Top Data & Analytics Jobs

Develop and optimize consumer credit underwriting, pricing, acquisition, and risk strategies using historical customer data. Conduct deep analysis, segmentation, modeling, sensitivity analysis, validation, reporting, and quality control. Use SQL, SAS, Excel, and other analytical tools to identify customer behavior drivers, improve profitability, mitigate losses, automate processes, and communicate insights to management and business partners.

Analytics Engineer Intern supporting KEEN’s migration from legacy SAP to SAP S/4HANA. Responsibilities include mapping data structures, writing SQL reconciliation queries across Snowflake and SQL Server, investigating discrepancies, reviewing Power BI dependencies, documenting data lineage and business logic, contributing to dbt models and data quality tests, and presenting findings. The role is onsite in Portland, Oregon, runs for 10 weeks, and provides hands-on experience with modern data platforms.

Own end-to-end analytics for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, establish metrics, build reports, conduct analyses and experiments, and deliver actionable recommendations. Partner with stakeholders to influence decisions and drive initiatives through execution. The role requires strong analytical problem-solving, independent data work, persuasive communication, and ownership of ambiguous business challenges.

Leads enterprise data analytics strategy, governance, quality, automation, and database initiatives. Advises leadership on data-driven decisions and healthcare AI implementation, addressing interoperability, data silos, and technical barriers. Oversees analytics frameworks, advanced modeling, machine learning, reporting, dashboards, and data integrity. Provides thought leadership and leads development of a high-performing analytics team.

Leads enterprise data engineering, architecture, integrations, and database teams. Oversees production SQL Server environments and directs migration of data platforms and pipelines to Azure Cloud and Databricks. Establishes engineering standards, guides SSIS and legacy workflow modernization, ensures security and healthcare regulatory compliance, and manages resource planning, roadmaps, budgets, disaster recovery, monitoring, and system lifecycle activities.

Leads multidisciplinary analytics, business intelligence, applied data science, AI, and product engineering teams. Owns analytical product strategy and delivery for infrastructure, cloud, reliability, FinOps, technology lifecycle, and operational performance. Translates complex technology problems into dashboards, visualizations, recommendations, conversational experiences, and decision-support products. Drives AI adoption, stakeholder engagement, roadmaps, talent development, and measurable business impact across enterprise environments.

Leads the design and implementation of enterprise data and AI platforms for federal clients. Responsibilities include architecting AWS data lakes, warehouses, analytics platforms, pipelines, APIs, and serverless solutions; establishing data governance and modeling standards; implementing RAG, LLM, AI agent, and MCP solutions; developing AI evaluation frameworks; and providing technical leadership across Agile teams.

Supports habitat and conservation programs through environmental data stewardship, GIS analysis, spatial dataset development, mapping, dashboards, StoryMaps, reporting, and science communication. The role develops data standards, metadata, QA/QC procedures, analytical workflows, and web-based GIS products while coordinating with government, Tribal, academic, nonprofit, and restoration partners. It also provides technical guidance, maintains data catalogs and repositories, and translates habitat and restoration information for technical and public audiences.

Analyzes operational and financial data for the product support division, producing reports, dashboards, visualizations, KPI insights, and recommendations. Supports management reporting, business performance analysis, compensation data needs, Caterpillar Service Excellence reporting, and branch financial reviews. Collaborates with leadership, business intelligence, and human resources teams to identify trends, improve efficiency, and communicate actionable findings.

Develop and maintain Power BI dashboards and reports using SQL, Excel, EHR data, and other sources. Analyze clinical, financial, and operational information; support state and federal reporting; validate data quality; and collaborate with leadership and departments to meet reporting needs. The role offers opportunities to build skills in data modeling, reporting, and data pipelines while supporting mental health service delivery.