Top Data & Analytics Jobs

The Data Governance Analyst administers data governance platforms and processes, including enterprise data catalogs, Databricks Unity Catalog, metadata, lineage, data stewardship, MDM, privacy compliance, and data quality initiatives. The role leads catalog roadmaps, supports Osano, coordinates with data owners and engineering teams, monitors governance adoption and metrics, and develops scalable governance standards and procedures.

Leads healthcare data analysis, reporting, dashboard development, forecasting, and data-quality processes. Analyzes claims, utilization, cost, pharmacy, and financial data to identify trends and support cost-containment and business decisions. Develops SQL database objects, translates stakeholder requirements, supports regulatory reporting, improves analytics workflows, and manages projects. Provides mentoring, peer review, documentation, and cross-functional guidance.

Supports data integrity and compliance reporting across Yardi and HUD systems. Responsibilities include validating databases, correcting PIC and EIV errors, generating reports, tracking fraud and over-income households, coordinating user access and training, developing trend analyses, and supporting project requirements and performance reviews. The role collaborates with internal departments, vendors, and external stakeholders to maintain accurate, compliant housing program data.

Develops and manages dashboards, reports, data models, semantic layers, and analytics solutions for Sales, Marketing, and Distributor Development. Translates business needs into actionable insights, ensures data quality, supports self-service analytics, and provides user training and support. The role also owns customer classification, performs ad hoc analysis, contributes to enterprise Business Intelligence initiatives, and improves reporting processes.

The Senior Data Analyst develops advanced SQL analyses, maintains Tableau and Hex dashboards, validates warehouse metrics, and translates data into actionable recommendations for executives, funders, government audiences, and community partners. The role emphasizes data storytelling, reporting standards, secure PII-aware delivery, stakeholder collaboration, and business impact evaluation. It also offers growth into AI-assisted analytics, custom visualization, and data-to-report automation.

Analyzes, cleans, mines, and validates large datasets to support business decisions and process improvements. Develops SQL-based data solutions, dashboards, reports, data visualizations, and testing workflows. Troubleshoots data issues, monitors business controls, documents changes, and communicates findings to stakeholders. Supports projects, ad hoc analysis, compliance processes, and dashboard maintenance using SQL Server and tools such as Power BI, Tableau, or Qlik.

Analyze healthcare and clinical operations data to deliver actionable customer insights, physician performance reporting, care-quality dashboards, and scalable BI solutions. The role requires SQL-based data transformation, dashboard development, collaboration with clinical, product, engineering, and client-facing teams, and clear communication of findings. The analyst will also use AI tools for query generation, data cleaning, pattern recognition, and analytical summaries.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Leads national pharmaceutical prescription and sales data operations, stewardship, governance, quality management, reporting, repository maintenance, UAT, and validation. Coordinates vendors, offshore support teams, Finance, analytics, governance, and business stakeholders. Maintains data glossaries, quality checks, report inventories, KPI reporting, and cross-functional workstreams while resolving discrepancies and supporting automation and executive reporting.

Build network capacity and demand forecasts across 50 states, support clinician recruitment and retention analytics, measure clinical and scheduling outcomes, and design experiments with Product and Engineering. Develop governed data models, KPI definitions, and AI-powered analytics infrastructure. Serve as the primary analytics partner for Network leadership by translating complex, multi-source data into actionable recommendations and presenting insights to technical and executive audiences.

Own the measurement framework for a marketplace product, including KPIs, dashboards, instrumentation, reporting, experimentation, statistical modeling, forecasting, and opportunity sizing. Analyze product engagement, conversion funnels, feature performance, and NPS drivers. Partner with Product, Marketing, Sales, and data teams to deliver actionable insights, improve analytics capabilities, and influence commercial and product decisions.

Supports enterprise data and analytics initiatives by gathering requirements, writing user stories, managing Jira backlogs, documenting workflows and data mappings, validating data with SQL, and assisting with Power BI reports and DAX measures. Participates in Agile ceremonies, UAT, process improvement, sprint planning, and client stakeholder engagement while helping deliver data-driven solutions across consulting engagements.

Performs independent quality assurance and validation across enterprise data platforms, workflows, reports, and regulatory data. Develops testing strategies, test cases, automation frameworks, regression plans, and quality metrics. Investigates incidents, performs root cause analysis, validates ETL/ELT pipelines and business processes, and supports governance, compliance, audits, and release readiness. Partners with engineering, business, product, risk, and compliance teams while mentoring junior analysts and improving enterprise data quality.

