Top Data Analyst Jobs in Hyderabad

Analyze complex datasets, write SQL queries, build and maintain Tableau dashboards, validate and transform data, design data pipelines with Snowflake or IBM DataStage, document processes and flows in Visio, and communicate insights to stakeholders.

The Associate Data Analyst will run and modify SAS Base programs, analyze code, manage data sets, and ensure compliance with company policies while collaborating with stakeholders.

The Data Management Analyst will lead data product initiatives, manage datasets, work across various environments, and ensure governance and quality controls.

The Analyst will manage daily data operations, perform data analysis, ensure operational support for data processing failures, and work collaboratively across functions. They will also provide training to junior team members and maintain communication with stakeholders.

The ITSM Data & Process Governance Analyst supports ITSM processes, analyzes service data, builds dashboards, and facilitates process governance activities to improve IT operations.

The Senior Data Engineering Analyst will build data models in Power BI, maintain analytics pipelines and ensure performance tuning while using Azure and related technologies.

The role involves developing and optimizing ETL pipelines, managing diverse data sources, and ensuring secure data flows for analytics and AI/ML initiatives.

The Senior Data Engineering Analyst will design data pipelines using Azure services, manage data warehousing solutions, create ETL processes, optimize database performance, and mentor junior data engineers while ensuring data security and compliance.

The Supply Chain Data Analyst analyzes complex data sets, monitors inventory levels, develops reports, and collaborates with stakeholders to drive business decisions.

The Lead Data Analyst will manage client inquiries, analyze banking datasets, and leverage SQL and Python for data manipulation. Responsibilities include quality assurance, data visualization using Power BI, and collaborating with cross-functional teams.

Lead business and data analysis initiatives: define KPIs, improve processes, ensure data quality, translate requirements into technical specs, collaborate on Salesforce customizations, present insights, manage projects and UAT, and drive data governance.

Design and optimize SQL scripts, develop Java applications and APIs, lead collaboration sessions, and ensure solutions adhere to RDBMS principles.

The Business Data Analyst II will design and optimize SQL and PL/SQL scripts, develop Java applications and RESTful APIs, gather requirements, and ensure solutions maintain data integrity and security.

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 IT Data Analyst develops complex SQL queries, ensures data quality in ADF/Databricks, resolves data issues, and collaborates with stakeholders on data needs, maintaining documentation and supporting operational requirements.

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

The Data Analyst will analyze complex supply chain data, recommend process improvements, ensure data accuracy, and support AI initiatives across multiple enterprise systems.

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 Senior Data Analyst will oversee data and analytics solutions, mentor other analysts, author functional requirements, and collaborate across teams. They must analyze data and contribute to data governance and architecture.

The Senior Data Analyst will develop data solutions, analyze data contexts, mentor analysts, and collaborate with business and technology teams, requiring strong SQL and Big Data expertise.

Analyze business requirements, optimize algorithms, and work with diverse teams on end-to-end SDLC while adhering to project quality and delivery processes.

The GTM Strategy Lead Data Analyst will transform data into actionable insights, partnering with various stakeholders to drive strategic decision-making and optimize business performance.

The Paymode Data Analyst will manage analytics and toolkit development for strategic programs, using Power BI to create effective dashboards and contribute to revenue operations.