Business Intelligence Analyst Jobs in Bengaluru

Senior Product Manager Location: Bengaluru Department: Product Product Employment Type: Full-Time About Dozee Dozee Health AI is India s leading provider of AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). With a mission to save lives through connected healthcare, Dozee s solutions continuously monitor patients, offering early warnings of clinical deterioration to enable timely interventions. Trusted by hospitals in India, the USA, and Africa, Dozee is transforming patient safety and care, improving outcomes, and reducing healthcare costs. Role Overview As a Senior Product Manager, you will lead the product roadmap and strategy for Dozee s portfolio, including both devices and software applications. You will be responsible for driving product innovation, defining solutions, and ensuring the delivery of products that meet customer needs. This role involves deep cross-functional collaboration to drive successful product launches and customer satisfaction. Key Responsibilities Product Strategy & Roadmap Own and lead the product roadmap, balancing short-term goals with long-term vision. Champion the voice of the customer by deeply understanding their needs and pain points. Work with design/UX teams to define solutions, user interfaces, and workflows that enhance the user experience. Product Development & Execution Translate customer requirements into detailed product specifications. Collaborate with engineering teams to ensure timely delivery of high-quality products. Define and monitor business metrics and OKRs to track success and impact. Cross-Functional Collaboration Align product strategy with business objectives alongside sales, marketing, and service teams. Drive customer success through seamless product experiences and support strategies. Assist in creating marketing materials, including product demos and documentation. Market Research & Competitive Analysis Evaluate market opportunities and perform competitive analysis to identify growth areas. Conduct research to ensure products are differentiated and aligned with global customer demands. Team Leadership & Mentorship Lead and mentor a team of Product Managers, providing guidance, coaching, and support for professional growth. Requirements Experience & Qualifications 5-7 years of experience in Product Management, preferably in healthcare or technology sectors. Proven experience in launching and scaling B2B products. Strong communication skills and the ability to influence cross-functional teams. Experience leading and developing teams to deliver successful outcomes. Skills Ability to think strategically and tactically. Data-driven decision-making with a focus on actionable insights. Expertise in product management tools such as JIRA and Asana. Familiarity with Business Intelligence (BI) tools is a plus. Why Join Dozee Pioneer AI-powered solutions that are saving lives and transforming healthcare. Lead strategy alongside industry experts in a fast-paced, innovative environment. Collaborate with top healthcare providers on a global scale.

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)

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

Job Title: Sr. Data Science Engineer Location: Bangalore Experience: 5 8+ Years Job Description As a Senior Data Science Engineer, you will develop and maintain scalable data pipelines and manage API integrations to support growing data volume and complexity. You will play a key role in ensuring data quality and enabling accurate AI model development through effective data handling and automation. Responsibilities Monitor data quality and implement processes for data cleansing and validation. Analyze data to troubleshoot and resolve data-related issues promptly. Develop automation workflows for efficient data labeling, preparation, and augmentation to improve AI model accuracy and utility. Requirements Proven experience as a Data Scientist, Data Analyst, or related role, with experience in data mining. Strong proficiency in data manipulation using Python or R; familiarity with Scala, Java, or C++ for raw data processing is a plus. Experience with business intelligence tools (e.g., Tableau) and big data frameworks like Hadoop and Spark. Strong mathematical foundation, especially in statistics and algebra. Advanced SQL skills with experience in database development, data migration, and integration. Expertise in exploratory data analysis and familiarity with common data science toolkits. Ability to communicate complex data insights clearly and effectively to non-technical stakeholders. Familiarity with data management tools and experience applying machine learning and AI techniques.

