Top Data Analyst Jobs

Provide data analysis and BI support within a data warehouse team: design data structures, develop systems and interfaces, write SQL and Cognos reports/dashboards, validate and document data, and support customers through troubleshooting, requirements gathering, and problem resolution.

The Senior Data Analyst will evaluate gaming machine performance, develop reports and dashboards, and provide actionable insights through data analysis.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.

Extract, transform, and report EHR data by writing complex SQL queries, building reusable reports and dashboards (Excel, Crystal, Cognos), automating ETL and scripts, supporting end users, and monitoring clinical quality measures (NCQA/HEDIS).

Lead data governance and data quality efforts: analyze data issues, identify root causes, support governance adoption, monitor controls, manage initiatives, advise business stakeholders, and recommend process improvements to strengthen data confidence across commercial processes and reporting.

Partner with product teams to define success metrics, design and analyze A/B tests, build funnel and behavioral analyses, own event tracking specs, and translate results into product recommendations and documentation.

Support the US Attorney's Office by gathering, analyzing, reconciling, and entering case information from multiple sources; maintain physical files and case status, prepare documents and reports, perform word processing, coordinate information requests, and provide timely status updates.

Collect, reconcile, and analyze information from multiple sources; perform accurate data entry and word processing; maintain case files; track case status and deadlines; prepare reports, summaries, and responses; coordinate information requests; provide timely status updates and support USAO asset forfeiture work.

Design, build, and maintain Databricks-based data platform and ETL/ELT pipelines. Collaborate with stakeholders, implement data quality checks and testing, monitor pipeline performance, document architecture, and coordinate cross-functional teams.

Hands-on business and delivery analyst who translates stakeholder needs into data integration solutions. Leads current/future-state and gap analysis, requirements, mapping, migration, testing, and delivery coordination. Partners with Operations, Finance, Compliance, and Purchasing to streamline workflows, promote data-driven decisions, and support adoption of analytics and cloud-based tools to improve operational outcomes.

Design, enhance, and sustain HR reporting, dashboards, and analytics products. Build scalable data pipelines, automate workflows, improve data quality and governance, and operationalize multi-source HR data (including Prism). Provide senior technical support, mentor analysts, and partner cross-functionally to deliver governed, actionable HR data solutions.

Provide onsite data and records management support for a federal program: maintain datasets and SharePoint records, track applications and field visits, prepare reports and meeting summaries, perform quality assurance and NARA-compliant records management, and support program tracking, document development, and administrative tasks.

No role responsibilities or qualifications were provided. The posting contains an employer overview and recruitment disclaimer only; specific job duties are not listed.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Lead quantitative analyses of loan originations and portfolio performance to identify credit risks and improvement opportunities. Build multivariate/predictive models, conduct diagnostic and funnel analyses, measure costs/benefits, design monitoring and controls, present recommendations to VP-level stakeholders, and drive hands-on implementation using SQL, Python, Excel, AI tools, and financial modeling.

Serve as an Enterprise Data Management subject matter expert: coordinate EDM customer communications, monitor system update logs, participate in regression testing, define processes, collect metadata, produce documentation, and ensure deliverables meet standards.

Lead healthcare analytics work using claims and product data: calculate PMPM and utilization metrics, validate data refreshes, design data models and algorithms, build Looker dashboards, and document/train stakeholders. Serve as a healthcare data SME collaborating with clinical, operations, and finance teams.

Design and maintain company-wide dashboards, define KPI frameworks, implement tracking and data governance, write advanced SQL, partner with product and engineering, build predictive/AI-ready data layers, automate reporting, and present insights to leadership to drive operational and financial improvements.

Perform high-volume data entry and document classification for investment funds, file and process emails using a filing system, analyze vendor feeds, manually price instruments, establish fund mappings, validate data quality, and support ad-hoc data requests and lookup inquiries.

Senior Data Quality Analyst responsible for source-to-target testing, SQL-based data analysis, running Informatica workflows, validating ETL results, owning QA/test issues, and collaborating with technical teams to ensure data accuracy and integrity.

Lead data quality and reporting for complaints and servicing systems: cleanse and validate data, build reports and dashboards, perform advanced statistical analyses, automate data extraction, maintain databases, and collaborate with stakeholders to surface actionable insights and process improvements.

The Data Operations Analyst manages data integrity and operations, supports data conversion for mergers and acquisitions, and documents policies and processes.

The role involves interpreting, validating, and structuring private equity investment data, collaborating with teams, and communicating with investment managers, while improving internal processes and data standards.

The Senior Data Analyst will develop advanced Power BI dashboards, perform complex analyses using SQL and Python, mentor junior analysts, and ensure data quality governance.

The Senior Data Analyst will own analytics projects, design data models, build dashboards, and deliver insights using SQL and various BI tools.