Top Data Analyst Jobs in Hyderabad

Perform advanced data analyses, build and maintain end-to-end visualization dashboards, automate reports and KPIs, translate stakeholder requirements into analysis, document findings, and provide technical support and improvements to analytics solutions.

Support finance and insurance reporting by producing revenue forecasts, preparing month-end close deliverables, performing reconciliations and SOX evidence, resolving data integrity issues, automating repetitive tasks and building AI-enabled Copilot agents and workflows to improve efficiency. Provide ad hoc analysis, vendor liaison, and documentation to scale AI solutions.

Build and maintain automated dashboards and perform regular performance analyses across pricing, product, and procurement. Develop analytical models for price/product optimization, PVM, PPV tracking, forecasting, and elasticity/variance analysis. Automate workflows and models using SQL, Python/R, Power BI, and automation tools.

Manage and analyze banking partner wallet, revenue, and relationship data; build dashboards and scorecards; monitor performance trends; provide executive insights and ad-hoc analysis; support reporting automation and Aladdin/Dynamics CRM data initiatives to strengthen strategic partnerships.

Design, build, and govern HSW data solutions and analytics; deploy AI and automation into HSW processes; produce Power BI dashboards and regular reports; support Cority operations; drive data strategy, governance, and actionable insights to improve safety and operations.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

Analyze and organize reliability data for fixed and non-fixed industrial assets, assess failure probability and consequence, develop reliability strategies, gather operations and maintenance data, facilitate customer validation, use database and office software, and support multi-site reliability projects with up to 50% travel and potential relocation.

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.

Develop and maintain enterprise Power BI dashboards and semantic models, perform complex SQL data analysis, create executive reports and visualizations, ensure data quality and governance, collaborate with business stakeholders to deliver analytics solutions, and support predictive analytics initiatives to inform strategic decisions.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Develop and maintain enterprise Power BI reports, dashboards, and semantic models. Perform complex SQL-based analyses, validate and cleanse data, create executive visualizations, and collaborate with stakeholders to deliver data-driven recommendations that support business strategy and predictive analytics initiatives.

The role involves building scalable data models, automating reporting, implementing metrics, developing dashboards, and ensuring data quality across teams globally.

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

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.

Design, build, and maintain ETL/data pipelines using Sparkola, PySpark, and SQL. Validate and reconcile datasets for downstream analytics (QlikSense, Superset). Use CML for development, manage jobs via Sparkola Job Server, and liaise with business stakeholders while following governance, JIRA, and change-control processes.

Design, develop, and maintain interactive Power BI/Fabric dashboards, conduct data analysis to surface trends and insights, collaborate with stakeholders to gather requirements, ensure data quality through ETL and modeling, and present findings to inform business decisions.

Assist in designing, developing, and maintaining data product pipelines. Collate and analyze data using SQL, Python and GCP. Support and coach colleagues, follow established procedures, identify process improvements, and perform prescribed project and product engineering activities under senior guidance.

Designs, standardizes, migrates, transforms, validates and optimizes data across multi-database platforms. Builds and maintains ETL pipelines, supports client data lifecycles, troubleshoots production defects, contributes across SDLC, and maintains code in GitHub. Supports off-hours processing and ensures data quality and policy adherence.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

The Software Engineer - Data Analyst / Developer will support the BI team by analyzing business needs, developing reports, dashboards in Tableau, ensuring data quality, and providing user support.

Analyze complex supply chain data to improve performance, monitor inventory, develop reports, and support key initiatives in collaboration with stakeholders.

The role involves collecting, preparing, and reporting statistical data, ensuring data accuracy, and providing technical support for analytical tools. Communication with stakeholders and maintaining data dictionaries are key responsibilities.

Design, develop, and maintain scalable ETL pipelines and data integrations. Build and optimize complex SQL, Python automation, and reporting solutions (Power BI/Tableau/SSRS). Troubleshoot performance, ensure data quality and governance, participate in client-facing discussions, code reviews, deployments, and technical design.

Lead execution of CIM data strategy by defining governance, building governed investment data assets, performing data profiling and transformations, and partnering with investment and tech teams to productionize scalable, high-quality reporting-ready datasets.