Job Title: Manager - Data Analytics, Credit Card Portfolios Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a next-gen banking technology company empowering banks and fintechs to build the future of financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform Zeta Tachyon is a cloud-native, fully API-enabled banking stack powering issuance, processing, lending, core banking, fraud & risk, and more. Over 20 million cards have been issued globally through our platform. With 1,700+ employees across the US, EMEA, and Asia and 70%+ in R&D, Zeta is backed by SoftBank, Mastercard, and others, having raised $330M at a $2B valuation in 2025. We work with leading banks and fintechs worldwide to transform multi-million card portfolios. Role Overview: We are looking for a strategic and experienced Manager - Data Analytics to lead business intelligence and enterprise reporting for global fintech portfolios including Credit Cards, Deposits, and other financial products. This role involves managing a team of analysts, leveraging multiple data lakes and warehouses, and building a scalable, comprehensive reporting framework for diverse markets including the US, UK, and India. Key Responsibilities: Enterprise Reporting & Data Architecture: Design and maintain end-to-end reporting across the customer lifecycle: acquisition, activation, usage, delinquency, collections, retention, operations, and support. Deliver accurate analysis of key financial KPIs: revenue, profitability, credit risk, defaults, acquisition cost. Build dashboards, self-service BI tools, and automated pipelines using Apache Superset, Metabase, Tableau. Optimize data storage and reporting for scalability and cost-efficiency. Data Integration & Analytics Execution: Collaborate with vendors and internal engineering to integrate data from credit bureaus, open banking, core banking, card and payment processors, loan origination, CCaaS, and aggregators into a centralized Data Lake. Business Intelligence & Growth: Lead analytics projects to uncover user behavior, optimize acquisition channels, underwriting, and portfolio performance via segmentation, cohort, and funnel analyses. Partner with Product and Marketing teams to evaluate experiments (A/B testing) and guide roadmap decisions. Leadership: Build, mentor, and lead a high-performing team of BI analysts and data visualization experts. Data Governance: Establish and enforce data governance best practices, ensuring compliance and data security. Skills & Experience: Expert in BI tools such as Apache Superset, Metabase, Tableau; strong SQL skills. Familiarity with cloud data platforms like Snowflake, Redshift, BigQuery. Deep knowledge of credit and fintech KPIs: acquisition, credit decisioning, delinquency, repayment, charge-offs, profitability, RoA, CLTV, etc. Proven leadership experience managing analytics teams and scaling reporting infrastructures. Excellent communication skills with the ability to translate complex data into business strategies. Knowledge of data governance, privacy, and security in financial services. Qualifications: 10+ years in Business Intelligence/Analytics with 3+ years in the credit card industry. 3+ years managing teams of analysts or data professionals. Bachelor s degree in Computer Science, Engineering, Statistics, or a related field. Equal Opportunity: Zeta celebrates diversity and is an equal opportunity employer. We are committed to fostering an inclusive environment and encourage candidates from all backgrounds to apply. Qualification : Bachelors degree in Computer Science, Engineering, Statistics, or a related field

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

Position: Data Science Intern Analytics, Automation & Problem Solving Location: Bangalore On-site Duration: 3 6 months Internship Experience: Final-year students or recent graduates About the Role: We re seeking a high-agency intern passionate about data and obsessed with solving real-world problems. At 5C Network, data goes beyond analysis it drives systems, operations, and healthcare outcomes. Join our Data Science & Analytics team to go beyond dashboards: own challenges, build automations, and work with data impacting thousands of lives. What You ll Work On: Complex Querying & Data Handling: Write and optimize high-performance SQL queries on large healthcare datasets (PostgreSQL, ClickHouse), troubleshoot discrepancies, and ensure data reliability. Python-based Data Transformation: Clean, manipulate, and transform raw data using Pandas and NumPy; contribute to backend scripts powering dashboards and reports. Dashboarding & Reporting: Assist in creating intuitive dashboards (Metabase, Power BI, Google Data Studio) used for operational, product, and clinical decision-making. Automations & Workflows: Identify repetitive tasks and automate processes with Python, APIs, and reporting tools. Advanced Applications: Collaborate on projects involving natural language data, smart assistants, and auto-triggered insights to enhance decision-making intelligence. Business Context Awareness: Understand the purpose behind every metric focus on solving impactful business problems, not just queries. What We Expect from You: Strong command of SQL with skills in query optimization, debugging, and managing complex data logic. Solid Python skills for data tasks (Pandas, NumPy, scripting). Comfort working with real-world messy data, databases, and schemas. Curiosity and initiative: Investigate anomalies rather than ignoring them. Business-first mindset: Always question the meaning behind metrics. High ownership: Proactively explore, propose solutions, and take charge without waiting for perfect instructions. Willingness to learn and stretch whether automating reports, building tools, or mastering new skills daily. Nice to Have: Experience with APIs, backend data workflows, or FastAPI. Familiarity with Git and data visualization platforms. Interest in healthcare or operations-heavy environments. Exposure to LLMs, text analytics, or no-code/low-code tools (even exploratory). Why This Internship is Different: Real projects with real impact on national healthcare delivery. Exposure to full-stack analytics from pipelines to dashboards to business strategy. Mentorship from experienced data scientists and engineers. Potential opportunity for full-time conversion based on performance. Perks: Paid internship with a stipend. Certificate of completion and potential pre-placement offer. Office located in Bangalore s vibrant startup and health-tech hub.

