Top Senior Data & Analytics Jobs

Designs and operates data infrastructure for a clinical trial platform. Builds pipelines that extract, normalize, validate, and link information from clinical documents and publications into Aurora and GraphDB. Develops embeddings, vector search, RAG workflows, data-serving APIs, lineage tracking, and regulatory audit trails. The role also requires AWS-based orchestration, clinical data quality controls, biomedical knowledge graph modeling, and deployment automation using infrastructure-as-code and containerization.

Build and lead Greenlight Rent’s data foundations, including event models, ingestion, warehouses, transformations, APIs, services, and data products. Ensure data reliability, security, compliance, and correctness for financial reporting and business operations. Partner with product, finance, and operations to deliver measurable outcomes, make technical tradeoffs, establish engineering and data-quality standards, mentor engineers, and lead high-impact projects while remaining hands-on in production software development.

Collects, validates, and analyzes USAF aircraft maintenance data; identifies trends; develops predictive and mathematical models; creates visualizations; and communicates findings to stakeholders. The role uses JMP, MATLAB, Simio, Python, VBA, and Tableau, coordinates data-quality improvements with USAF organizations, conducts technical studies, and provides senior-level guidance to junior personnel supporting the KC-46 program.

Develops market intelligence and analytical solutions using data mining, modeling, forecasting, scenario planning, and visualization. Partners with marketing, sales, supply chain, strategy, finance, and commercial stakeholders to manage data logistics, build data tools, validate outputs, identify market opportunities, and communicate actionable recommendations. Manages multiple projects, presents insights to executive audiences, and supports strategic decision-making.

Own FINNY’s analytics warehouse, including dbt models, dimensional data structures, metric definitions, testing, documentation, identity resolution, BI reporting, and semantic-layer strategy. Partner with business teams to translate questions into trusted models and reports, improve AI access to company metrics, and establish software engineering practices for analytics. As the first analytics engineer, help build and eventually lead the data team.

Develop and execute quantitative analytics and statistical modeling projects supporting fair lending activities. Build and test credit risk models for mortgage and financial products, implement models in software, conduct back-testing, stress testing, and performance monitoring, and document methodologies for regulatory model oversight. Provide technical support to business areas, independently resolve complex issues, and communicate analytical findings clearly.

Analyze structured and unstructured data to identify trends, develop dashboards and reports, establish KPIs, and provide actionable recommendations to leadership. The role owns complex analytics deliverables, supports forecasting and process improvement, communicates insights to stakeholders, responds to ad hoc reporting needs, and leads small projects and initiatives.

Maintains the ADEA Data Portal and research data platform, including dashboards, datasets, documentation, functionality, privacy, and security. Collects, cleans, validates, analyzes, and reports dental education data using surveys, administrative sources, scraping, and databases. Develops spreadsheet and interactive visual reports, supports members and vendors, contributes to automation and algorithms, and ensures data integrity and regulatory compliance.

Lead pricing strategy and origination risk analytics to optimize loan pricing, forecasting, and approval frameworks. Manage and mentor analysts, build quantitative models, integrate third-party data, run experiments, and present recommendations to senior leadership to drive growth and profitability.

Develop and maintain Tableau dashboards, SSRS reports, SQL Server databases, and SSIS or Talend ETL solutions. Write and optimize complex T-SQL queries, stored procedures, and database scripts. Support data migration, integration, validation, reconciliation, and quality initiatives. Manage ETL deployments, environment variables, SQL Server Agent jobs, and version control. Collaborate with business analysts and system integrators throughout requirements, design, testing, deployment, and production support.