Top Senior Data & Analytics Jobs

Own and evolve the Azure-based data platform for a large-scale telematics SaaS platform. Build high-throughput IoT ingestion, transformation, enrichment, storage, and analytics pipelines using Cosmos DB, Azure Data Explorer, Azure SQL, Fabric, Event Hubs, and Functions. Design scalable telemetry and multi-tenant data models, ensure pipeline reliability and observability, optimize costs and performance, implement governance and CI/CD, and collaborate with engineering, architecture, product, and leadership teams.

Leads data engineering, advanced analytics, and AI initiatives supporting engineering productivity and customer value. Translates engineering, manufacturing, and customer requirements into data tools, analytic workflows, visualizations, APIs, and scalable AI solutions. Oversees data monitoring, predictive and prescriptive analytics, agentic workflows, stakeholder engagement, agile delivery, and cross-functional projects while leading a small team and promoting documentation and knowledge sharing.

Develop and maintain data pipelines, datasets, dashboards, paginated reports, PowerApps solutions, Power Automate workflows, and Databricks data engineering processes. Translate ambiguous business needs into scalable analytics solutions, write complex SQL, support reporting and data modernization, and contribute to AI/ML initiatives. Collaborate with technical and non-technical stakeholders while delivering actionable insights and automated workflows.

Design and govern the future-state enterprise data platform for the Medical Stop Loss business using Microsoft Fabric and Azure. Responsibilities include data architecture, dimensional and physical modeling, ingestion and integration patterns, data governance, quality, security, lineage, semantic models, and analytics enablement. The role guides data engineering and BI teams, modernizes legacy platforms, supports cloud migrations, and collaborates with business and technology stakeholders across regulated insurance operations.

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.

Lead a 40-person data engineering organization at Slack, transforming its data platform for AI agents, real-time analytics, semantic data access, and data products. Own the engineering roadmap across infrastructure, ingestion, governance, tooling, and metrics layers. Establish reliability, freshness, and cost standards; partner with Data Science, Product, Infrastructure, and DevXP leaders; and hire and develop engineering managers and senior engineers. Drive MCP-based data access, AI-native observability, streaming infrastructure, and agentic analytics capabilities.

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.