Top Data Analyst Jobs

Manage end-to-end analytics for performance guarantees across strategic accounts: execute recovery and accrual analytics, build SQL-based pipelines and Looker dashboards, support RFPs/renewals with scenario modeling, partner with Sales/Customer Success and Data Engineering, and present technical findings to internal leaders and clients to mitigate financial risk and drive actionable insights.

The Senior Enterprise Data Governance Analyst will implement and operationalize data governance initiatives, drive adoption of data catalogs, and ensure standardization of metrics across domains.

Annotate and label images and video from humanoid robots using proprietary tools, collaborate with ML engineers on guidelines, flag edge cases, maintain quality and throughput, and provide feedback to improve workflows.

As a Senior Data Analyst, you will analyze data, create reports, manage data pipelines, and provide insights to influence product decisions. You will collaborate with various teams and perform A/B testing.

The Senior Data Analyst oversees data analytics projects, managing processes from data collection to deliverable completion, providing analysis and modeling, and coordinating with legal personnel.

The Data Collector/Analyst will collect, validate, and analyze test data from border security systems, performing statistical analysis and supporting evidence-based recommendations.

Design, build, and maintain scalable data pipelines and platforms for banking data. Collaborate with teams to ensure secure, reliable data products.

The Data Governance Analyst will support data governance initiatives by establishing requirements, maintaining data governance metrics, and ensuring compliance with policies and standards while enhancing data assets.

The Senior Data Analyst will lead data analysis and reporting in experiential marketing, working with stakeholders to translate data into insights and improve business decisions. Key tasks include building data pipelines, ensuring data quality, and creating dashboards for visualization of key metrics.

Partner with stakeholders to define metrics and deliver dashboards and insights. Build and optimize data models in Amazon Redshift, design and maintain scalable ETL pipelines using Python and Apache Airflow, monitor data quality and pipeline performance, and participate in code reviews and engineering best practices to support analytics and reporting needs.

Ensure accuracy, completeness, and consistency of subscription data across systems. Collaborate with data engineering and analytics to identify and resolve data quality issues, lead process improvements, and support data governance efforts.

Design, build, and maintain Operations data architecture and ingestion pipelines for Manufacturing, Quality, Logistics, and Supply Chain. Transform source systems into analytics-ready Snowflake datasets using dbt, Alteryx prototyping, and Azure data services. Ensure governance, testing, documentation, and production deployment; support automation and AI use cases; mentor junior analysts and collaborate with engineering and operations stakeholders.

Lead design and maintenance of RCM dashboards and reports in Power BI, write/optimize Snowflake SQL, analyze payer/procedure-level leakage and denials, ensure billing data quality, deliver recurring and ad hoc analyses, present findings to leadership, document methodologies, and mentor junior analysts.

Own and maintain Power BI operational reporting; write and optimize complex SQL in Snowflake; partner with operations and clinical leaders to translate needs into actionable reports tied to EBITDA and volume; build repeatable data pipelines, monitor data quality, standardize metrics, deliver ad hoc analyses, and mentor junior analysts.

Provide advanced data analysis, design and maintain data models, pipelines, dashboards, and reporting for enterprise systems. Analyze large datasets for insights, ensure data quality and governance, support integrations and cloud platforms, troubleshoot data issues, mentor junior staff, and evaluate modern analytics tools in regulated federal environments requiring Public Trust.

Lead extraction, processing, analysis, and reporting of institutional data to produce actionable insights. Build reports and visualizations, collaborate with cross-functional partners and Data Engineering on ETL/pipelines, document data models and assets, conduct statistical and causal analyses, and communicate findings to stakeholders to drive decisions and improve data quality.

Run and distribute scheduled reports, perform basic SQL queries and Excel data cleanup/analysis, maintain reporting documentation, support ad hoc data requests, and provide general administrative and operational support including calls and shared inbox management.

The Business Analyst will gather requirements, analyze data, design BI reports using Power BI, and train users on new dashboards in a collaborative environment.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

The analyst will collaborate with teams to improve data quality and documentation for payments, wires, and lending processes in the financial group.

The analyst will implement data control structures, maintain governance frameworks, ensure data quality, support root cause analysis, and assist with reporting and documentation efforts.

The Data Product Analyst will own Signals data products, work with AI and Data Engineering, ensure data quality, conduct analyses, and shape product improvements through client feedback.

The Senior Analyst will manage reporting and dashboards for client accounts, using SQL and BI tools. They will ensure data integrity, engage with clients, and analyze media data for actionable insights.

The Senior Data Analyst will partner with teams to provide data analytics solutions, develop complex data models, and create visualizations to drive decision-making.

The Analyst will manage data and perform financial analysis on private equity and alternative assets, while providing feedback for the analytics platform.