Top Data & Analytics Jobs

Serves as a senior analytical resource translating business needs into scalable data, reporting, and dashboard solutions. Designs reusable analytical datasets and data marts, applies advanced SQL, improves data quality and governance, and develops performance reporting. Partners with stakeholders and technology teams, provides technical leadership and coaching to analysts, supports code reviews, and strengthens analytics standards, usability, and scalability.

Analyze healthcare claims, authorization, and related data to identify trends and opportunities. Develop dashboards, visualizations, analyses, and presentations supporting operational, clinical, and financial decisions. Collaborate with stakeholders, data and engineering teams to define requirements, improve data quality, and deliver actionable recommendations across multiple analytical projects.

Analyzes Occupational Safety and Health data to validate accuracy, identify trends and emerging risks, and detect reporting gaps. Develops dashboards, charts, written analyses, and leadership briefings; prepares monthly trend reports and performance reviews. Supports data-quality improvements, reporting workflows, troubleshooting, documentation, and customer requests while communicating findings and recommendations to program managers and senior leaders.

Analyze Occupational Safety and Health data to validate quality, identify trends and emerging risks, and evaluate reporting gaps. Develop dashboards, charts, written analyses, and leadership briefings; prepare monthly trend reports and performance comparisons. Recommend improvements to data collection and reporting processes, troubleshoot discrepancies, maintain documentation, and provide analytical and customer support to government personnel and safety leaders.

Analyze Occupational Safety and Health data to validate quality, identify trends and emerging risks, develop dashboards and reports, prepare leadership briefings, recommend process improvements, troubleshoot data issues, and provide analytical and customer support to the Pearl Harbor Naval Shipyard safety office.

Clean, structure, and analyze primary market research data using statistical tools; produce client-facing cross-tabulations; perform survey and data quality assurance; maintain databases and data systems; and improve processes while collaborating with research, marketing sciences, and publishing teams.

Lead marketing analytics initiatives using statistical modeling, predictive analytics, experimentation, and campaign optimization to improve ROI. Translate business needs into analytical frameworks, assess scenarios, develop optimization roadmaps, and influence senior stakeholders. Collaborate with Marketing, Sales, MarTech, Data Science, and Engineering teams while communicating complex insights to technical and non-technical audiences.

Designs and manages workforce surveys, facilitates focus groups, cleans and analyzes qualitative and quantitative data, and develops dashboards, visualizations, and executive presentations. Partners with stakeholders to identify trends, measure organizational effectiveness, and provide actionable workforce insights. Uses relational databases, visualization tools, and large language models to support longitudinal analysis and open-ended response analysis for Intelligence Community customers.

Performs business data analysis, stakeholder requirements elicitation, SQL-based data discovery and profiling, data mapping, root cause analysis, and reporting solution development. Serves as a liaison between business and IT teams, advises stakeholders, mentors Business Data Analysts, supports data quality improvements, and drives best practices in an Agile environment.

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.

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.

Owns global workforce dashboards, reporting products, analytical data models, and executive-ready insights. Integrates HR, finance, IT, recruiting, payroll, and engagement data to analyze workforce trends, retention, costs, performance, and organizational health. Partners with cross-functional stakeholders to define metrics, improve data quality and governance, automate reporting, and translate complex findings into actionable business recommendations while protecting confidential employee information.

Leads operational resilience data quality, analytics, dashboards, reporting, workflow improvements, system-of-record maturity, and tool requirements. Develops risk, readiness, exercise, corrective-action, and program-maturity insights; validates data integrity; translates governance and operational requirements into workflows and reporting; coordinates with IT and vendors; supports system implementation and enhancement prioritization; and produces leadership-ready reports and evidence packages for incidents, exercises, audits, and activations.

Analyze customer behavior and business performance to identify strategic opportunities across acquisition, activation, retention, and reactivation. Define measurement strategies, conduct diagnostics, correlations, and hypothesis testing, and transform complex datasets into actionable insights. Create reports, dashboards, visualizations, and presentations that clearly communicate recommendations and support data-driven decisions across the business.

Conduct data profiling to assess completeness, accuracy, and consistency; document data quality findings and prepare reports. Use Microsoft Purview to register data assets, maintain catalogs, and support governance processes. Collaborate with business teams to define business terms, data rules, and glossary content. Support data standardization and cleanup activities. Manage small data informatics projects, deliver training, follow standards, and provide feedback to junior team members.

Analyze large datasets using SQL and Python, build dashboards and recurring reports, identify trends and data-quality issues, and translate ambiguous business questions into actionable insights. The role partners with product, customer success, and engineering teams, documents metrics and methodologies, and presents findings to technical and non-technical stakeholders. Healthcare data, supply chain analytics, modern analytics engineering, and BI visualization experience are advantageous.

Analyze marketplace data to answer stakeholder questions, build dashboards and reports in Hex, write daily SQL, and contribute to dbt models. The analyst will proactively surface insights, present findings, and support Product, Operations, Marketing, and Finance decisions while developing skills in analytics, data transformations, stakeholder communication, and business understanding.

Analyze, clean, and validate data from multiple sources; build reports, dashboards, and visualizations; identify trends and opportunities; track KPIs; investigate discrepancies; document analytical processes; and communicate actionable insights to cross-functional business and product stakeholders.

Analyzes and manages education data; develops reports, dashboards, documentation, and data visualizations; conducts audits and quality control; supports state and federal reporting; provides technical assistance to stakeholders; coordinates data requests; collaborates with IT on system integration, requirements, and testing; and contributes to research and evaluation initiatives.

Supports business intelligence and data activities for the Individual division. Responsibilities include integrating data and reporting solutions, producing and analyzing extracts and reports, contributing to dashboards, documenting technical requirements, and helping develop workflows and automation. The intern collaborates with business stakeholders, analysts, architects, application owners, and clients while learning new tools and best practices.