Position: Intern, Analytics Engineer Location: Bangalore, India Duration: Minimum 6 months commitment About Workato Workato is a leader in enterprise orchestration, helping businesses worldwide connect data, processes, and applications through an AI-powered platform. Trusted by 400,000+ customers, Workato enables organizations to drive efficiency and agility in today s fast-changing landscape. Recognized by Business Insider, Forbes, Deloitte, and Quartz for its innovation and workplace culture, Workato fosters a flexible, trust-based environment. Opportunity to work in a vibrant, innovative culture that balances productivity and self-care. Be part of a fast-growing tech company ranked among the fastest-growing and best for remote work. Take ownership and collaborate with passionate teams driving meaningful business impact. Your Responsibilities Build efficient data models that support analysis and key metrics for internal stakeholders. Optimize analytical workflows with macros, scripts, and packages to improve productivity. Design and develop frontend analytics solutions reports, dashboards, and interfaces to drive data-informed decision making. Contribute to Data Governance initiatives by improving processes. Collaborate with business stakeholders to understand data challenges and develop actionable solutions. Support operational needs across various business units. What You ll Need Currently pursuing a degree in Business Analytics, Information Systems, or a related field. Strong understanding of database concepts (e.g., Entity-Relationship Diagrams). Intermediate SQL skills including joins, CTEs, and window functions. Experience with Business Intelligence tools such as Tableau, Power BI, or Sigma Computing. Experience or familiarity with ELT scripting and tools like Snowflake and dbt Cloud is a plus. Personal Traits Fast learner, adaptable, and comfortable in a fast-paced environment. Excellent organizational and multitasking abilities. Strong analytical skills with clear verbal and written communication to present insights effectively. Collaborative team player with a growth mindset and proactive attitude.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

Competitive Technical Research Analyst Location: Bangalore, India Job Summary Rubrik is seeking a Competitive Technical Research Analyst to empower our sales teams with strategic competitive intelligence. You will be instrumental in maintaining internal collateral, developing battle cards, presentations, and delivering impactful sales training that highlights Rubrik s strengths against competitors. You will collaborate closely with sales, product marketing, and product management teams to provide up-to-date market insights and help Rubrik stay ahead in the data protection and cybersecurity space. Key Responsibilities Collaborate with Sales Enablement to develop sales tools such as cheat sheets, presentations, and training materials. Work alongside Field Enablement and Field Success teams to integrate competitive strategies into sales plays. Develop defensible, data-backed competitive analyses showcasing Rubrik s advantages over competitors. Provide quarterly competitive landscape reports through detailed data analysis and feedback. Deliver day-zero competitive intelligence support on new Rubrik product features and competitive feature sets. Produce in-depth documentation comparing Rubrik solutions with competing products for internal teams. Partner with Product Management and Marketing to create collateral supporting demand generation efforts. Required Qualifications 5+ years in a sales engineer, solution architect, or quota-carrying role within a field sales team. Experience with data protection solutions such as Cohesity DataProtect, Veeam Backup & Recovery, Dell EMC IDPA/DataProtect, Veritas NetBackup, or Commvault. Familiarity with protecting unstructured data from On-Prem NAS and Cloud Object Storage. Experience crafting technical presentations for sales and customer education. Solid understanding of cloud computing architectures and SaaS application protection focused on cyber resilience. Strong knowledge of customer pain points around data protection and cyber resilience. Excellent collaboration skills to drive projects across teams. Ability to analyze competitor products, strategies, and messaging effectively. Skill in translating technical features into compelling business value propositions. High energy and a speed of sales mindset to act with urgency and curiosity. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations build resilience against cyberattacks, insider threats, and operational disruptions. Our Security Cloud, powered by machine learning, protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and rapid recovery.

