Top Data Analyst Jobs in Bangalore

Lead end-to-end analytics projects: design and deliver statistical and ML solutions (including Generative AI), migrate analytics to cloud, produce reports, and consult stakeholders to align data models and requirements.

Lead Data Analyst anticipates customer needs, develops solutions, solves complex problems, performs advanced analyses, reviews others' work, forecasts resources, may lead teams or projects, and provides guidance on critical issues while ensuring policy compliance.

Analyze large-scale game data to identify opportunities, deliver analytics and ML projects, build dashboards and production-ready models, and collaborate with game teams and stakeholders to drive business impact and improve player experience.

Analyze complex datasets, write SQL queries, build and maintain Tableau dashboards, validate and transform data, design data pipelines with Snowflake or IBM DataStage, document processes and flows in Visio, and communicate insights to stakeholders.

The Senior Data Analyst will enhance customer experience through analytics and reporting while improving service effectiveness and operational visibility for the Customer Success organization.

The Senior Data Analyst in Fraud Investigations will analyze large datasets to detect fraud patterns, lead investigations, and develop mitigation strategies.

The Data Transformation Analyst is responsible for capturing and maintaining data related to engineering standards and regulatory compliance, ensuring high quality and timeliness.

The role involves conducting strategic analyses, designing experiments, implementing experimentation tools, and collaborating with product and engineering teams to improve customer experience at EarnIn.

The Senior Market Data Analyst will manage market data inventory, process invoices, assist in documentation, and contribute to data analysis while ensuring exceptional client service.

The Market Data Operations Analyst will manage market data inventory, process invoices, support data analysis, and contribute to process improvements while ensuring exceptional client service.

The Lead Data Analyst is responsible for developing interactive dashboards, collaborating on projects, and ensuring data accuracy in support of business decision-making.

Investigate and manage chargebacks, retrievals, fraud alerts, and payment disputes. Maintain dispute databases, correspond with banks/customers, analyze transaction patterns, and collaborate cross-functionally to improve payment operations and ensure regulatory compliance.

The Marketing Data Analyst will manage data from Salesforce and HubSpot, performing analyses to support B2B marketing strategies and drive decision-making through insights, reporting, and dashboarding.

The Data Analyst will collect, clean, and analyze datasets, support data-driven strategies, and collaborate with clients for tailored analysis. They will also develop reports and dashboards and improve data quality processes.

Develop end-to-end BI solutions for SaaS/online products: design architecture, build dashboards, analyze sales/financial data, automate reporting, and drive analytics adoption using SQL, Snowflake, Power BI, Power Platforms, Python and ML.

The Analyst will support product managers and data managers in enhancing IP topology capabilities through data analyses, process improvements, and collaboration with teams while ensuring accurate data audits and customer support.

The Global Data Analyst will support the Marketing and Sales Performance Management team through data analysis, visualization, and reporting using tools like Power BI and Salesforce. Responsibilities include maintaining high data quality, developing actionable insights, and training stakeholders on report usage.

Lead the development of interactive dashboards and reports, collaborate with various teams, ensure data accuracy, and implement system solutions for business needs.

The Data Analyst will design and deploy data solutions within Skywise/Palantir Foundry, promoting data-driven decision-making and improving user experience.

As a Data Analyst Associate, you will support healthcare organizations by analyzing data trends, creating dashboards, and performing root cause analysis to optimize revenue cycle management and improve clinical outcomes.

The Data Analyst will uncover insights from complex datasets, collaborate with teams, design dashboards, and influence product strategy to drive business outcomes.

The Financial Data Analyst will conduct data analysis, support financial audits, manage cross-functional projects, and collaborate with stakeholders in finance and accounting.

The Data Analyst will evaluate product impacts using data analysis, assist in visualizations and reports, and work collaboratively with clients and teams for insights.

The Data Analyst role involves developing reports and dashboards, optimizing SQL queries, and using Excel for data analysis to provide actionable insights.

As a Senior Data Analyst, you will conduct data analysis, assist in forecasting, and translate business needs into analytical frameworks. Collaboration with various teams is crucial to drive clarity and effective communication.