to intercultural aspects while working in an international setting. What you will need: Management graduates preferably with 0-2 years of experience. (Post graduates with 0-1.5 years is a must and Bachelor's with 1.5-2years) Candidates with technical background or experience in IT industry. Eagerness to learn: Showing awareness of the major issues across the IT industry and eagerness to learn more Strong communication skills- verbal & written. Should structure all communication with meaning and flow with good command on English language Problem solving skills: Strong analytical skills and the ability to think independently Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we ve grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . Qualification : Post graduates with 0-1.5 years is a must and Bachelor's with 1.5-2years

Market Research Market Research Specialist Research specialist
MC

Marketing Science Partner, India

Meta Careers

Fresher | Not Disclosed | Gurgaon, Haryana, India | Full-time

To fulfil this mission, the Marketing Science team at Meta is actively seeking a full-time, experienced Marketing Science Partner. A Marketing Science Partner at Meta works with internal and external clients in an industry vertical such as Automotive, E-commerce, Entertainment, CPG, Fin-Serv, Tech etc. on an ongoing basis to adopt better measurement as a way to improve business outcomes. To accomplish this, the person in this role will work both reactively and proactively with clients, using Meta s industry leading data science tools and data sets. Driving good measurement with advertisers will require designing tests (conversion lift, brand lift, attribution etc.) and doing research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media. This work will require direct engagement with clients, with media agencies as well as using our third party scaling solutions to help with the set up and running of studies. Conclusions from this work will showcase what good measurement is and how clients can act upon it to drive business impact. The Marketing Science Partner will also focus on customizing existing capabilities or in some cases piloting new, scalable capabilities in partnership with Product, R&D, and Partnerships. Meta is seeking exceptional candidates to join the Marketing Science team with proven analytical and critical thinking skills as well as familiarity with large data sets, Marketing research and data manipulation tools. To successfully influence how advertisers conduct and use measurement, the candidate should be able to work cross-functionally with internal teams and partner closely with the Sales team. Marketing Science Partner, India Responsibilities Engage with clients and agencies to share research-based best practices and measure true business value by building and operationalizing learning agendas . The best practices and learning agendas will highlights how a client can improve business outcomes Work with advertising and industry bodies to create best in class measurement solutions Partner closely with sales to manage a set of accounts and prioritize which clients will get servicing from the team Support client engagement with third party vendors responsible for setting up and conducting measurement studies Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the learning agenda Design tests to showcase the power of good measurement using client data and Facebook or third-party technology tools Conduct in-depth standard and custom ad effectiveness studies for Facebook advertisers to understand the relative impact of different marketing strategies across digital platforms and across media Communicate complex research results to a general audience Offer selective consultation with clients & agencies on business hypothesis to test, measurement design & feasibility or insights interpretation Operate internal & external education & training workshops to raise awareness & advocacy of Measurement solutions & analytical best practices (auction, use of lift tools ) Minimum Qualifications Bachelor s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar Direct experience independently scoping and executing research projects with clients and or cross-functional stakeholders Experience analyzing and manipulating data sets to understand patterns and provide insights Experience leading at an industry level and with clients Ability to communicate technical content to general audience. Client-facing experience (internal or external), including ability to drive meetings or change through adoption of new products or research methods. Experience with digital advertising measurement methods and technologies Proven excellence in working with structured and unstructured data-sets, statistical software such as R as well as data extraction tools such as Hive, python and/or SQL is a must Experience with field experiments, experimental design, survey sampling, and/or panel data Preferred Qualifications Advanced degree in a quantitative field or an MBA About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity and Affirmative Action Qualification : Bachelors degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar

marketing Science Partner marketing India Full-Time
SP

Product Designer

Spyne

2-4 Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Job Title: Product Designer II UI/UX Location: Gurugram, Haryana (Onsite, 5 days/week) Working Hours: 12 PM 9 PM IST Experience: 2 4 Years | Department: Product & Design Employment Type: Full-Time About Spyne At Spyne, we are transforming how cars are marketed and sold using the power of Generative AI. What began as a bold idea to automate automotive visuals has evolved into a full-stack AI-first automotive retail ecosystem. Backed by $16M in Series A funding from top investors like Vertex Ventures and Accel, we re rapidly expanding across US and EU markets with our industry-first AI products, including Studio AI and Retail AI. Over the past 15 months, we ve experienced 5X revenue growth, with ambitious plans to scale 3 4X more this year. Now, we re leading the next wave of GenAI innovation, building AI-powered tools for sourcing, pricing, 360 imaging, CRM, and Agentic AI for dealerships. About the Role: Product Designer (UI/UX) We re looking for a talented and passionate Product Designer II to join our dynamic Product & Design team. This role is perfect for someone who wants to blend design thinking with cutting-edge AI, AR, and VR technologies to create impactful, user-first experiences for our global automotive partners. You ll play a pivotal role in shaping intuitive digital products, owning the design process end-to-end, and influencing the future of automotive retail. What You ll Do Lead UI/UX Design: Design end-to-end user experiences with intuitive, accessible, and visually compelling interfaces. Build for Emerging Tech: Design for AI, AR, and VR integrations in products that push boundaries and redefine user engagement. Create & Iterate: Develop wireframes, user flows, high-fidelity prototypes, and final visual assets using tools like Figma. Collaborate Cross-Functionally: Work closely with Product Managers, Engineers, and Data Analysts to translate ideas into functional, user-centric solutions. Align Design with Business Goals: Ensure design strategy meets key product and user outcomes. Leverage Data for Design Decisions: Analyze user behavior, feedback, and market trends to iterate effectively. Contribute to Design Systems: Build, scale, and maintain reusable components and design guidelines. Stay Ahead of Trends: Continuously explore emerging tools, patterns, and technologies in design and AI. What You ll Bring Experience & Education Bachelor s degree in Design, Human-Computer Interaction, or a related field 2 4 years of hands-on UI/UX design experience, preferably in a B2B SaaS environment Technical Skills Proficiency in tools like Figma, Sketch, and Adobe Creative Suite Experience designing for AI or automation-driven products is a strong plus Knowledge of AR/VR design principles and ability to create user flows for immersive experiences Familiarity with component-based UI systems and responsive design Soft Skills Strong problem-solving and analytical mindset Excellent communication and collaboration skills across technical and non-technical teams Detail-oriented with a user-first approach to design Comfortable working in fast-paced, iterative, and agile teams At Spyne, we go beyond just offering a job we offer a chance to create real impact in a high-growth AI startup. What You ll Love: Performance-Driven Growth: High-impact role with rapid career progression Health & Life Insurance: Comprehensive GMC, GPA, and GTLI coverage Learning & Development: Access to LinkedIn Learning, mentorship, and AI-driven projects Office-First Culture: Collaborate, learn, and build alongside a high-energy team Diverse & Inclusive Environment: One of the best male-female ratios in AI tech Be Part of the Future of Automotive AI If you re passionate about designing next-gen digital experiences and want to be part of a fast-moving, innovation-driven team, we d love to hear from you. Apply now and help shape the visual future of automotive retail. Qualification : Bachelors degree in Design, Human-Computer Interaction, or a related field

Designer Product designer Full-Time Product Design User experience
FI

Principal Data Scientist

Finbox

8+ Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Principal Data Scientist Principal Scientist Data scientist
GA

Associate Data Scientist

Gartner

1-3 Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

Associate Data Data Associate Scientist Associate scientist
SY

Business Analyst

Synechron

8+ Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Job Posting Title: Experienced Business Analyst - Capital Markets & Compliance Job Profile: Lead Business Analyst - Derivatives & Financial Markets Job Description: We are looking for a seasoned Business Analyst with 8+ years of experience to join our team. The ideal candidate will have strong documentation and conceptualization skills and deep expertise in Capital Markets, especially in derivatives, OTC, and transaction reporting. The role involves collaborating closely with Compliance, Operations, and Technology teams to gather and document business requirements, conduct impact assessments, and drive improvements in reporting and exception management processes. You'll work with global teams to align on project execution and solution design. Experience in ecommerce platforms, API, and SDK integration is essential. Primary Skills: Expertise in Capital Markets, OTC Derivatives, and transaction reporting Strong knowledge of ecommerce platforms, APIs, SDKs, and integration 8+ years of Business Analyst experience Strong analytical and problem-solving skills Excellent communication and documentation skills Experience with multi-system/application integration Secondary Skills: Knowledge in Foreign Exchange or Investment Banking Familiarity with Java technologies is a plus Experience in end-to-end platform implementations and application management Diversity & Inclusion Statement: Synechron celebrates Diversity & Inclusion as key pillars of our culture. We are an equal-opportunity employer, committed to creating an inclusive environment. We encourage applicants from diverse backgrounds to apply and are dedicated to fostering a work culture that promotes equality, diversity, and respect for all. About Synechron: Synechron is a global leader in technology and consulting services, specializing in financial services. We offer flexible work arrangements, mentorship programs, and continuous development opportunities for all employees.

