Top Data Analyst Jobs in Hyderabad

Act as a contact for Party Reference Data end users, resolving data and technical issues, performing testing, and improving client experience.

As a Client Data Analyst, manage team performance, oversee data verification processes, support KYC compliance, and drive organizational change.

The Reference Data Analyst supports end users by resolving data and functionality inquiries, conducting testing, and collaborating with teams to improve operational efficiency and data management.

As a Client Data Analyst, you manage data collection processes, ensuring accuracy of KYC records and support client onboarding while coaching teams.

The Client Data Analyst role involves managing a team to ensure accurate KYC records, addressing service issues, and supporting client onboarding processes.

Lead strategic data initiatives, ensuring data quality support for business processes, regulatory compliance, and project management in investment banking.

As a Data Management Analyst, you will support data quality and integrity through audits, profiling, governance policies, documentation, and collaboration with business and technology partners.

The Data Analyst will conduct data collection, analysis for investment plans, and resolve client inquiries while enhancing data accuracy and quality.

You will govern Rightsline, ensure data quality in the supply chain, analyze datasets with SQL, and propose governance improvements.

The Data Services Analyst manages data transformations and integration projects, develops cloud data pipelines, and collaborates with teams to support client deliverables.

The Senior Reliability Data Analyst will analyze reliability data, assess risks, and develop strategies to improve asset reliability across multi-site operations.

The Data Analyst provides analysis and consulting services for clients, develops analytical solutions, supports campaign activities, and engages with clients to fulfill data requirements.

The Data Analyst will respond to data requests, evaluate data quality, contribute to AI/ML projects, and develop data pipelines using SQL and Python.

The Senior Data Analyst is responsible for processing and validating online market research data, creating cross-tabulations, and ensuring deliverables meet client expectations and timelines.

The Senior Data Analyst leads data analysis efforts, providing insights, managing projects, and developing BI dashboards, ensuring data accuracy and governance.

The role requires transforming raw data into insights that shape product strategy, evaluating performance metrics, developing reports, and collaborating with teams to enhance product success.

The Sr Data Analyst will analyze large datasets, develop dashboards, deliver insights, and support decision-making to improve business processes.

The Senior Data Analyst will define source data, ensure data consistency, manage data migrations, and assist stakeholders in delivering strategic solutions in the financial services sector.

The FBS Data Analyst will build dashboards, analyze transcription data, ensure data quality, and create NLP insights while liaising between business and IT teams.

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.

The role involves developing dashboards, analyzing procurement processes, ensuring data accuracy, and collaborating with cross-functional teams to enhance operational efficiency.

The Data Analyst generates and manages data for reports, oversees coding teams, troubleshoots issues, and supports Senior Analysts in data export and report production.

The Data Analyst supports operational activities, communicates business issues, suggests process improvements, and collaborates with team members to deliver quality results for clients.

The Data Analyst supports client operations by ensuring quality deliverables, implementing process improvements, and executing defined operational models while collaborating with stakeholders and the engineering team.

Manage ETL processes and support delivery operations, ensuring client satisfaction through data conversions, automation tasks, and collaboration with teams.