Business Insights Jobs in Bengaluru

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Revenue Operations Analyst Location: Bangalore About Us FalconX is transforming institutional access to the digital asset markets by bridging the gap between traditional finance and the world of crypto. As a leader in the industry, we address the most pressing challenges in the market, offering innovative solutions that support trading strategies, liquidity, and structures akin to conventional financial markets. At FalconX, we empower our clients with seamless navigation through the evolving crypto landscape, from inception to scale. Role Overview We re looking for a dynamic Revenue Operations Analyst to join our growing team and help elevate the Revenue Operations (RevOps) function at FalconX. In the past year, our RevOps capabilities have matured significantly, with solidified processes in reporting, operational support, and actionable business insights. We re now at a pivotal moment where we need to scale these efforts further to provide strategic insights, improve operational efficiency, and support cross-functional projects. As a key member of the team, your role will focus on managing core revenue operations tasks while also driving value-added projects that impact the business. You ll be a crucial enabler, supporting both the foundational work in RevOps and the new, high-impact initiatives the business requires. Additionally, you ll play an important role in managing inbound lead qualifications, ensuring seamless handoff to the Sales team. Key Responsibilities Data-Driven Insights & Reporting: Leverage your analytical skills to support and manage critical reports and insights for the business, including: QBR decks and quarterly reviews Board material and leadership presentations Ad-hoc reporting for various stakeholders Core Operational Support: Collaborate with cross-functional teams to maintain and deliver essential operational support for the Revenue function. Key tasks include: Account split and territory management Validating account coverage and tiering Ensuring accurate parent-child mapping and reporting regions Pipeline management and data validation Lead Qualification & Inbound Lead Management: Manage inbound leads from web inquiries, qualify them based on defined criteria, and facilitate the smooth handoff to the Sales team. This involves: Contacting leads to assess their potential Coordinating with Sales for follow-up and feedback Tracking lead conversion metrics and identifying opportunities for process improvement Collaboration & Performance Tracking: Work closely with the Sales team to ensure lead response and qualification processes are streamlined. Track and report on key performance indicators (KPIs) such as: Call volume and outcomes Lead conversion rates CRM system usage and data accuracy Qualifications Bachelor s degree (or equivalent experience) 1-3 years of experience, ideally in a Revenue Operations, Sales Operations, or related role Strong analytical skills, with the ability to extract insights and drive business decisions from data High attention to detail and data accuracy Experience with CRM tools (e.g., Salesforce, HubSpot), BI tools, and basic coding skills (for manipulating data in BI tools) Proficiency in Google Sheets, Excel, or similar tools for data management Excellent written and verbal communication skills Preferred Qualifications Experience in the cryptocurrency or blockchain industry Familiarity with financial services or brokerage operations Ability to generate strategic insights on how financial services firms can expand their offerings and improve client servicing The opportunity to be part of a cutting-edge company at the intersection of finance and technology A collaborative, fast-paced environment with the chance to make an immediate impact Professional growth and development in a rapidly evolving industry Competitive salary and benefits package Qualification : Bachelors degree (or equivalent experience)

Strategic Initiatives Manager Founder s Office Location: Bangalore Experience: 2+ years Work Type: Full-Time About Scimplify Scimplify is a specialty chemicals manufacturing company providing end-to-end solutions from R&D and custom synthesis to large-scale manufacturing and doorstep delivery. Headquartered in Bengaluru, we serve industries including pharmaceuticals, agrochemicals, industrial chemicals, personal care, and fragrances. We enable 500+ businesses across 20+ countries to scale innovative chemicals from lab to commercial production. Backed by $54M from top-tier investors like Accel and Bertelsmann, we have a global team of 250+ professionals operating across India, Japan, USA, UAE, and Indonesia. Role Overview We are seeking a high-caliber Strategic Initiatives Manager to join the Founder s Office. This is a high-impact, cross-functional role offering direct exposure to strategic decision-making, business operations, and growth initiatives. You will work closely with the founders to solve complex problems and drive critical projects across the organization. Key Responsibilities Partner with founders on high-priority strategic and operational initiatives. Conduct research, market analysis, and data-driven insights to inform business decisions. Build internal processes and frameworks to address key organizational challenges. Collaborate with teams across product, operations, finance, and growth to execute special projects. Prepare reports, dashboards, and presentations for internal and external stakeholders. Requirements 2 6 years of experience in management consulting or related strategic roles. B.Tech/B.E from a Tier 1 college; a Master s degree is not required. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. High ownership, agility, and comfort with ambiguity. Willingness to hustle and go beyond defined responsibilities. Qualification : B.Tech/B.E from a Tier 1 college a Masters degree is not required

