Top Data & Analytics Jobs

Leads advanced analytics strategy, complex data analysis, business intelligence solutions, data warehouses, dashboards, and end-to-end data pipelines. Partners with cross-functional stakeholders to identify business opportunities, improve processes and data quality, develop metrics, guide implementation, and drive self-service analytics adoption. Oversees software validation, project improvement activities, training, mentorship, and strategic problem-solving while influencing stakeholders and managing large data projects.

Serves as the data readiness and analytics subject matter expert for AI productivity initiatives. Assesses data quality, governance, security, metadata, taxonomy, and knowledge repositories; develops dashboards, KPI reports, and analytics products; supports AI data preparation, lifecycle governance, adoption measurement, and ROI reporting; and partners with operational teams to identify automation, reporting, and process improvement opportunities.

Provides analytical support for clinical, operational, and research data. Responsibilities include database maintenance, data collection and auditing, statistical analysis, clinical outcomes reporting, regulatory reporting, data mining, algorithm development, workflow and pipeline creation, quality control, and troubleshooting. Collaborates with physicians, clinical staff, management, and technology teams while ensuring HIPAA compliance and accurate data processes.

Own marketing analytics and measurement to improve acquisition, campaign performance, and marketing ROI. Lead multi-touch attribution, marketing mix modeling, A/B testing, incrementality studies, and KPI analysis. Partner with Marketing and Product to improve data quality, translate complex findings into recommendations, influence senior stakeholders, and coach peers on analytics practices.

Own customer experience and delivery metrics, dashboards, and reporting across Support, Professional Services, Customer Success, and Renewals. Analyze customer, operational, usage, and financial data to identify risks, trends, bottlenecks, and renewal threats. Partner with leaders to define KPIs, translate business questions into recommendations, validate data quality, automate reporting, and build self-service analytics. Collaborate with AI teams to measure the impact of AI-driven tools.

Analyze survey and secondary data using statistical and multivariate techniques. Clean, structure, code, and summarize datasets; use SPSS, R, Excel, Python, and VBA to conduct analyses and automate procedures. Prepare Excel outputs and PowerPoint presentations, explain findings to internal and external clients, support analytic planning, and ensure accurate, timely delivery of market research work.

Performs data analysis, profiling, reconciliation, and validation using SQL and Databricks while leading user acceptance testing. Develops UAT plans, test cases, acceptance criteria, traceability matrices, defect logs, and results reports. Validates data quality, dashboards, workflows, usability, accessibility, and system readiness. Collaborates with business, product, engineering, QA, UX, and client stakeholders in Agile delivery environments, documenting findings and translating feedback into actionable improvements.

Analyzes business performance and delivers actionable insights through SQL, dashboards, reports, and visualizations. Partners with business, engineering, and architecture teams to gather requirements, improve data quality, support governance, define metrics, and advance enterprise data modernization. The role also performs validation, reconciliation, root-cause analysis, stakeholder presentations, reporting automation, documentation, and analytics training to strengthen trusted, self-service decision-making.

Performs data analysis, quality validation, and BI development across ECRI’s MDM, content, and enterprise data platforms. Supports Semarchy MDM operations, ETL scripting, data stewardship, integration troubleshooting, Contentful analytics, Power BI reporting, DAX modeling, BigQuery validation, SQL data models, and automated testing. Collaborates with stakeholders on governance, migrations, reporting, and analytical datasets while improving data processes and documentation.

Modernize recurring business reporting using AI tools, Excel, and BI platforms. Build automated reports, dashboards, trackers, and reconciliation workflows; analyze revenue, commissions, KPIs, and operational data for anomalies and risks; validate data from multiple systems; communicate actionable insights to stakeholders; coordinate submissions; support audits; and improve reporting efficiency, accuracy, and repeatability.