Senior Data Analyst Location: Bangalore, India Office About the Team Rubrik s Legal Team plays a crucial role in securing the world s data by providing legal expertise across contracts, intellectual property, privacy, employment law, trade compliance, and litigation. The team fosters a culture of innovation, ownership, and collaboration as we build an iconic company. About the Role Rubrik s Legal Operations Team is looking for a skilled and motivated Senior Data Analyst to drive data-driven decision-making and operational efficiency. You will work closely with the Legal department to analyze, visualize, and report legal and compliance data, enabling strategic insights and process improvements. This role requires technical expertise and the ability to translate complex data into actionable business intelligence. Key Responsibilities Collect, analyze, and interpret legal and compliance data from various sources. Develop and maintain dashboards and reports using tools like Snowflake, Tableau, Smartsheets, PowerPoint, and Google Sheets. Track compliance initiatives and identify trends, risks, and improvement opportunities. Collaborate with Legal teams to define KPIs and metrics. Present data insights clearly to stakeholders to guide strategic decisions. Ensure data quality, integrity, and regulatory compliance. Support process optimization initiatives within Legal Operations. Manage reconciliation, validation, and data integrity tasks for critical legal projects. Create executive-level presentations demonstrating data trends and business impacts. Experience and Skills Required 5-8 years of experience in data analytics, preferably supporting legal, compliance, or operations teams. Proficiency in SQL, Tableau, Smartsheets, Excel, PowerPoint, and GSuite. Experience with case management systems and compliance datasets is a plus. Bachelor s degree in Data Science, Business Analytics, Computer Science, Finance, or a related field. Strong analytical skills with the ability to interpret large datasets and provide actionable insights. Excellent written and verbal communication skills, with experience presenting to cross-functional teams and executives. Familiarity with legal and compliance standards preferred but not mandatory. Detail-oriented with strong project ownership and process improvement mindset. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Our Zero Trust Data Security platform leverages machine learning to safeguard data across enterprise, cloud, and SaaS applications helping businesses stay resilient against cyberattacks and operational disruptions. Qualification : Bachelors degree in Data Science, Business Analytics, Computer Science, Finance, or a related field.

