Top Data & Analytics Jobs

Supports Consumer Finance reporting and project activities by eliciting and documenting requirements, collaborating with business and development teams, triaging testing defects, and contributing to project status meetings. The internship requires analytical reasoning, communication, facilitation, organization, and time-management skills. It runs full-time for 10–12 weeks during summer 2027 and includes networking, professional development, presentations, volunteering, and an in-person corporate-office event.

Analyzes organizational and clinical data, develops reports, dashboards, visualizations, surveys, and reporting tools, and presents findings to leaders and boards. Audits data quality, improves workflows and system integration, maintains reporting configurations, supports quality improvement and patient management initiatives, and trains users on data systems. The role collaborates with stakeholders, ensures privacy compliance, and travels between organizational and partner sites as needed.

Designs and delivers a global analytics platform supporting reporting, visualizations, self-service analytics, and embedded data products. Responsibilities include data collection and processing, semantic modeling, warehouse and pipeline development, query optimization, governance, analytics enablement, and stakeholder collaboration. The role provides actionable insights from complex travel data and builds integrated analytics applications using cloud platforms and business intelligence tools.

Support affordable housing and land use consulting projects through GIS, spatial analysis, parcel prioritization, mapping, market studies, and quantitative and qualitative research. Analyze Census, PUMS, CoStar, and other datasets using ArcGIS, R, or Python; create publication-quality maps and graphics; provide technical assistance to local governments and community partners; collaborate with spatial analysts; review work products; and support project delivery, quality control, and client relationships.

Develops scalable data models, dashboards, reports, and analytical solutions that support business decisions. Partners with stakeholders to translate requirements, ensures data accuracy and usability, provides technical guidance to end users, documents architectures and processes, and communicates findings to technical and non-technical audiences. The role requires advanced Spotfire, SQL, and business intelligence experience, plus familiarity with modern data platforms and AI-assisted development tools.

Develop and maintain Power BI dashboards, reports, scorecards, data models, and analytical solutions for healthcare revenue cycle operations. Gather requirements, write and optimize SQL, validate data, resolve discrepancies, and deliver actionable financial and operational insights. Collaborate with leadership, technical teams, internal stakeholders, and clients while managing reporting projects, UAT, enhancements, automation, benchmarking, reimbursement analysis, and trend analysis.

Own Doctronic’s end-to-end data platform, including CDC pipelines from production databases into S3, Iceberg, and Snowflake; dbt transformations; orchestration; warehouse architecture; monitoring; and governed access to PHI. Establish trusted, documented data layers for analytics, finance, dashboards, and AI model training. Implement HIPAA-compliant access controls, anonymization, and deletion workflows while partnering autonomously with product, finance, marketing, partnerships, and AI teams.

Leads data engineering, cloud architecture, scientific software, and AI-enabled research platforms. Builds LLM, RAG, knowledge-search, and agentic workflows; integrates scientific systems; develops bioinformatics, genomics, clinical, and machine-learning data pipelines; and strengthens data quality, governance, lineage, security, observability, and reliability. Provides technical leadership across architecture, roadmaps, engineering practices, mentoring, and cross-functional collaboration.

Serve as an analytics subject matter expert guiding internal and external clients through business strategy discussions. Conduct discovery meetings, identify data analytics opportunities, design analytic solutions and proposals, communicate solution designs, and implement Decision Sciences products and services. The role requires expertise in data analysis, statistical modeling, consulting, business insights, and client presentations.

Mid-level analyst owning analytical projects end-to-end: build dashboards, reports, and data models; conduct structured analyses to surface insights; partner with Finance stakeholders; improve processes and automation; mentor junior analysts; and ensure data quality, documentation, and clear communication of findings to technical and non-technical audiences.