Top Senior Data & Analytics Jobs

Develop and maintain databases, data sources, analytical tools, and data models supporting actuarial, finance, underwriting, and medical economics teams. Build well-documented code, analyze detailed healthcare datasets, communicate findings to technical and business stakeholders, and deliver solutions across Commercial, Medicare, and related domains.

Serves as a trusted analytics advisor to leadership by investigating complex business, operational, and data challenges. Conducts research, root cause analysis, experimentation, and data exploration to identify risks, trends, and opportunities. Evaluates analytical methods and emerging technologies, partners with cross-functional stakeholders, and delivers actionable recommendations. Provides subject matter expertise and supports strategic initiatives in ambiguous, data-intensive environments.

Own client reporting strategy and execution, including report design, data ingestion, technical troubleshooting, data quality, and issue resolution. Translate client and business requirements into reporting solutions, manage backlogs using Agile methodologies, monitor data integrity, and oversee implementation. Partner with executives, clients, and operations teams while communicating progress and recommendations. The role requires SQL, data governance, stakeholder management, reporting tools, cloud data platforms, and healthcare data experience.

Business Systems Analyst supporting a data management program. Acts as a liaison between business and technical teams, develops complex SQL, source-to-target mappings, requirements, user stories, technical specifications, data analyses, testing plans, reconciliations, and user acceptance testing. The role also supports data quality, governance, dashboards, documentation, training, and concurrent projects.

Conduct requirements elicitation, documentation, business process analysis, and SDLC support for web application projects. Participate in Scrum meetings, represent business needs, create and execute system test plans, perform manual web application testing, document defects, and support User Acceptance Testing. The role requires extensive business and systems analysis experience, strong written and verbal communication, and onsite work four days per week in Richmond, Virginia.

Own email marketing analytics across campaigns, audiences, segments, and lifecycle programs. Investigate engagement, fatigue, conversion, and testing results; build dashboards and reports; validate data accuracy; resolve tracking issues; and translate findings into recommendations. Present insights to clients, guide measurement strategies, establish reporting standards, and collaborate with email, technical, and client teams.

Build customer-facing data products for the single-family rental market. Responsibilities include architecting real estate data models, designing reliable data pipelines and workflows, shaping data platform architecture, establishing engineering standards, and developing real estate domain expertise. The role partners with data science and product teams and requires leadership in scalable data engineering.

Design, build, optimize, and maintain scalable batch and real-time data pipelines, data models, schemas, and storage systems. Ensure data quality, reliability, performance, and secure delivery across platforms. Collaborate with data scientists and analysts, troubleshoot data systems, evaluate emerging technologies, and mentor junior engineers. The role is onsite in a SCIF supporting STRATCOM and requires Top Secret/SCI clearance.

Designs and implements scalable data pipelines, cloud data platforms, storage solutions, and analytics infrastructure. The role focuses on Snowflake and AWS architecture, migrating legacy systems to cloud environments, developing Python and SQL data-processing logic, orchestrating workflows, and implementing Infrastructure-as-Code and CI/CD. The engineer also contributes to data governance, quality, observability, stakeholder communication, mentoring, and technical leadership.

Leads institutional research and data operations, analyzing university data, creating executive reports and visualizations, managing databases and archival information systems, and ensuring state and federal reporting compliance. Supervises staff, oversees department hiring and development, manages budgets, supports data-driven decision-making, documents reporting processes, and develops technology enhancements. The role requires advanced SQL and WebFOCUS querying, statistical analysis, data visualization, confidentiality, and collaboration with university stakeholders.

Conduct independent cost analysis and develop lifecycle cost estimates for Army acquisition programs. Forecast future system and program costs, create methodologies and models, advise on budgets and resource allocation, analyze Earned Value Management reports, and prepare executive briefings and milestone-review documentation. The role requires ACE-IT modeling, Army acquisition knowledge, strong communication, independent judgment, and an active Secret clearance in Huntsville, Alabama.

Build, deploy, and support scalable data pipelines and curated data products on Azure Databricks. Integrate enterprise data sources using batch and streaming patterns, transform data with SQL and Python/PySpark, and implement Delta Lake, dimensional modeling, governance, monitoring, testing, and CI/CD. Collaborate with technical and business stakeholders to deliver reliable, documented data products for analytics, reporting, and AI use cases while improving platform performance, security, quality, and cost efficiency.

Analyzes complex data to identify fraud trends and develops, tests, implements, and optimizes fraud rule strategies for new account originations. Evaluates rule performance, thresholds, segmentation, and treatment strategies; conducts champion/challenger testing; and delivers actionable recommendations. Collaborates with operations, technology, risk management, and compliance teams to improve fraud detection while balancing mitigation, customer experience, false positives, and operational efficiency.

The Business Intelligence Analyst acquires, integrates, transforms, and analyzes complex datasets to deliver insights, dashboards, reports, metrics, and recommendations. The role uses SQL, Power BI, and cloud analytics platforms to support business decisions, monitors outcomes, ensures data governance compliance, and communicates findings to technical and non-technical stakeholders. The analyst partners across business and technology teams to solve problems and improve reporting capabilities.