Business Intelligence Manager | Power BI | Data Analytics | SQL | Bangalore Location: Bangalore, India Department: Business Analytics & Insights Reports To: Director, Business Analytics & Insights Experience Required: 5+ years in Business Intelligence or Data Analytics Industry: SaaS / Revenue Lifecycle Management About Conga: At Conga, we empower businesses to drive transformational revenue growth by aligning their teams, processes, and technology. Our revenue lifecycle management platform simplifies the complexity of order configuration, fulfillment, and contract renewals through a unified data model and automation. Our culture is defined by the Conga Way a values-based framework that shapes our decision-making, teamwork, and innovation. Position Overview Business Intelligence Manager: We re seeking an experienced Business Intelligence (BI) Manager to join our team in Bangalore. In this critical role, you will lead the transformation of large and complex datasets into actionable insights using Power BI, drive data governance, and automate reporting processes to support strategic decision-making across the organization. Key Responsibilities: Power BI Expertise: Build and optimize advanced Power BI dashboards and reports using DAX and complex data modeling. Team Leadership: Manage and mentor BI developers and analysts, ensuring high-quality and scalable insights delivery. SQL & Data Warehousing: Leverage SQL (preferably with Snowflake) for data transformation and efficient report querying. Automation: Streamline reporting processes using Power Automate and related tools, improving efficiency and accuracy in executive and board-level reporting. Data Governance: Implement data quality, security, and governance standards to ensure reliable analytics. Documentation: Maintain clear and complete documentation of BI solutions, data flows, and reporting logic. Stakeholder Collaboration: Translate business requirements into technical specifications and collaborate with the enterprise data team to enhance existing models and analytics solutions. Qualifications: Minimum 5 years of experience in BI, analytics, or data reporting roles, with at least 2 years leading a team. Proficiency in Power BI, DAX, and SQL. Experience working with Snowflake or other cloud data platforms. Strong understanding of customer retention, renewals, or customer success metrics. Familiarity with Power Automate or similar automation tools is a plus. Demonstrated experience in data governance, data quality control, and standardization across reporting environments. Bachelor s or Master s degree in Engineering or a related technical field. A technical degree with an MBA is preferred. Excellent communication skills capable of presenting technical insights to both business and technical audiences. Join a forward-thinking SaaS company leading the charge in revenue lifecycle management. Work in an inclusive, values-driven environment with opportunities for career development and innovation. Be part of a culture where clarity, collaboration, and customer-centricity drive everything we do. Qualification : Bachelors or Masters degree in Engineering or a related technical field. A technical degree with an MBA is preferred.

Senior Manager Business Intelligence | Power BI | Data Strategy | SQL | Bangalore Location: Bangalore, India Reports To: Director, Business Analytics & Insights Experience: 8+ years in Business Intelligence / Analytics Leadership Industry: SaaS | Revenue Lifecycle Management | Data & Analytics About Conga: At Conga, we empower businesses to achieve transformational revenue growth by aligning teams, technology, and processes through our comprehensive Revenue Lifecycle Management solutions. We simplify complexity across contract management, order execution, fulfillment, and renewals using a unified data model built to adapt to dynamic business needs. Our culture is defined by the Conga Way a people-first framework developed with input from employees that guides everything we do from hiring to leadership to innovation. Role Overview Senior Manager, Business Intelligence: We are seeking a highly driven Senior Manager Business Intelligence to lead our Power BI development team, drive analytics strategy, and modernize how we deliver data insights across the organization. Based in Bangalore, this high-impact leadership role is responsible for building scalable reporting infrastructure, streamlining automation, and delivering clear, actionable insights for senior stakeholders and executive decision-makers. Why this role matters: This position plays a critical role in transforming business intelligence from manual reporting to dynamic, real-time dashboards using Power BI. Your contributions will shape how our business leaders consume data, identify opportunities, and make informed decisions faster and with more accuracy. Key Responsibilities: Leadership & Oversight: Manage and mentor a team of Power BI developers and data analysts, guiding prioritization, best practices, and technical problem-solving. Foster a culture of data-driven decision-making across the organization. BI Development & Data Modeling: Lead the development of interactive Power BI dashboards, leveraging advanced DAX functions and data models. Utilize SQL (preferably in Snowflake) to support backend data transformation and reporting. Stakeholder & Project Management: Collaborate with cross-functional teams, including IT and enterprise analytics, to define project scopes, business priorities, and reporting solutions. Translate ambiguous business requirements into clear, actionable technical specifications. Data Governance & Documentation: Implement and oversee data quality, security, and governance standards across all BI assets. Maintain comprehensive documentation for BI tools, data models, and business logic. Automation & Process Efficiency: Oversee automation of recurring deliverables including board reports, senior leadership dashboards, and key business performance metrics. Leverage Power Automate and other workflow tools to reduce manual effort and enhance reporting accuracy. Strategic Data Integration: Partner with enterprise data teams to improve data integration and ensure scalability and reusability of analytics assets. Qualifications: 8+ years of experience in Business Intelligence, Analytics, or Data Strategy, including team leadership. Strong hands-on experience with Power BI, DAX, and SQL (preferably with Snowflake or similar cloud platforms). Proven success in project management, requirement gathering, and stakeholder engagement across multiple business units. Bachelor s or Master s degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred. Experience in data governance, automation, and working in a SaaS or enterprise software environment is a plus. What Sets You Apart: Excellent communicator You bridge the gap between technical and non-technical stakeholders with ease. Strategic mindset You think beyond dashboards to the big picture of business impact. Problem solver You enjoy tackling complex data challenges and finding innovative solutions. Passionate leader You inspire teams, drive accountability, and bring a growth mindset to everything you do. Drive data transformation at a high-impact SaaS company. Be part of a people-first culture that values growth, innovation, and inclusivity. Work on mission-critical projects that support strategic decision-making for global leadership. Qualification : Bachelors or Masters degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred.

