Top Data & Analytics Jobs

The Senior Analyst in Risk Management will support data governance by ensuring data accuracy and consistency and aiding investment committee processes. Responsibilities include coordinating timelines, analyzing data, and maintaining governance artifacts.

Define and improve data quality processes, analyze data issues, collaborate with stakeholders to document requirements, monitor data quality metrics, and support remediation efforts to ensure accurate, reliable data.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Serve as an analytics partner to business units to define problems, scope projects, perform in-depth analysis, and deliver actionable insights. Lead technical execution with data engineers/scientists, build dashboards in Looker, apply statistical methods and A/B testing, and drive data literacy and process improvements across the company.

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.

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.

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.

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.

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 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.

Analyze and report on inclusion, diversity, equity, and engagement data. Provide insights to support IDE&E programs, and prepare presentations for executive leadership.