Associate Inside Sales Location: Bengaluru Employment Type: Full-Time About ClinChoice ClinChoice is a global leader in providing full-service clinical development and post-approval solutions to the world s top pharmaceutical, biotechnology, medical device, and consumer health companies. Since 1995, we ve partnered with innovators across the healthcare spectrum to accelerate clinical trials, ensure regulatory compliance, and advance patient safety. With operations spanning the U.S., U.K., Mexico, Armenia, China, Japan, India, and the Philippines, we deliver high-quality, data-driven solutions tailored to our clients unique needs. Position Summary We re seeking a motivated and detail-oriented Inside Sales Associate to join our growing team in Bengaluru. In this role, you will drive lead generation and business development initiatives by identifying new opportunities, reaching out to prospects, and supporting cross-functional collaboration to expand ClinChoice s footprint. Key Responsibilities Lead Generation & Outreach Research potential clients, including current and pipeline products, and identify key decision-makers. Initiate contact via targeted emails and cold calls to introduce ClinChoice s services and generate qualified leads. Consistently achieve monthly and quarterly goals for scheduling meetings with prospective clients. Maintain accurate records of all outreach activities, meetings, and follow-ups in the CRM system. Cross-Functional Collaboration Work closely with the Business Insights team to pinpoint opportunities and contribute to tailored marketing campaigns. Assist in distributing marketing assets to prospective clients and stakeholders. Market Intelligence & Learning Stay informed about ClinChoice s capabilities, offerings, and active projects. Build and maintain a robust knowledge base of client systems, industry trends, and market developments. Track changes in technology, operations, and regulatory landscapes to identify new sales opportunities. Additional Responsibilities Comply with all company policies, procedures, and data protection guidelines. Maintain strict confidentiality in all communications and documentation. Support broader organizational and departmental goals. Actively participate in training programs and ongoing learning initiatives. Candidate Profile Bachelor s degree in Commerce, Life Sciences, or a related field; MBA preferred. 0 2 years of relevant experience in sales, business development, or a similar role. Proficient in MS Office tools (Word, PowerPoint, Excel). Basic understanding of biostatistics is a plus. Strong analytical, communication, and interpersonal skills. Self-motivated, proactive, and able to work independently with a solution-oriented mindset. Be part of a globally recognized organization at the forefront of clinical innovation. Collaborate with cross-functional experts from around the world. Grow your career in a fast-paced, learning-oriented environment. Qualification : Bachelors degree in Commerce, Life Sciences, or a related field; MBA preferred

Associate Manager / Manager Business Finance Location: Bangalore Work Type: Full-Time About Ninjacart Ninjacart is India s largest agri-tech platform, revolutionizing the agri ecosystem through technology, data, and innovation. Over the last decade, our India-first solutions have transformed how fruits and vegetables move from farms to consumers plates, empowering farmers, traders, and retailers in ways never done before. We aim to be the digital network for global agri commerce, solving structural challenges such as information asymmetry, payment inefficiencies, distribution gaps, and market discovery for buyers and sellers. With over $350 million in funding from investors including Walmart Group, Tiger Global, Accel, Syngenta, and others, Ninjacart is recognized as one of Top 25 Startups to Work For. We foster a results-driven, entrepreneurial culture where leaders enjoy autonomy, tackle large-scale challenges, and drive real impact. Our products Ninjacart, Ninja Mandi, Ninja Global, Ninja Kirana, and Ninja Kisaan cater to all segments of the agri value chain. Our mission is to build the most trusted, efficient, and inclusive AgriTrade Network in India. Role Overview We are seeking a strategic, analytical, and hands-on Business Finance Manager to join our Business Finance team. As a P&L owner, you will analyze financial data, prepare insightful reports, and provide recommendations that support strategic decisions and business growth. Key Responsibilities Financial Analysis & Reporting: Analyze financial data, create models, and prepare reports to support business decisions. Operational & Strategic Planning: Translate the operating plan into a financial plan with measurable milestones; track performance against targets. Variance Analysis & Insights: Analyze past results, perform variance analysis, identify trends, and recommend corrective actions. KPI Design & Implementation: Define key metrics to monitor business performance and provide early signals for stakeholders. Process Improvement: Develop and standardize reporting tools, dashboards, and ad-hoc financial models to enhance efficiency. Cross-Functional Collaboration: Work with teams across Finance, Operations, and Strategy to gather data requirements and ensure accuracy. Market Research & Valuation: Conduct market research, data mining, business intelligence, and comparative valuations to support strategic initiatives. Qualifications & Skills Education: B.Tech or MBA in Finance, Accounting, or related field; candidates pursuing CFA are welcome. Experience: Less than 2 years of relevant finance experience. Skills & Attributes: Strong analytical and quantitative skills with high attention to detail. Understanding of financial analysis, basic accounting principles, and P&L management. Excellent stakeholder management, organizational, and interpersonal skills. Ability to work independently, take ownership, and drive measurable business impact. As a Ninja, you will take ownership of impactful projects, collaborate with a high-energy team, and contribute to transforming India s agri ecosystem. If you are resilient, smart, and ambitious, this is your chance to make a real difference. Join Ninjacart. Pioneer change. Create better lives. Qualification : B.Tech or MBA in Finance, Accounting, or related field