Job Title: Intellectual Property (IP) Intelligence Analyst Location: Bengaluru, India About the Role: As an IP Intelligence Analyst, you will play a critical role in supporting Danaher s innovation and business strategy through patent search, analysis, and competitive intelligence activities. Focused on life sciences, bioprocessing, and clinical diagnostics technologies, this role partners with IP counsel, technical experts, and business leaders across Danaher and its operating companies. This position is part of the Danaher IP Intelligence Team, located in Bengaluru, India. Key Responsibilities: Conduct comprehensive patent searches and analyses, including freedom-to-operate (FTO), patentability, and landscaping studies, to support new product development, M&A, partnerships, and strategic initiatives. Deliver competitive intelligence by analyzing competitor patent portfolios and generating insights using advanced tools and databases. Assess internal and external IP portfolios to identify gaps, risks, and opportunities aligned with business growth objectives. Build and maintain customized IP databases and repositories to support long-term knowledge management. Collaborate with cross-functional teams including R&D, legal, and corporate development, ensuring IP insights inform strategic decisions. Required Qualifications: Master s or Ph.D. in Biotechnology, Genomic Science, Biochemistry, Bioinformatics, Biomedical Engineering, or Bioprocessing, with strong domain expertise. 1 2 years of experience in the intellectual property domain, including familiarity with patent databases, search tools, and legal-tech platforms. Demonstrated experience in conducting FTO, patentability, and landscape analysis with minimal supervision. Strong analytical and critical thinking skills, with the ability to synthesize complex technical and legal information into actionable insights. Excellent communication skills, both written and verbal, in English. Ability to work across interdisciplinary areas and adapt to evolving project needs. Additional Information: Travel requirement: Up to 10%, based on project and business needs. This role is eligible for bonus/incentive pay. Danaher offers a competitive and comprehensive benefits package. Qualification : Masters or Ph.D. in Biotechnology, Genomic Science, Biochemistry, Bioinformatics, Biomedical Engineering, or Bioprocessing, with strong domain expertise.

