Top Senior Data & Analytics Jobs

Produces complex reports and business intelligence from multiple data sources, analyzing network utilization, cost containment, and operational information. Performs forecasting, modeling, regression, data mining, and quality evaluation. Defines deliverables, coordinates resources, liaises with IT and vendors, manages project plans, presents findings, recommends improvements, and mentors junior analysts.

Serve as the primary business intelligence and analytics partner for Governance, Risk & Assurance and the General Counsel Strategy Office. Analyze complex datasets, build dashboards and data models, support data governance and risk initiatives, identify automation and AI opportunities, and translate technical findings into business recommendations. Collaborate across enterprise functions, provide reporting and technology guidance, evaluate AI solutions, and drive adoption of data-informed practices.

Maintains data governance and quality across mission systems by validating sources, managing metadata and data dictionaries, reconciling metrics, performing profiling and cleansing, documenting lineage, and supporting cross-system harmonization. The analyst collaborates with reporting teams, dashboard developers, data owners, and PMO leadership to ensure accurate, standardized, compliant enterprise reporting.

Own product, content, subscription, and growth analytics for adult product lines. Analyze conversion, retention, churn, cohorts, and LTV; maintain reporting; create measurement plans; support experimentation; and deliver recommendations to Product, Engineering, Content, and Design. Use SQL, visualization tools, statistical methods, and AI-assisted workflows while validating results and documenting work.

Build and operate PharmaLink’s enterprise Databricks data, analytics, and AI platform. Develop scalable ETL/ELT pipelines, lakehouse architectures, curated data products, dashboards, AI applications, governance capabilities, and data-quality monitoring. Optimize Spark, SQL, pipeline performance, and costs while establishing standards for CI/CD, testing, observability, and production support. The role also requires troubleshooting complex data issues and partnering with governance, BI, application, and business teams.

Design and build scalable data infrastructure, including lakehouse architecture, ClickHouse deployments, ETL/ELT pipelines, and data models connecting Postgres with analytics systems. Establish data quality, observability, performance, cost, and reliability standards. Collaborate with product and engineering teams, define data contracts and specifications, support real-time analytics, and use AI-assisted coding and LLMs to accelerate pipeline development and transformation.

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.

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.

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.