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Job Title: Lead Analyst Market Research Location: Bangalore Employment Type: Full-Time Job Overview We are seeking a strategic and intellectually driven Lead Analyst to join our Sector Research team. In this role, you will lead deep-dive research into emerging global technology sectors, define scalable research frameworks, and produce high-impact insights. This position is ideal for professionals passionate about startups, emerging technologies, and becoming thought leaders in their sectors. Key Responsibilities Conduct in-depth research and develop deep domain expertise in assigned technology sectors such as SaaS, FinTech, HealthTech, Enterprise Applications, or ClimateTech. Design and implement structured research frameworks and data definitions for complex, evolving business models. Track and evaluate high-potential startups, technologies, and emerging global trends. Produce detailed sector landscapes, strategic reports, and research notes with actionable insights. Contribute to the development of scoring models and tagging frameworks to scale intelligence across platforms. Review and mentor the work of junior analysts to maintain quality, consistency, and research depth. Act as a sector-level thought partner and contribute to shaping the company s broader research direction. Graduates from top-tier institutions (IITs, NITs, BITS, IIMs) preferred. 4 8 years of experience in market research, consulting, venture capital/private equity, analytics, or strategy roles. Strong exposure to startups, emerging technologies, and sector-specific developments. Experience in secondary research, framework development, and report writing. Exceptional analytical, written, and verbal communication skills. Proven ability to work independently, define structure in ambiguity, and mentor cross-functional teams in a fast-paced environment. What You Can Expect at Tracxn Meritocracy-driven, candid, and transparent culture no internal politics. Work with intellectually curious and driven colleagues. Opportunity to design and implement research processes for accuracy, scalability, and impact. Continuous learning and mentorship in a high-growth environment. Clear, performance-based career progression with leadership visibility. Qualification : Graduates from top-tier institutions (IITs, NITs, BITS, IIMs) preferred

Job Title: General Manager Market Research Location: Bangalore Employment Type: Full-Time About the Role We are seeking a motivated, self-driven leader with a strong technical background and a passion for market research to join our Sector Research team. This is a senior role focused on driving high-quality market research across diverse sectors including FinTech, SaaS, FoodTech, Cybersecurity, Healthcare, and more. This position involves managing and mentoring a team of subject matter experts while leading the research strategy and process improvements. Note: This role is specifically for candidates with a market research or related background. It is not suitable for Investment Analysts, Associates, CAs, CFAs, or Finance Executives. Key Responsibilities Lead Sector Research Oversee multiple market research projects across sectors such as FinTech, SaaS, FoodTech, etc. Guide and mentor a team of researchers, ensuring high-quality, insightful research outputs. Define strategic direction for sector research and ensure alignment with business goals. Process Ownership & Team Management Take complete ownership of research processes within the department. Identify and resolve project bottlenecks to meet deadlines and quality standards. Organize and facilitate training programs to upskill team members as needed. Provide ongoing mentorship and constructive feedback to foster continuous improvement. Collaborate with senior stakeholders to review project status and implement course corrections. Department Blueprint & Strategy Design foundational building blocks and operational blueprints for the research department. Gather inputs from peers and secure buy-in from senior management. Develop a prioritized roadmap of actionable projects to drive impact and efficiency. Implementation & Optimization Build scalable and efficient research processes, with an emphasis on accuracy and automation. Define and track KPIs to measure project and team performance. Address team queries and integrate solutions into Standard Operating Procedures (SOPs). Monitoring & Continuous Improvement Establish protocols and MIS reports to monitor departmental health and project progress. Escalate any non-compliance or quality concerns promptly. Identify opportunities for new projects and process enhancements based on data insights. Continuously refine the department blueprint and processes to optimize outcomes. Requirements Graduated from a Tier 1 institute with top-notch academic credentials. 5+ years of experience in market research, business strategy, consulting, or related fields. Strong analytical and problem-solving skills; ability to apply first-principles thinking. Proven leadership skills with a passion for mentoring and developing team members. Collaborative mindset with the ability to work across departments. Results-driven, with a high level of ownership and commitment to excellence. Strong decision-making skills grounded in logical reasoning and openness to feedback. What You Can Expect at Tracxn A meritocracy-driven and candid culture with zero politics. Collaborative environment with intellectually curious colleagues. Fast-paced learning with continuous mentorship to help you reach your full potential. Qualification : Graduated from a Tier 1 institute with top-notch academic credentials