Job Title: Data Analyst Location: Bengaluru Company: LoadShare Networks About LoadShare Networks At LoadShare, we re building India s largest intra-city logistics marketplace. Founded in 2017, we are a Series C startup backed by a strong set of investors (Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, Filter Capital), focused on building a profitable and impactful business. We work with all major enterprise clients covering a wide range of intra-city use cases, including: Quick Commerce: Blinkit, Zepto, BBNow Food Delivery: Swiggy, Zomato Hyperlocal: Apollo, Licious Grocery: Reliance, Spencers, ONDC eCommerce: Flipkart, Amazon, Meesho, ShipRocket Bike Taxi: Uber, Ola Scale & Reach: Delivering over 500K orders per day across food, e-commerce, grocery, etc. Operating in 500+ towns nationwide with a fleet of 20K+ riders. Our tech platform powers 1M+ shipments daily. Role Overview As a Data Analyst at LoadShare, you will be an integral part of our Data team, responsible for designing, developing, and maintaining analytics reports and dashboards that measure, monitor, and alert the business regarding operations and product metrics. You ll work closely with internal teams to troubleshoot data issues, build ETL pipelines, and contribute to process improvements and innovation. Key Responsibilities Analyze, design, and develop analytics reports and dashboards to track key business metrics, providing insights into operational performance. Use your strong SQL skills to troubleshoot data issues in complex workflows and work with product and tech teams to resolve them. Build and maintain ETL pipelines to support data movement and integration across systems. Create ad-hoc reports as requested, ensuring timely and accurate delivery. Present findings and actionable recommendations to both business and non-technical stakeholders using effective storytelling techniques. Collaborate with product, business, and tech teams to understand the business domain and deliver insightful reports and dashboards that support business growth and optimization. Continuously improve data models, ensuring data is accessible and accurate for decision-making across the organization. Work on in-house technology projects to bring innovation and process improvements. Job Requirements Technical Skills: Strong proficiency in SQL and experience with writing and tuning SQL scripts. Around 1-2 years of experience coding in Python (experience in web scraping is a plus). Experience in data modeling, data warehousing, and building ETL pipelines. Familiarity with Business Intelligence (BI) tools such as Zoho Analytics, Metabase, Redash, Tableau, or Power BI. Collaboration: Ability to partner effectively with product, business, and tech teams to understand the business needs and develop reports and dashboards that support business growth. Communication: Strong communication skills, both written and verbal, with the ability to present complex data and insights to both technical and non-technical stakeholders. Problem-Solving: Proactive in identifying data issues, troubleshooting, and providing solutions that improve data integrity and usability. Key Skills SQL, Python, ETL Pipelines Data Modeling, Data Warehousing BI Tools: Zoho Analytics, Metabase, Redash, Tableau, Power BI Data Analysis & Reporting Communication & Collaboration

Investigator Payments Analyst Location: Bengaluru Job Overview: The Investigator Payments Analyst is responsible for supporting the delivery of all required start-up contracting activities for selected sponsors, studies, or multi-protocol programs. This includes pre-award activities and providing essential operational and financial contracting support. The role ensures compliance with sponsor requirements, regulatory guidelines, and project timelines. Essential Functions: Grant Estimates & Proposal Support: Develop simple investigator grant estimates and proposal text to support the proposal development process. Contracting Tools & Systems: Utilize and maintain contract and budget templates and contracting systems, tools, processes, and training materials for selected sponsors, ensuring alignment with the Scope of Work and Project Plan. Collaboration & Communication: Coordinate with sponsors, stakeholders, and RSU regions to ensure successful delivery of projects in compliance with sponsor requirements and the RSU Management Plan. Operational & Financial Support: Provide operational and financial contracting support to facilitate business development and efficient initiation and maintenance of clinical trials, ensuring compliance with regulatory requirements. Documentation Support: Assist in creating and reviewing scientific, technical, and administrative documentation to support business development and enable study initiation and maintenance. Contracting Intelligence: Contribute to the collection, interpretation, analysis, and dissemination of contracting intelligence for assigned studies and the company. Efficiency & Reporting: Ensure contracting efficiency and adherence to project timelines and financial goals, and report on performance metrics and out-of-scope activities. Compliance & Quality Standards: Ensure compliance with contract management and quality standards, providing administrative and operational support to investigators and managers as required. System & Database Management: Accurately complete and maintain internal systems (including CTMS), databases, tracking tools, timelines, and project plans. Qualifications: Education: Bachelor's degree required. Experience: At least 1 year of relevant experience, including demonstrable experience as a contract negotiator or equivalent combination of education, training, and experience. Skills & Knowledge: Negotiation & Communication: Strong negotiation and communication skills to facilitate contract discussions and maintain professional relationships with sponsors. Interpersonal Skills: Ability to work effectively in teams and with internal and external stakeholders. Technical Writing: Strong technical writing skills for creating and reviewing proposals and documentation. Clinical Trial Knowledge: Understanding of clinical trial environments and the drug development process. Regulatory Knowledge: Knowledge of GCP/ICH guidelines, applicable regulatory requirements, and SOPs. Organizational Skills: Excellent organizational and planning skills for managing contracting activities. Software Proficiency: Strong knowledge of Microsoft Office and other relevant software tools. Contract Management: Good understanding of clinical trial contract management, including pricing models, proposals, and budgets. Additional Skills: Ability to interpret pricing models, prepare proposals, bid grids, and budgets. Ability to work in a matrix team environment and build effective working relationships with sponsors, co-workers, and managers. Ability to exercise independent judgment when negotiating contracts and making decisions. This role offers an exciting opportunity for individuals who have a strong foundation in contract negotiation and management, along with an understanding of the clinical trial landscape. If you are a detail-oriented, proactive individual with a passion for working in the healthcare and clinical trial industries, we encourage you to apply. Qualification : Bachelor's degree required.

