Top Data Analyst Jobs

Lead analytics for DentalPlans.com to drive growth and operational improvements. Analyze acquisition, sales, engagement, retention, and billing data; build dashboards, forecasts, segmentation, and experiments; query data warehouse and product/CRM sources; produce actionable insights, advanced Excel models, and statistical analyses to inform marketing, product, contact center, and financial decisions.

Partner with teams to design reporting, automation, and AI-enabled solutions. Build Power BI dashboards and data models, prepare and validate data with Excel/SQL/Power Query, create low-code workflows (Power Automate), maintain SharePoint/Microsoft 365 solutions, and promote responsible use of AI to streamline processes and improve decision-making.

Lead delivery and scaling of commercial data governance: assess and triage data quality issues, operationalize governance standards, oversee controls and data confidence, lead complex workstreams, advise stakeholders on scalable solutions, and mentor analysts to standardize practices.

Customer-facing data lead responsible for monitoring and improving IoT data quality and system performance. Analyze real-time streams, identify anomalies, root-cause data issues, build dashboards and visualizations, translate insights for customers and engineers, and collaborate with product and field teams to drive resolution and deployment improvements.

Serve as the actuarial-focused business analyst and product owner in the Global Data Office. Translate actuarial requirements into data engineering specs, own roadmaps for actuarial data and tools, manage product backlog and agile ceremonies, and ensure data governance, quality, lineage, and stakeholder alignment.

Lead data governance for a major data platform project: define and enforce governance artifacts (access, metadata, quality, ownership), align SLAs and operational readiness, manage change and issues, enable stakeholders through training, and advise on report governance and compliance.

Work on web and mobile analytics for Chase, ensuring data collection integrity, defining feature measurement specs, documenting standards, resolving tagging defects, and collaborating with business and technical teams to improve digital customer experiences.

Define, design, and implement data quality management for Customer MDM. Analyze and integrate MDM processes with Sales, Marketing, Support, and Finance. Use Informatica MDM/IDQ, SQL, and Excel to cleanse, standardize, match, merge, and manage reference data.

Extract, clean, and analyze data from multiple sources, maintain ETL pipelines and data quality, build dashboards and reports, and partner with IT and business teams to deliver actionable insights.

Senior Data Reporting Analyst supporting Payment Integrity: mine and analyze operational and financial data, build reports and dashboards, document requirements, lead analytic testing and projects, advise business leaders, and drive analytic innovation to support evidence-based decisions.

Lead data analysis for application migration: consolidate and validate datasets, perform statistical analyses, build dashboards and reports (Tableau/Power BI/etc.), define KPIs/scorecards, present insights to stakeholders, and support pre/post-migration evaluation within Agile teams.

Support SAP Master Data Governance (MDG) initiatives focused on Material Master: gather and document requirements, assist backlog creation, design business processes, support and troubleshoot MDG applications and interfaces, collaborate with technical teams, develop and execute functional/regression/integration tests, and contribute to continuous process improvements.

Build, maintain, and operate ETL/ELT data pipelines for an enterprise data platform. Support deployment via IaC, monitor and troubleshoot pipelines, run data quality checks, document processes, and collaborate with senior engineers to test and deploy features in a mission-critical government environment.

Analyze CI/CD, project management, and log data to identify bottlenecks and automation opportunities; build dashboards (Tableau/Power BI); quantify automation impact; present findings and document analytical processes.

Perform healthcare data research, analysis, and reporting focused on Epic Tapestry and managed care measures (HEDIS, P4P, HCC/RAF, PMPM). Develop BI reports/dashboards, present insights to stakeholders, handle ad hoc requests, and obtain required Epic and data-model certifications.

Research, evaluate, and manage partnerships with data providers. Assess datasets for coverage and interoperability, support deal structuring, maintain partnership pipeline, and collaborate with product, engineering, and legal to integrate data into the platform.

Design and deliver Power BI, SAC, and Tableau dashboards and reports; analyze structured, semi-structured and unstructured data; build models and experiments to uncover insights; translate business needs into actionable visualizations; collaborate with IT, vendors, and commercial teams to scale reporting.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

The Data Entry Analyst will manage data within the SAP system, ensuring accuracy and confidentiality, while coordinating with stakeholders and providing reports.

Develop and maintain dashboards, reports, and visualizations; analyze business processes and performance metrics; gather stakeholder requirements; support data pipelines and ETL/ELT; validate data quality; contribute to cloud-based analytics modernization; document methods and present findings to technical and non-technical audiences.

The Data Insights Analyst II analyzes complex data sets to provide insights for strategic decisions, collaborates with teams for performance optimization, and communicates findings using visualization tools.

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 role involves data architecture, data analysis, governance, and quality management within SAP systems, requiring advanced technical and leadership skills.

Lead analytics for product or business domains by transforming data into actionable insights. Define and track KPIs, build dashboards and reports, perform EDA, cohort/funnel and A/B test analysis, validate data quality, partner with Product and Engineering, use AI tools to accelerate analysis, mentor junior analysts, and manage end-to-end analytical projects.

Lead core business analytics: build and maintain KPI dashboards, run statistical analyses and A/B tests, identify drivers of retention and revenue, support forecasting, partner with Product/Engineering to improve data quality, and use AI/scripting to automate analytics and surface insights for leadership.