Position: MIS Analyst Location: Bangalore Experience: 0 2 years Industry: Fintech / Financial Services About Muthoot FinCorp ONE Muthoot FinCorp ONE is the digital arm and strategic business unit of Muthoot FinCorp Ltd., a trusted name in financial services. We re building a robust digital ecosystem that offers customers access to a wide range of financial products across Lending, Saving & Investment, Protection, and Remittance. As a fintech startup with the backing of a legacy brand, we combine innovation with reliability. Our mission is to simplify financial access through a seamless, user-friendly platform and to be the most trusted digital financial services provider in the country. Startup agility with enterprise stability High-growth, high-ownership environment Mentorship from industry veterans Attractive compensation and benefits Work on real impact projects from day one Role Overview: As an MIS Analyst, you will play a key role in leveraging data to drive strategic decision-making. You ll be responsible for reporting, analysis, and generating business insights that influence product, marketing, operations, and revenue strategies. Key Responsibilities: Analyze business data to identify patterns, trends, and actionable insights Design, build, and manage internal dashboards and reporting tools to track key performance indicators (KPIs) Deliver weekly, monthly, and ad-hoc reports for senior leadership and business teams Collaborate with cross-functional teams to understand data needs and support strategic initiatives Work with large datasets to uncover insights related to user behavior, channel performance, customer journeys, etc. Conduct deep dives into key business questions using SQL, R, Excel, or Python Communicate findings clearly to both technical and non-technical stakeholders Create models and frameworks to predict business outcomes and identify opportunities Ensure data integrity and accuracy across reports and visualizations Support campaign analysis and performance tracking for digital marketing efforts Key Skills & Qualifications: Bachelor's in Engineering, Mathematics, Statistics, or related discipline OR MBA from a reputed institute 0 2 years of experience in MIS, Data Analysis, or Business Analytics Proficiency in SQL and data visualization tools like Tableau, Power BI, QlikView Experience with reporting tools (e.g., Business Objects, Excel) Working knowledge of statistics and tools like R, SAS, SPSS Familiarity with data pipelines and querying large datasets Strong analytical skills and attention to detail Excellent communication and presentation skills Prior experience or understanding of NBFCs, banking, or lending products is a plus Preferred Tools & Platforms: SQL / Hue / ETL frameworks Tableau / Power BI / QlikView R / Python Excel / Google Sheets Join us at Muthoot FinCorp ONE and make your mark on the digital financial landscape. Apply now and let s build the future together. Qualification : Bachelor's in Engineering, Mathematics, Statistics, or related discipline

Data Analyst Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT / Data Analytics Job Summary: We are looking for a detail-oriented Data Analyst with strong skills in SQL, Python, and Excel to extract actionable insights and optimize data pipelines on popular cloud platforms. The ideal candidate will be passionate about clean, reproducible code and thrive in a collaborative team environment. Key Responsibilities: Write efficient SQL queries and develop data extraction, transformation, and loading (ETL/ELT) pipelines on cloud platforms Automate data extraction and data insertion into Management Information Systems (MIS) using Python Analyze data sets and extract actionable business insights to support decision-making Maintain high standards of data quality and ensure reproducible, clean code Collaborate effectively with cross-functional teams and communicate findings clearly Continuously learn and adapt to new analytics tools and techniques Preferred Skills & Qualifications: Strong proficiency in SQL, Python, and Excel Experience building and optimizing data pipelines on cloud platforms such as Google Cloud Platform (GCP) Familiarity with Google BigQuery, Metabase, CleverTap, Google Data Studio, Firebase, and Google Analytics Hands-on experience with data visualization tools like Tableau and Google Data Studio Knowledge of ETL/ELT pipeline development and data flow architecture Excellent attention to detail with a passion for clean and efficient coding Strong interpersonal and communication skills to work collaboratively with diverse teams Good to Have: Experience with automated reporting and dashboard creation Prior exposure to marketing analytics tools and user behavior tracking Work with cutting-edge cloud data technologies and analytics tools Opportunity to grow your skills in data engineering and visualization Collaborative work culture focused on continuous learning and innovation

