Top Data Analyst Jobs in Hyderabad

The Senior Reinsurance Data Analyst optimizes reinsurance processes by leveraging data analysis, AI tools, and process improvements while ensuring accuracy and efficiency.

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

Responsible for data extraction, collation, and analysis in asset management; requires communication with investment professionals; ensures data quality and processes for information collection.

The Data Analyst role involves data analysis and reporting, supporting decision-making processes through data insights.

The Data Analyst Manager will lead the data analytics team, develop data strategies, ensure data correctness, and coordinate with different departments for insights.

The Functional Analyst - Data will manage data extraction, validation, and organization from legacy HR systems, ensuring the integrity of archived data and documenting functional requirements while collaborating with technical teams.

As a Data Analyst, you'll convert financial documents into editable files, format data, ensure quality, report daily work, and respond to team communications.

The Data Analyst will analyze and process data from Private Equity firms, ensuring quality control of financial documents and reporting. Responsibilities include data categorization, research, and resolving issues related to cash flow entries and capital transactions.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

As a Product Data Analyst, you'll manage data analytics, capture user behavior, optimize user experience, and analyze user journeys across SaaS and On-premises offerings.

The role involves analyzing data, utilizing Python and SQL, mentoring team members, and communicating insights for business model development. Experience in machine learning and statistical analysis is required.

The role involves developing analytics solutions, collaborating with teams to identify requirements, and improving data platforms to enhance performance.

The Data Operations Business Analyst manages documentation of data specifications and metadata for enterprise data sources, ensuring governance and operationalization. This role collaborates with stakeholders and engineering to create trusted data products and governance processes.

The Sr. Analyst, Data Analytics analyzes data, identifies solutions, develops reports, and communicates strategies to improve business performance in the financial services sector.

The Sr Analyst, Data Science will develop software and algorithms for data analysis, build AI models, collaborate on data projects, and provide actionable insights to drive business goals.

The Data Analyst generates and manages data for reports, oversees coding teams, ensures quality standards, and contributes insights for report production.

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.

Support data migration and mapping activities for Workday, including bulk loads, data quality checks, and documentation under senior analysts' guidance.

Design, optimize, and maintain enterprise database architectures (SQL Server, Oracle) and data lakes. Build ETL pipelines, tune performance, enforce security and governance, support migrations, and mentor junior developers while leveraging AWS data services for analytics and reporting.

Design, implement, and optimize enterprise database architectures and data lakes using SQL Server, Oracle, and AWS data services. Build ETL pipelines, perform performance tuning, enforce security and governance, support migrations and DR, mentor junior developers, and produce technical documentation for healthcare analytics platforms.

Develop and maintain database objects and ETL processes using SQL Server and Oracle. Write complex SQL for extraction, transformation, and reporting. Support data pipeline development, performance tuning, data quality checks, migrations, schema design, production incident resolution, documentation, and code reviews while collaborating with development teams.

Design, build, and operationalize analytics and visualization solutions using data from GCP, Oracle, and SAP HANA. Collaborate with stakeholders to define requirements, apply BI&A methodology, develop dashboards and metrics, and interpret analyses to identify trends, forecasts, and alternatives to support business objectives.

The Data Analyst I role involves analyzing data to solve business problems, supporting business intelligence initiatives, and developing Power BI solutions, while collaborating with various teams and stakeholders.

The role involves overseeing Salesforce data accuracy, managing data operations, performing validation, and generating dashboards and reports. It requires experience in CRM data governance and strong documentation skills.