Top Business Analyst Jobs in Hyderabad

Lead discovery with stakeholders to define requirements and deliver scalable BI and analytics solutions. Drive financial forecasting, KPI frameworks, reporting standards, and adoption of AI-enabled analytics. Coordinate with BI, data engineering, and business teams across functions to ensure governance, UAT, and production readiness while improving processes and data quality.

Design and maintain executive dashboards, perform omnichannel media measurement and deep-dive analyses, generate actionable insights for media campaigns, support attribution and test-and-learn frameworks, and partner with stakeholders to drive reporting, data quality, and analytics initiatives.

Lead analytics partner to business leaders: prioritize analytics opportunities, build data-driven solutions, oversee financial and quantitative modeling, ensure contract compliance, present to senior leadership, manage projects, and support pricing and market implementations.

Conduct consultative analytics and deliver executive-level recommendations and ad hoc analyses to business and finance partners. Build self-service dashboards and presentations, perform predictive modeling and time-series forecasting (preferably for workforce optimization), provide cost-benefit analyses for investments, and streamline processes while communicating insights to senior stakeholders.

Design, build, and maintain BI dashboards and reports; gather requirements; perform SQL-based ETL, validation, and analysis; ensure data quality; troubleshoot discrepancies; support ad-hoc requests; automate reporting; document reports and data models; collaborate with Product, Engineering, Data Engineering, and Client teams.

The Power BI Administrator will manage the Power BI environment, support governance, automate workflows, and ensure compliance with data standards. Responsibilities include overseeing deployment, troubleshooting issues, and mentoring stakeholders on BI best practices.

Transform raw data into actionable insights by collaborating with business units, optimizing SQL queries, enhancing Tableau dashboards, and driving process improvements.

Partner with business stakeholders to convert questions into data analyses, build predictive models (regression, decision trees, random forest, SVM), produce visualizations and scorecards in Tableau/PowerBI, surface insights and recommendations, and communicate results to senior leaders. Drive POCs to implementation and handle large structured and unstructured datasets; working knowledge of LLMs/GenAI and deep learning is advantageous.