Top Data & Analytics Jobs

Build and operate scalable Python-first ETL and ELT pipelines for genomic and operational data. Integrate LIMS, laboratory instruments, applications, and third-party sources while guiding architecture and engineering standards. Own data quality, lineage, observability, reproducibility, audit readiness, security, and regulatory compliance across hybrid and cloud environments. Work with SQL databases, workflow orchestration, containers, Kubernetes, AWS data services, distributed processing, streaming, bioinformatics workflows, and infrastructure as code.

Designs and supports enterprise data integrations, ETL/ELT pipelines, APIs, data models, and transformations across Microsoft platforms. Maintains data quality, governance, security, and reliability while developing CI/CD pipelines, deployment automation, and release processes. Troubleshoots integration and deployment issues, manages environments, supports reporting and analytics, and collaborates with technical and business stakeholders to deliver scalable data solutions.

Administers and optimizes the HRIS, including configuration, upgrades, integrations, troubleshooting, and data governance. Develops standard and ad hoc reports, KPI dashboards, regulatory reports, and employee survey outputs. Analyzes workforce data to identify trends, recommend improvements, and support strategic decisions. Partners with vendors and IT on system enhancements while ensuring data integrity, privacy, and operational efficiency.

Manages and prepares data from internal and external sources, validates data quality, performs descriptive, predictive, and prescriptive analysis, and documents methodologies and outcomes. Develops and maintains self-service reporting tools and dashboards, supports regular and ad hoc reporting, trains customers, and presents audience-appropriate findings. Identifies anomalies, investigates root causes, ensures reproducibility, and provides recommendations to support data-driven underwriting and actuarial decisions.

Leads legacy data migration into SaaS platforms by assessing sources, designing conversion strategies, executing ETL workflows, mapping and transforming data, validating integrity, and managing PII. Engages clients to gather requirements, document business processes, support governance and data quality, coordinate implementation teams, and develop reusable methodologies and training materials.

Leads Walmart category analytics for 30,000+ SKUs using Scintilla data. Develops performance reporting, dashboards, KPI frameworks, category and competitive analyses, and strategic recommendations covering pricing, assortment, share, productivity, and consumer trends. Manages data governance and item content, serves as the Scintilla subject matter expert, trains partners, and influences cross-functional business decisions through data storytelling.

Manages commercial reporting, analytics tools, and insights using syndicated, retailer POS, shopper card, and internal data. Delivers business performance analyses, visual selling stories, and actionable recommendations for sales, marketing, brand, and customer strategy teams. Oversees reporting accuracy, user training, data-provider relationships, technology integration, and visualization capabilities while supporting growth initiatives involving assortment, pricing, promotion, shelving, and innovation.

Build and maintain business intelligence reports, scorecards, dashboards, and digital solutions for global quality teams. Analyze data from databases, ERP and eQMS platforms, Excel, SharePoint, and other systems using SQL, Power Query, Power BI, and related tools. Identify trends, improve reporting processes, support data governance, standardize metrics, manage data projects, and communicate actionable insights to stakeholders and senior leadership.

Own enterprise data governance, metadata, lineage, data quality, master data, GxP readiness, cloud data-layer standards, commercial data controls, partner data exchanges, and AI data governance. Lead federated stewardship, executive scorecards, architecture reviews, access models, vendor data governance, and regulatory readiness across clinical, commercial, and corporate data. Partner with Security, Legal, Privacy, Compliance, and QA while building accountable business ownership and trustworthy, rapidly accessible data.

Build and maintain modern data-centric applications, pipelines, transformations, enrichment processes, provisioning layers, and user interfaces supporting clinical and operational healthcare processes. Analyze clinical data and report trends using cloud, big data, data science, and modern software development practices. Collaborate with Product, Platform, and Architecture teams, mentor Data Engineers, document solutions, manage source control, and research emerging technologies.