Marketing Reporting Analyst (Night Shift 8:30 PM to 5:30 AM IST) Location: Bangalore, India Office About the Team At Rubrik, our Marketing Team is growing rapidly and plays a pivotal role in driving the company s mission to secure the world s data. We push boundaries, challenge convention, and thrive on innovative thinking. With a culture rooted in opportunity and empowerment, we bring bold ideas to life and deliver measurable impact. Join us in shaping a fresh perspective in the world of data security. Let s be unstoppable, together. About the Role This is a night shift position, supporting our global marketing initiatives and ensuring timely reporting and insights for the U.S. team. What You ll Do Data Analysis & Reporting Analyze marketing performance across digital (organic & paid), traditional channels, and campaigns. Build and maintain dashboards and performance reports using tools like Tableau and Google Sheets/Excel. Performance Measurement Partner with the Sr. Manager of Marketing Analytics to implement the performance measurement roadmap. Track and report key metrics: lead generation, conversion rates, campaign spend, marketing ROI. Insights & Optimization Identify data trends and deliver actionable insights to improve marketing strategy. Support A/B testing, multi-touch attribution, and budget monitoring efforts. Handle ad hoc reporting requests from stakeholders. Data Integrity & Collaboration Ensure high data accuracy and resolve data quality issues proactively. Collaborate with IT and Data Engineering to maintain best practices for database management. Work cross-functionally with Marketing, Sales, Data Science, and IT to align reporting practices and deliver business insights. Contribute to the development of attribution models for marketing impact assessment. What You ll Bring 4 5 years of experience in an analytical role (marketing, finance, or related field). Bachelor's degree in Finance, Accounting, Marketing Analytics, or a related discipline. Expertise in Excel and Google Sheets advanced formulas, pivot tables, and data visualization. Experience with Tableau or Power BI. Solid grasp of financial concepts and their application in marketing analysis. Familiarity with Salesforce and marketing automation platforms (e.g., Marketo, HubSpot) is a plus. Working knowledge of SQL and relational databases. Strong attention to detail and ability to manage multiple priorities and deadlines. Excellent verbal and written communication skills able to translate complex data for non-technical audiences. A growth mindset and a proactive, solutions-oriented approach to challenges. Be part of a mission-driven company at the forefront of data security. Work alongside industry innovators and contribute to a fast-scaling marketing function. Enjoy a collaborative environment where your insights directly influence business outcomes. Access growth opportunities in a company recognized by Gartner and awarded the Red Dot Design Award. About Rubrik Rubrik (NYSE: RBRK) is redefining data security with Zero Trust Data Security . We help organizations across the globe stay resilient in the face of cyberattacks, insider threats, and disruptions. Rubrik Security Cloud, powered by machine learning, secures data across hybrid and cloud environments, ensuring data integrity, availability, and rapid recovery.

Analytics Lead/Architect Location: Bengaluru, Karnataka, India Job Category: Consulting Job Type: Regular Employee Role: Individual Contributor Job Description: As a BI Architect, you will work on both offshore and onsite client projects. Your responsibilities will involve working with Oracle BI Applications, OAC (Oracle Analytics Cloud), and ODI (Oracle Data Integrator) implementations. You will engage with clients to understand their requirements, lead technical designs, and oversee system and integration testing using Oracle methodologies. You will also contribute to PreSales, the creation of Go-to-Market (GTM) strategies, and take the lead in developing IP/solution accelerators. Additionally, you will be responsible for owning the technical delivery of large, complex projects. Responsibilities: Lead Oracle BI Applications, OAC, and ODI implementations. Interact with clients to understand and gather business requirements. Oversee technical design, development, and system/integration testing. Contribute to PreSales activities and the creation of Go-to-Market (GTM) strategies. Lead the development of IP/solution accelerators. Own the technical delivery of large and complex projects. Required Skills: BI (Business Intelligence) expertise. Experience with Oracle Data Integrator (ODI). This position offers the opportunity to work on cutting-edge analytics technologies and deliver impactful solutions in a collaborative and dynamic environment. If you have significant experience in Oracle BI and ODI implementations, and enjoy leading large, complex projects, we would love to hear from you.

Position: Commercial Operations Analyst APAC Location: Bengaluru, India We are seeking a Commercial Operations Analyst to join our APAC team, based in Bengaluru. In this role, you ll transform complex datasets into actionable business insights that directly impact commercial strategies across the APAC region. You'll partner closely with cross-functional teams to deliver data-driven solutions that boost performance and operational efficiency. This role reports to the Commercial Operations Director, APAC. What You ll Do Become a subject matter expert in APAC commercial data identifying trends, delivering prescriptive and predictive insights, and solving business challenges. Collaborate with regional stakeholders to support decision-making through analytics, dashboards, and reports. Identify opportunities for process improvements in daily analytics tasks such as funnel management and sales effectiveness tracking. Maintain data integrity by monitoring quality and addressing issues in a timely manner. Support commercial planning, opportunity management, and forecasting by analyzing large and complex data sets. Design and develop dashboards and visualizations to support funnel performance, pricing insights, and sales strategies. Required Qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 3+ years of relevant experience as a data analyst or in a similar analytics role. Strong skills in Microsoft Excel and Power BI. Working knowledge of CRM tools like Salesforce (SFDC) and ERP platforms like Oracle. Proven ability to design and improve business processes through data. Preferred Skills: Strong problem-solving and critical thinking abilities with keen attention to detail. Excellent communication skills able to present complex data insights clearly and effectively. Highly organized and capable of managing multiple projects in a fast-paced environment. Qualification : Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

