Top Data Analyst Jobs in Hyderabad

The Reference Data Analyst will manage securities and pricing data, support market data analytics, and collaborate with multiple teams to enhance operational efficiency.

As a Client Data Analyst, you'll manage a team, improve KYC processes, and ensure data accuracy while coaching team members. You'll also handle service issues and support client onboarding requirements.

The Data Analyst will perform product analyses, refine predictive models, manage data quality, and communicate findings across teams in a fast-paced environment.

The Financial Reporting Analyst will lead regulatory reporting, ensuring compliance and technical guidance, while managing complex financial reporting projects.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

As a Fund Servicing Analyst, you'll support financial reporting, collaborate on resolving issues, analyze data to enhance processes, and oversee fund servicing transactions while promoting cybersecurity and continuous improvement.

The Data Analyst role involves data extraction, analysis, client communication, and maintaining high-quality data for investment firms. Responsibilities include researching asset management information, resolving client queries, and improving data collection processes.

The Data Analyst will process and analyze non-financial data, ensure high quality data collation, troubleshoot issues, and collaborate with teams to enhance data collection methods and project execution.

Analyze datasets to identify sales and financial performance trends, develop dashboards, support metrics tracking, and automate reporting processes.

The Legal Data Analyst ensures accurate processing of contract data, supports legal operations, performs data entry, and collaborates on projects to enhance contract management systems.

Transcribe and edit corporate conference calls using speech recognition software. Ensure high-quality transcripts with low error rates while working in a fast-paced environment.

As a Data Analyst translator, you will translate documents, conduct financial research, ensure quality assurance of translations, and collaborate on various projects while maintaining market knowledge.

The Data Analyst will transcribe and edit conference call transcripts using speech recognition software, ensuring high-quality output with attention to detail and business terminology.

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 Data Analyst Senior will analyze complex data trends, develop and deploy analytical workflows, and communicate insights to guide decision-making. Responsibilities include collaborating across teams, resolving data quality issues, and delivering findings through visualizations.

Join PureSpectrum as a Data Analyst to work with data stored in MongoDB, creating dashboards in Superset, automating data queries with Python, and supporting business analytics across 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 delivering data-driven insights for financial planning and performance management using advanced analytics and visualization tools. The analyst builds and maintains dashboards, executes analytics projects, supports predictive modeling, and collaborates with finance teams to enhance reporting processes.

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.

As a Data Analyst, you'll ensure high-quality coding analysis, manage data processes, oversee teams, and support report creation to drive communication success.

Design and maintain SQL-based solutions, optimize ETL workflows using SSIS, and translate business requirements into SQL queries.

The Data Analyst will analyze complex datasets, create insight-driven solutions, map business processes, conduct deep analyses, and ensure successful data integration with stakeholders.

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

Own and drive the Go-To-Market analytics strategy and execution, ensuring data-driven insights for Sales, Marketing, and Customer Success teams.