Top Senior Data & Analytics Jobs

Develop, maintain, and optimize ArcGIS Enterprise and ArcGIS Pro datasets, services, and geoprocessing workflows. Perform spatial analysis and cartography, automate workflows (ModelBuilder/Python where appropriate), publish and manage GIS services, troubleshoot GIS systems, and collaborate with developers and stakeholders to integrate and document scalable geospatial solutions supporting mission planning.

Lead strategic revenue cycle analyses to diagnose patient billing and collections performance, quantify ROI and value, build executive-ready recommendations and playbooks, partner cross-functionally, and mentor teammates to drive scalable, data-driven improvements.

Build scalable data solutions and reconciliations to automate Compliance & Finance regulatory processes. Partner with stakeholders to translate requirements into designs, lead technical development, review code, and evolve standards for data pipelines and reporting.

Design, build, and operate big-data and streaming platforms (Kafka, Hadoop, Dremio). Develop, deploy, and monitor data pipelines using Java, Python, Spark/Flink; collaborate on data modeling and ingestion, ensure data integrity and availability, act as a Big Data SME, and perform root-cause analysis.

Lead product analytics for new financial product initiatives: build business models, segment customers, create datamarts and dashboards, ensure data quality, design experiments, and surface insights using AI-enabled tooling to guide product decisions.

Lead BI strategy and a team of BI Engineers and Analysts for Pharmacy Operations. Own analytics roadmap, build scalable data products, dashboards, ETL/ELT pipelines, and curated datasets. Partner with stakeholders to prioritize work, run deep-dive analyses, ensure data quality and governance, and drive adoption of analytics solutions.

Design, build, and maintain BI-ready datasets, dashboards, and monitoring tools for high-throughput lab operations. Implement process monitoring (SPC), ensure data quality and audit readiness, perform root-cause analysis, and partner with Data Science to deploy predictive models that improve throughput, quality, and compliance.

Lead and execute analytics implementations (primarily Google Analytics/GTM or equivalents), consult on technical solutions, manage client interactions, QA project work in Asana, mentor junior consultants, and deliver insights and data visualizations for clients.

Drive North America commercial performance insights by translating business questions into data-driven analysis. Deliver reports for QBRs/MBRs, set and track commercial goals, analyze full-funnel performance, enforce global KPI standards, support revenue operations initiatives, and communicate actionable recommendations to regional leaders and cross-functional partners.

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.