Job Title: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Your Impact As a Data Science Analyst at McKinsey, you will collaborate closely with the Insights & Analytics (IA) group and consulting teams to solve analytically complex client problems in the marketing domain. You will apply advanced analytical and modeling techniques, drawing insights through statistical techniques and predictive modeling to guide marketing efforts. Your primary responsibility will be client service, with an additional focus on knowledge development within the team. Key activities will include: Performing statistical analysis and modeling to support marketing-related client engagements. Developing and refining statistical models aimed at optimizing pricing strategies and promotional activities. Providing guidance to teams on analytics projects, particularly on technique and modeling-related issues. Supporting the development and maintenance of McKinsey s proprietary marketing techniques and contributing to other knowledge development initiatives. Coaching and mentoring new hires by sharing your business, technical, and functional expertise. Delivering high-quality, client-ready end products on time, with attention to detail and performing quality checks as required. Your Growth You will be a key part of McKinsey s Growth, Marketing & Sales (GM&S) team, based in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics (IA) group of GM&S. This team leverages McKinsey's decades of experience in marketing and sales to help leading companies improve pricing, promotions, assortments, and performance management. The GM&S Solutions team blends cutting-edge software, tailored services, and deep expertise to provide clients with a comprehensive view of their commercial and financial performance. By integrating various data sources into a central data warehouse, the team enables clients to make informed decisions using advanced analytics. McKinsey Solutions fosters innovation in areas such as design thinking, mobile, and social, helping to reshape the consulting model toward asset-based solutions. This is a growing area within McKinsey, with a vibrant ecosystem of alliances, strategic acquisitions, and the development of new products and services that redefine how McKinsey works with clients. As part of McKinsey Solutions, you ll be part of a team of more than 1,000 dedicated professionals, including over 800 analysts and data scientists, working on impactful, innovative solutions. Your Qualifications and Skills Mandatory: Master s degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background. 2+ years of relevant work experience in analytics, business intelligence, or advanced analytics with an analytics firm. Proficiency in statistical programming software such as Python, and comfortable working with large datasets. Familiarity with R and SQL is also preferred. Experience in handling large volumes of data, including data manipulation, data cleansing, and data matching using tools like R, SQL, and Excel VBA. Strong analytical and problem-solving skills, with the ability to break down complex issues, identify root causes, and recommend actionable solutions. Knowledge of forecasting, regression analysis, and segmentation methodologies. Experience with modeling techniques, including logistic regression, linear regression, cluster analysis, CHAID, and similar approaches. Industry experience in consumer goods, telecom, or retail is a plus. Ability to thrive in a dynamic and evolving environment where priorities change frequently, and methodologies are often challenged. Capacity to work efficiently under pressure and meet tight deadlines. Qualification : Masters degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background.

