Top Data & Analytics Jobs

Leads the Analytics Systems Team of 6–10 engineers, overseeing team development, engineering quality, project delivery, product direction, roadmap prioritization, and strategic analytics infrastructure. The role guides development of data pipelines, analytics tooling, feature stores, and foundation-model integrations supporting clinical trials, diagnostics, biomarker discovery, and regulated Life Sciences workflows.

Collects, cleans, integrates, and analyzes business data; develops Power BI dashboards, reports, models, pipelines, and data quality controls. Translates business needs into analytical solutions, identifies trends and recommendations, validates results, supports migrations and modernization, and explores AI and machine learning use cases. Partners with technical and nontechnical stakeholders while documenting data lineage, assumptions, governance, privacy, and responsible AI practices.

Leads and builds Instructure’s decision science function, including hiring, team development, roadmap ownership, experimentation, causal and predictive modeling, executive insights, and data literacy. Partners with product, engineering, marketing, finance, and executives to guide product, pricing, retention, go-to-market, and operational decisions. Establishes analytical standards, supports data infrastructure, and ensures ethical, privacy-conscious use of student data.

Designs and builds scalable data platforms and pipelines for scientific, clinical, manufacturing, and process-engineering data. Responsibilities include developing batch and streaming ETL/ELT systems, integrating Databricks, Snowflake, cloud platforms, MES, SCADA, and laboratory systems, and enforcing governance and GxP compliance. The role provides hands-on technical leadership, establishes data engineering standards, and collaborates with scientists, process engineers, and platform teams. It requires three days onsite weekly in Indianapolis and unrestricted U.S. work authorization.

Own the company’s data platform architecture, reliability, governance, and roadmap. Lead a team while remaining hands-on with complex designs and queries. Drive tooling decisions, data modeling, orchestration, observability, identity resolution, canonical data models, and AI-ready data foundations. Ensure data freshness, correctness, lineage, access control, PII handling, and auditability while partnering with engineering, marketing, sales, and legal operations.

Prepares, reviews, validates, and completes client data packages and electronic data deliverables from laboratory testing. Processes deliverables according to client specifications, corrects routine errors, verifies software output, troubleshoots nonconformances, maintains records, meets deadlines, and identifies workflow and data-quality improvements. The role is primarily administrative and office-based, with occasional laboratory exposure.

Designs, develops, maintains, and enhances business intelligence solutions using multiple data sources. Builds Power BI dashboards, visualizations, reports, and scorecards with DAX; optimizes reporting performance; gathers requirements; resolves technical issues; documents BI standards; estimates and schedules project work; and communicates progress to management. The role also supports department initiatives and ad hoc reporting requests.

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.