Top Data Analyst Jobs in Hyderabad

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Translate client requirements into analyses, gather and analyze data, derive actionable insights using SQL/R/Python/Excel, and build or improve statistical models for decision-making.

Implement and manage SAP data archiving processes across FI/CO and logistics, support data integration and reporting, guide UAT, drive change management, monitor jobs, and troubleshoot performance while coordinating cross-functional stakeholders.

Lead Master Data Management initiatives with a focus on SAP MDG: gather requirements, design data architecture, oversee technical implementation, validate specs, run functional testing, and support vendor/RFP activities.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.

Manage the operational lifecycle of the Flight Plan for e-commerce clients ensuring proper setup, maintenance, and actionable insights from the infrastructure.

Maintain and operationalize the companys data governance artifacts: author and version taxonomies, business glossary terms, and data rules; detect and resolve rule conflicts and gaps; manage metadata and change history; support intake and certification of reference data; produce documentation and governance reporting to ensure rules are usable in production classification and quality workflows.

Lead end-to-end data analysis: transform raw data, develop reports and dashboards (PowerBI), monitor performance and quality, implement ETL and data modeling, apply predictive modeling/NLP/machine learning, and support cross-functional data-driven decisions.