Top Data Analyst Jobs in Bangalore

Lead reporting needs for WKO consumers, document processes for ongoing reporting, define metrics, and create actionable business insights from data.

As a Client Data Analyst, you will manage data collection processes, ensure KYC accuracy, coach the team, and resolve service issues.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

The Client Data Analyst ensures accurate KYC records, manages a team, addresses service issues, and supports client onboarding processes in a finance environment.

The Data Management Analyst role involves analyzing data quality, adhering to governance standards, conducting audits, and collaborating with teams for data management initiatives.

The role involves managing master data for private markets, collaborating with teams, ensuring data accuracy, onboarding entities, and supporting system integrations.

As a Data & BI Analyst, you will analyze complex data and build dashboards to drive strategic business decisions using SQL, Python, and other tools.

The Data Transformation Analyst I will capture engineering standards and regulatory data, maintaining quality and meeting production targets by monitoring and downloading content from suppliers.

As a Data Analyst II, you'll turn raw data into insights using SQL, Python, and Tableau, developing dashboards, automating reports, and analyzing data trends to aid business decisions.

The Data Analyst role involves data collection, analysis, and communication with investment professionals to enhance data quality and assist in client inquiries.

The role involves translating financial documents, conducting market-specific research, and maintaining translation resources while collaborating with various stakeholders to ensure data integrity.

As a Data Analyst at Solventum, you will collect and clean data, analyze trends, create visualizations, and address complex inquiries.

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

In this role, you will analyze data quality, adhere to governance standards, and support remediation efforts in data management.

In this role, you will analyze data, build reports, manage project backlogs, and provide insights for cross-functional teams in support of advertising campaigns.

As a Data Operations Associate, you will analyze data for migration, develop ETL processes, create dashboards, and ensure data quality.

The Sr Data Analyst will analyze large datasets, develop dashboards, deliver insights, and support decision-making to improve business processes.

The Staff Data Analyst will analyze seller experience metrics, create dashboards, and provide insights for business decision-making, utilizing data visualization and collaboration with cross-functional teams.

As a Data Analyst, you will create analyses, solve data-related problems, collaborate with team members, and communicate findings effectively to stakeholders.

The role involves database management, integration of business data, and collaboration with IT for automation. Responsibilities include validating ideas, leading testing, and working with business requirements and analytical tools.

Analyze AI outputs for quality assurance, develop metrics, collaborate on improvements, and audit AI-generated content for compliance.

The FP&A Data Analyst is responsible for data consolidation, automation, revenue analysis, cost optimization, and providing insights to improve business performance, requiring strong analytical and technical skills.

As a Data Analyst, you'll analyze data for insights, build dashboards, support decision-making, and improve data quality across business metrics.

The Data Analyst will enhance operational insights, support client reporting, maintain quality standards, and assist in training while also managing database issues.

The Analyst will maintain counterparty classifications, perform research, ensure data quality, support regulatory reporting, and drive process improvements.