Senior Data Scientist Experience: 1-4 Years | Location: Bengaluru About Gameskraft: Founded in 2017, Gameskraft has rapidly become one of India s fastest-growing online gaming companies. Our mission is to build a safe, secure, and responsible gaming ecosystem while delivering unmatched experiences through cutting-edge technology and design. We are the only gaming company in the industry with ISO 27001 and ISO 9001 certifications. About the Role: As a Senior Data Scientist, you will play a key role in driving data-driven decision-making by developing and implementing advanced analytics and machine learning solutions. You will work on high-impact projects across different business units, collaborating with stakeholders to optimize business performance and user experience. Key Responsibilities: Data Strategy & Governance: Develop and execute a data strategy aligned with business goals. Identify and prioritize high-value data science opportunities. Ensure data accuracy, integrity, and governance by working with data engineering teams. Advanced Analytics & Machine Learning: Design, develop, and deploy machine learning models for regression, classification, clustering, and time-series forecasting. Stay updated with state-of-the-art algorithms and implement innovative solutions. Optimize data pipelines and model performance for scalable deployment. Collaboration & Innovation: Work closely with business leaders, product teams, and IT to integrate data science solutions into business processes. Foster a culture of innovation by exploring emerging technologies and methodologies. Translate complex technical concepts into actionable business insights for non-technical stakeholders. Performance Monitoring & Reporting: Define and track KPIs to measure the impact of data science initiatives. Continuously optimize models for improved accuracy and efficiency. Present insights and recommendations to senior management. What You Bring to the Table: Education: Master s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field. Experience: 2-4 years of hands-on experience in building and deploying data science solutions. Proven expertise in machine learning, statistical modeling, and analytics. Experience working with large-scale datasets and high-performance computing frameworks. Technical Skills: Proficiency in Python and libraries like scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy, Matplotlib. Experience with Big Data technologies (Hadoop, Spark, distributed computing frameworks). Familiarity with Cloud Platforms (AWS, Azure, GCP) and services like S3, Redshift, Databricks. Deep learning expertise is a plus. Soft Skills & Leadership: Strong communication and stakeholder management skills. Ability to simplify complex data science concepts for non-technical audiences. A proactive problem-solver and team player. Why Join Us? Work on cutting-edge AI & ML projects in one of India s fastest-growing tech companies. Collaborate with top industry leaders and work in a fast-paced, dynamic environment. Competitive compensation and growth opportunities. A diverse, inclusive, and innovation-driven work culture. If you re passionate about AI, Data Science, and driving real-world impact, we d love to hear from you! Qualification : Masters or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field.

About GBFS Team: The Global Business and Finance Support (GBFS) team provides operational support to Qualcomm s headquarters and global regional teams, focusing on finance and business operations activities such as sales incentive planning, reporting, forecasting, basic analysis, and deriving insights from key business metrics. This role is designed to offer world-class internal support to sales teams, customer service, and HQ, ensuring seamless operations and helping them overcome business challenges with the help of tools like Salesforce, Tableau, and Power BI. General Summary: As a Business Operations Analyst, you will be responsible for supporting sales performance, forecasting, data analysis, and CRM management. The ideal candidate will possess strong analytical and technical skills, collaborate with cross-functional teams, and have a passion for delivering valuable business insights. Key Responsibilities: Generate detailed sales performance reports and dashboards, providing actionable insights to inform strategic decisions. Prepare accurate sales forecasts and assist with incentive planning. Collaborate with cross-functional teams, such as sales, finance, and IT, to ensure process alignment and operational efficiency. Maintain and optimize the Salesforce CRM system, ensuring data accuracy and supporting sales activities. Support monetization processes and analyze business performance metrics. Conduct transition calls and process reviews with HQ and global regional teams. Document processes, prepare reports, and offer recommendations for process improvement. Flexibly participate in evening calls (8 PM 11 PM IST) or work in shifts (2:30 PM to 11:30 PM) as needed for reviews and global coordination. Perform additional ad hoc business operations activities as required. Minimum Qualifications: 4 6 years of relevant experience in business analysis and operations activities. Strong proficiency in Advanced Excel, Salesforce, and incentive reporting and analysis. Solid understanding of business process monetization. Excellent analytical and problem-solving skills with a conceptual approach to data analysis. Strong communication skills (both verbal and written) and ability to work with global teams. Flexible schedule, with availability for evening calls and HQ reviews. Preferred Qualifications: Experience with tools such as Tableau and Power BI for data visualization and reporting. Educational background in Business Analytics, Business Administration, or related fields from a reputed B-school. Bachelor s degree in Science, Technology, Commerce, or Economics. Diploma in Business Analytics is a plus. Why Join Qualcomm? At Qualcomm, you ll work in a dynamic and innovative environment, collaborate with global teams, and contribute to cutting-edge business operations. We offer: Opportunities for learning and professional growth. Flexible working arrangements and a supportive work culture. The chance to work with some of the brightest minds in the industry. Qualification : Bachelors in science / B Tech / commerce / economics and/or

About the Role: This role focuses on developing applications and UI/UX for end-users to automate processes. The Web Developer will design and develop REST APIs, integrate with existing enterprise APIs, connect to external vendor software, maintain code documentation, and innovate on web server deployment and scaling. Role Responsibilities: Develop applications and UI/UX for end-users to facilitate automated processes. Design and develop REST APIs for reusable modules. Integrate with existing enterprise APIs. Connect to external vendor software to insert/update records and generate reports. Maintain documentation and source control of all code. Innovate on better ways to deploy and scale services related to the web server. Educational Qualification: Graduate/Post-graduate degree in Business Management, Statistics, Economics, Technology, or Finance. Required Experience: 3+ years of experience in web development, data science, or a related field. Highly proficient with PHP, JavaScript, HTML, CSS, and SQL (Postgres preferred). Familiar with AWS services (DynamoDB, RDS, EC2, Elasticache, S3) recommended. Docker and Kubernetes experience preferred. Laravel Framework experience preferred. Required Skills and Competencies: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with a high degree of attention to detail and a commitment to accuracy. Deep understanding of databases, including relational and dimensional databases. Advanced proficiency in multiple BI platforms, reporting systems, and toolsets. Excellent verbal and written communication skills with a strong aptitude for problem-solving. Ability to work effectively in a fast-paced environment, contributing independently and within a collaborative team. Comfortable working under deadlines and performing multiple tasks effectively and concurrently. Experience handling structured and unstructured data from internal and third-party sources. Qualification : Graduate / post-graduate degree in Business Management/Statistics/Economics/ Technology/Finance Required Experience