Leads paid media analytics by integrating data from advertising platforms, building scalable data models and automated dashboards, maintaining tracking and attribution systems, and developing performance benchmarks. Partners with Paid Media, Marketing, Product, Engineering, and Data teams to evaluate campaigns, optimize budgets and targeting, conduct tests, and deliver actionable recommendations related to ticket sales, event awareness, and customer acquisition.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

Leads discovery and requirements gathering for enterprise data solutions, translating business needs into user stories, acceptance criteria, source-to-target specifications, and data workflows. Partners with engineering, architecture, governance, analytics, and business teams throughout delivery. Coordinates validation, reconciliation, testing, defect resolution, and stakeholder approvals while managing risks and dependencies. Documents data lineage, integrations, quality expectations, and reporting needs, and mentors analysts and cross-functional partners.

Analyze customer journeys, churn, acquisition, activation, retention, attribution, experimentation, and conversion. Develop advanced models and actionable strategy recommendations for B2C Marketing. Partner with stakeholders and data engineering to define metrics, improve data quality and governance, and build scalable dashboards using modern analytics and visualization tools. Independently manage multiple complex projects and identify opportunities that support business objectives.

Analyzes structured and unstructured data to identify and resolve quality issues, develop data quality standards, create automated reports and dashboards, and support CMS fraud, waste, and abuse initiatives. The role performs statistical analysis, collaborates with data and reporting teams, presents findings to stakeholders, participates in Agile ceremonies, mentors junior analysts, and provides technical leadership across data quality projects.

Provides senior-level data analysis, compliance reporting, qualitative and quantitative research, business intelligence, dashboards, and program measurement for the Personal Financial Counselor financial disclosure and conflict-of-interest program. Tracks certification, readiness, onboarding, and workforce metrics; identifies trends and risks; develops executive reports and actionable recommendations; supports audit readiness, process improvement, and cross-functional program decision-making.

Supports Power BI reporting, ETL, data validation, automation, KPI monitoring, data modeling, forecasting, API integrations, and EDW data ingestion for supply chain analytics. Partners with site personnel to gather requirements, provide training, resolve data quality issues, and improve reporting usability and consistency across locations.

The Senior Data Analyst develops data models, dashboards, reports, and visualizations to support behavioral health programs and organizational decisions. The role extracts, cleans, transforms, and analyzes complex datasets using tools such as SQL, Python, and R; identifies trends; communicates findings to technical and non-technical stakeholders; ensures data integrity and confidentiality; and mentors junior analysts. The position handles protected health information and supports compliance with HIPAA and 42 CFR Part 2.

Develop scalable analytics assets and serve as the Power BI/Microsoft Fabric expert. Build and publish trusted datasets, semantic models, and dashboards; author Databricks workflows and production SQL; apply R for statistical analysis; ensure governance, versioning, and reproducibility; partner with stakeholders and Data Engineering to deliver high-impact insights, define KPIs, and communicate executive-ready recommendations.

Develops scalable analytics products and workflows using Databricks, SQL, R, Power BI, and related tools. Partners with finance and revenue cycle stakeholders, builds KPIs and self-service reporting, analyzes complex datasets, validates results, and presents actionable recommendations to executives. The role requires production-level SQL, statistical and financial analysis, reproducible Git-based workflows, BI development, stakeholder leadership, and measurable business impact.

Performs cost, affordability, schedule, and data analysis for government acquisition programs. Responsibilities include cleansing and normalizing data, developing predictive models and trend analyses, estimating program costs, forecasting funding needs, evaluating investment strategies, conducting BCAs, AoAs, EAs, and market research, and presenting findings to senior leaders. The role requires collaboration with government, military, engineering, logistics, and financial stakeholders while supporting defense and homeland security acquisition processes.

Leads retrospective analysis of wearable sensor and physiological data, developing analysis tools, metadata systems, visualizations, statistical models, and machine learning workflows. Investigates data anomalies across hardware-to-cloud systems, curates large heterogeneous datasets, defines analytical requirements, and translates complex data into products and reports for technical, executive, and end-user audiences. Collaborates with engineering, product, and business stakeholders while establishing analytical standards and tooling.