Business Analyst Business Analyst Full-Time Business Analysis
SH

Central Analytics Lead

Shiprocket

4+ Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

About Shiprocket: At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains to equip sellers with the tools they need to deliver exceptional customer experiences. What It s Like to Work at Shiprocket: At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things: Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation. Speed is Key: Make swift decisions and take action based on their potential impact. Ruthless Frugality: Be frugal, as it leads to growth and efficiency. Direct Communication: Be transparent and honest in all interactions. Sports Team Mentality: We re not a family, we re here to win as a team. Customer Obsession: Always prioritize the customer and their experience. Role Overview: We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments. Key Responsibilities: Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making. Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics. In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth. Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization. Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights. Team Development: Build and mentor a high-performing team of analysts (future expectation). Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies. Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms. Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools. Preferred Skills & Qualifications: Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment. SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes. Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights. Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges. Growth Mindset: Eagerness to learn and adapt to new challenges and technologies. Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points: Data Infrastructure: Experience in building and scaling data infrastructure and systems. Machine Learning: Experience with machine learning and predictive modeling techniques. Qualification : Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

Analytics Lead Analytics Lead Full-Time Central Analytics Lead
SH

Data Analyst

Shiprocket

2-6 Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

Data Analyst Data analyst Full-Time Data Analysis
MO

Associate Product Led Account Executive

Mongodb

1-2 Years | Not Disclosed | Gurgaon, Haryana, India | Full-time

Product-Led Sales Associate Account Executive Location: Gurugram, India About MongoDB MongoDB s mission is to empower innovators to create, transform, and disrupt industries through the power of software and data. We help organizations of all sizes build, scale, and run modern applications by modernizing legacy workloads, embracing innovation, and leveraging AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database, available in 115+ regions across AWS, Google Cloud, and Microsoft Azure. 175,000+ developers join MongoDB every month, and leading enterprises like Samsung and Toyota trust us to build next-generation, AI-powered applications. This role is based in Gurugram, India. About the Role We are looking for a highly motivated and ambitious Product-Led Sales Associate Account Executive to join our team. In this entry-level sales role, you will own the entire sales cycle, develop strategic customer relationships, and drive revenue growth in your assigned region. Success in this role requires a go-getter attitude, strong sales acumen, and a passion for technology. Hard work, enthusiasm, and initiative are highly valued. Sales Culture at MongoDB MongoDB is always evolving not just in technology, but in our go-to-market sales strategy. Our sales leadership is committed to building the best salesforce in technology by inspiring, enabling, and developing our team. At MongoDB, you ll have access to: A lucrative market with uncapped potential Best-in-class sales training (MEDDIC, Command of the Message, Bootcamps) Expert mentorship from top sales leaders in the software industry A collaborative and high-performance culture We welcome your ideas, feedback, and innovation as we continue to Think Big and Go Far. What You ll Do Identify, prospect, qualify, and close new business opportunities in your assigned territory. Engage with key stakeholders CTOs, Engineering/IT Leaders, and Developers to position MongoDB s value proposition. Develop deep product expertise, understanding MongoDB s capabilities and market differentiators. Manage your sales pipeline efficiently, ensuring timely follow-ups and deal progression. Build strong, long-term customer relationships to unlock future growth opportunities. Collaborate with internal teams including Solution Architects and Professional Services to drive customer success. Participate in world-class sales training programs, including our Sales Bootcamp, leadership development, and advanced sales methodology training. What You Bring 1-2 years of quota-carrying sales experience in a fast-paced and competitive environment. Proven ability to generate a qualified sales pipeline and open new accounts. Track record of overachieving sales targets and closing deals. Ability to articulate the business value of complex enterprise technology solutions. Fluency in English (must be able to communicate effectively with customers). Residing in the assigned territory (Gurugram, India). Strong competitiveness, drive, and ambition to succeed in sales. Familiarity with databases, DevOps, or open-source technology is a plus. Things We Love Previous sales development experience Passion for career growth in the software industry (database market) Familiarity with sales methodologies (MEDDIC, SPIN, Challenger Sales) Knowledge of databases, DevOps, or open-source technology Unparalleled Investment in Your Growth MongoDB invests 8x the industry average in onboarding and career development. Best-in-class training Master MEDDIC, Command of the Message, and advanced sales strategies through comprehensive bootcamps. Career Acceleration Join the fastest-growing segment in the software industry and gain exposure to industry-leading sales techniques. Inclusive and Supportive Culture We foster an environment where employees thrive personally and professionally. Join Us & Make an Impact! At MongoDB, we are committed to inclusion, diversity, and equal opportunity. We provide accommodations for individuals with disabilities throughout the application and interview process please inform your recruiter if you need support. Apply now and be part of the future of data and AI-driven innovation!

Associate Associate product Product associate Account Account associate

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