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.

Data Engineer Role Overview We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. You will work closely with data scientists, analysts, and engineers to ensure efficient data processing and storage solutions that support business intelligence and analytics needs. This role requires expertise in SQL, big data technologies, and cloud platforms to build and optimize data workflows. Key Responsibilities Data Pipeline Development & Optimization Design and build scalable ETL/ELT processes for structured and unstructured data. Develop and maintain data ingestion frameworks to handle large datasets efficiently. Ensure data integrity, consistency, and security across multiple sources. Database & Data Warehouse Management Develop, optimize, and maintain relational and NoSQL databases. Implement data modeling best practices for performance and scalability. Work with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Big Data & Cloud Technologies Leverage big data tools (e.g., Spark, Hadoop, Databricks) for data processing. Work with cloud platforms (e.g., AWS, Azure, GCP) to build and optimize data solutions. Develop real-time and batch processing workflows. Collaboration & Documentation Work closely with data scientists, engineers, and business teams to understand data requirements. Document data pipelines, architecture, and workflows for scalability and maintenance. Required Qualifications & Skills Technical Expertise: Strong experience with SQL and Python for data processing. Proficiency in ETL/ELT frameworks and data integration techniques. Hands-on experience with big data tools (e.g., Apache Spark, Hadoop, Kafka). Cloud & Database Management: Expertise in cloud data platforms (Azure, AWS, GCP). Experience with data warehousing solutions (Snowflake, Redshift, BigQuery). Understanding of data governance, security, and compliance. Performance Optimization & Troubleshooting: Ability to optimize SQL queries and improve data processing efficiency. Experience troubleshooting complex data pipeline issues. Apply Now & Be Part of an Innovative Data Team!

Position: Data Analyst Company: Nineleaps Location: Bangalore, India Experience: Relevant experience in data analysis and business intelligence Industry: Technology Consulting Job Type: Full-Time About Nineleaps Nineleaps is a boutique technology consulting firm that helps funded ventures and enterprises accelerate their product development and data efforts. With over 500+ team members, we are based in Bangalore, India. Over the past 10 years, our engineers have delivered 200+ pragmatic solutions to complex challenges across industries like Retail, e-Business, Advertising, Finance, Transportation, Healthcare, and Education. Job Description We are seeking a Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, analyzing, and visualizing data to support business decision-making and deliver actionable insights. Primary Responsibilities: Enhance data collection procedures to ensure relevant data is captured for analysis. Process, cleanse, and verify the integrity of data for analysis. Work with cloud databases and on-premises Microsoft databases. Perform statistical analysis to uncover trends and insights. Create data visualizations to present insights effectively. Develop business intelligence reports and dashboards. Communicate findings clearly and collaborate with cross-functional teams. Desired Skills: Strong SQL experience. Proficiency in Python for data analysis. Experience with Power BI, Tableau, or Google Data Studio (optional but preferred). Strong communication and analytical skills.