Top Analyst Jobs in Chennai

Lead data-driven initiatives, analyze complex datasets for trends, develop reporting solutions, and collaborate with cross-functional teams to enhance business decisions.

The Senior Data Analyst leads data analysis efforts, providing insights, managing projects, and developing BI dashboards, ensuring data accuracy and governance.

The Senior Business Intelligence Analyst will support data analytics efforts, enhancing data processes, creating dashboards, and providing insights to optimize performance and drive growth.

As a Senior Strategic Analyst, you will lead risk and fraud analytics, conduct deep analysis, mentor junior analysts, and collaborate with data teams.

The Senior Data Analyst will define source data, ensure data consistency, manage data migrations, and assist stakeholders in delivering strategic solutions in the financial services sector.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

The Data Quality Analyst is responsible for conducting quality audits, analyzing data quality metrics, performing root cause analysis, and collaborating with teams to improve data annotation processes.

The Senior Data Analyst role involves supporting data scientists with complex analytics, conducting data analysis, preparing datasets, and reporting findings to stakeholders, all while maintaining relationships with product managers and data scientists.

The Data Analyst role involves ensuring data quality, analyzing data issues, data cleansing, designing data pipelines, and applying advanced analytical techniques to enhance operations and optimize resources.

The Senior Trading Analyst will develop and refine trading algorithms, evaluate performance, and optimize strategies for energy asset portfolios.

The Senior Data Analyst will analyze complex datasets, develop reporting solutions, support business decisions, and ensure data integrity across platforms.

Analyze complex data sets, deliver actionable recommendations, ensure data accuracy, and present findings to senior leadership.

The Executive Compensation Analyst supports executive pay strategies by analyzing compensation data, preparing presentations, ensuring compliance, and collaborating with multiple teams.

Drive initiatives for business process improvements, mentor junior members, analyze data, influence stakeholders, and create reports.

This role involves developing and validating predictive models, engaging stakeholders, automating business processes using data science techniques, and recommending solutions for complex business issues.

The Market Research Analyst will conduct research and analytics solutions for business problems, utilizing qualitative and quantitative insights from various sources and presenting findings to stakeholders.

Provide financial expertise and support to business units, develop financial models, and analyze data to drive strategic initiatives and improve operations.

The Data Analyst II role involves analyzing data, creating insights, supporting data scientists, and communicating findings to stakeholders.

Gather and process data, conduct trend analyses, develop statistical models, and identify insights to support advertising and media planning efforts.

Assist in the implementation and support of business intelligence solutions by developing reports and dashboards, and understanding data structures.

Assist in implementing and supporting business intelligence solutions, developing reports and dashboards, and communicating with internal stakeholders.

The Agentic Business Analyst will gather requirements, document workflows, and define automation strategies. Collaboration with stakeholders and development teams is essential.

The Senior Analyst will work with analytics leaders to generate insights, develop predictive solutions, and support generative AI initiatives using statistical techniques and machine learning.

As a Senior Data Analyst, you will analyze various data sources to provide insights and recommendations, collaborating with clients to improve data processes.

Assist in managing portfolio investment models, prepare investor reports, monitor performance, and resolve data discrepancies. Collaborate with senior team members for operational metrics and investor communication.