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.

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

The Client Data Analyst role involves enhancing KYC data processes, managing escalated service issues, and analyzing transaction data for compliance and operational efficiency.

The Data Analyst will develop and deploy AI/ML models, analyze complex data, and communicate findings to stakeholders. Attention to detail is crucial.

The Data Management Analyst will analyze data quality issues, adhere to governance standards, and support regulatory reporting. Responsibilities include data profiling, creating metrics, collaborating with stakeholders, and implementing quality initiatives.

The Data Management Analyst will assess and improve data quality, execute audits, support regulatory analysis, and document business metadata requirements.

Lead Data Analyst responsible for addressing client inquiries, improving customer experience, and collaborating across teams to provide solutions in public ownership data.

The data analyst will analyze and process financial data from private equity firms, ensuring data quality control and categorization of financial documents. Responsibilities include identifying issues in data, collaborating with teams, and handling exceptions raised during quality checks.

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.

The Finance Data Analyst will design data models, develop user-friendly dashboards, ensure data compliance, and support analytics training while contributing to a productivity metric framework.

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.

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

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 Data Analyst role involves transforming operational data into actionable insights, developing dashboards and metrics using tools like Tableau, HEX, and Jira, and collaborating with various teams to optimize performance and automate workflows.

Analyze operational metrics and build dashboards in Tableau and HEX, optimize Jira workflows, and create data models in Excel and SQL.

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

The Data Analyst will manage large datasets, build dashboards, analyze pricing strategies, and support pricing operations while collaborating with teams across time zones.

The Data Analyst will manage large datasets, build dashboards, and provide insights for pricing operations while collaborating with multiple teams across regions.

As a Data Analyst, you will analyze complex datasets, map business processes, create data solutions, conduct analyses, and collaborate with stakeholders to enhance data management and visibility of key performance indicators.

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

The Principal Data Analyst will lead data analyses to optimize Udacity's curriculum, monitoring KPIs, and developing scalable assessment methods while influencing strategic decisions across teams.

As a Data Specialist, you will produce data products for institutional clients, ensuring accuracy and providing insights while utilizing programming skills.