Job Description: We are seeking a dynamic Manager/Senior Manager for MIS and Analytics to lead data-driven decision-making efforts across the organization. In this role, you will lead a team of analysts to collect, analyze, and interpret data from various sources, transforming insights into actionable recommendations for the business. Your expertise in data analytics, coupled with strong leadership skills, will be vital in steering the company towards its strategic objectives. Key Responsibility Areas: Lead a team of data analysts, providing guidance, mentorship, and support in daily activities. Design and implement an analytics strategy aligned with the company s business goals. Collect, analyze, and interpret data from multiple sources, including internal operations, finance, and third-party tools, to identify trends and opportunities. Specifically, gather and analyze financial data monthly, quarterly, and annually to assess revenue, cost, and EBITDA by business vertical, product, process, and location. Deliver regular profitability analyses and insights to Senior Management, offering recommendations for areas of improvement. Collaborate cross-functionally to define KPIs and develop dashboards and reports to measure performance. Provide actionable insights to stakeholders based on data analysis to support data-driven decisions and business growth. Identify areas for automation to enhance productivity and serve as a liaison between IT and operations for implementation. Stay updated on industry trends and advancements in analytics tools to drive continuous improvement. Lead data governance initiatives, ensuring data quality, accuracy, and security. Partner with IT teams to optimize data infrastructure, systems, and tools for efficient data processing. Communicate complex findings to technical and non-technical stakeholders, including senior management, through presentations, reports, and visualizations. Promote a culture of data-driven decision-making, fostering a continuous improvement mindset across the organization. Requirements: Bachelor s degree in Business Management, Data Analytics, or related field; Master s degree preferred. 8-10 years of experience in analytics or a related field, with at least 5 years in a leadership role. Strong track record in delivering impactful insights and recommendations based on data analysis. Experience in formulating and executing analytics strategies in a corporate setting. Solid understanding of data governance principles and practices. Exceptional people and stakeholder management skills. Familiarity with data visualization tools and best practices. Experience with large datasets and statistical analysis techniques. Relevant certifications in analytics tools or methodologies are a plus. Qualification : Bachelors degree in Business Management, Data Analytics, or related field; Masters degree preferred.

Role Overview: The Sr. Analytics Business Partner will focus on supporting India-specific needs within Adobe s Employee Experience organization while also engaging in global projects. This role will involve building strong relationships with HR leaders and stakeholders to guide data-driven decision-making in alignment with business priorities. Key Responsibilities: Stakeholder Management: Serve as the primary point of contact for HRBPs, HR COEs, and other leaders, building deep relationships to ensure alignment between business needs and analytics. Consulting & Strategic Partnership: Collaborate with HRBPs and business leaders to understand priorities and provide actionable insights based on analytics, research, and HR trends. Data-Driven Decision Making: Conduct complex data analyses and present insights that drive business decisions, ensuring clarity and impact for non-analytical audiences. Data Privacy & Confidentiality: Champion proper data handling practices to maintain confidentiality and privacy standards. Cross-Team Collaboration: Work with the People Analytics team, including data science, research, and business intelligence, to transform business requirements into technical reporting/BI solutions. Communication & Reporting: Author presentations and reports to communicate insights and business context, influencing action and alignment with HR initiatives. Required Qualifications: Experience: 12+ years in HR, with a focus on People Analytics or consulting. Experience working with HRBPs and senior leadership is a must. Expertise: Advanced degree or equivalent experience in I/O psychology or related fields, with solid understanding of HR functions, challenges, and best practices. Technical Skills: Proficiency in R or Python for data analysis. Expertise in statistical and analytical methods, including forecasting models and insights generation. Storytelling & Communication: Strong competency in presenting data-driven insights in an easily understandable and actionable manner, maintaining integrity of results. Certifications: HR Analytics Certification (preferred). Qualification : Advanced degree or equivalent experience in I/O psychology or related fields, with solid understanding of HR functions, challenges, and best practices.