Top Data & Analytics Jobs

Design and maintain executive Power BI dashboards and Power Apps, translate clinical and financial data into actionable insights, build frontend data products, educate end-users, partner with backend engineers to build pipelines in Microsoft Fabric, and perform ad-hoc healthcare analytics and modeling to support operational leaders.

Provide senior-level data engineering for analytics: resolve complex technical issues, build decision-support reports and dashboards, lead projects, prepare and integrate data, coach staff, and ensure high-quality analytics to support academic, research, and healthcare goals.

Provide senior-level BI and quantitative analysis for federal clients: collect and evaluate data, develop methodologies (regression, optimization, simulation), define KPIs, build visualizations and reports (PowerBI/Tableau), manage project deliverables, document results, present findings, and mentor junior analysts.

Implement Power Platform automations and Power BI dashboards, build ETL/data pipelines from sources (ADVANA, Palantir, Azure), improve workflows, support data architecture and governance, and produce technical documentation and client-facing briefings.

The Senior Azure Data Consultant will build and maintain data pipelines, develop lakehouse solutions, optimize ETL processes, and support analytics capabilities in a Microsoft Fabric environment.

Senior actuary responsible for developing and optimizing pricing and predictive models (GLMs and other techniques), conducting rate adequacy and portfolio profitability analyses, building data pipelines and tools, and partnering with underwriting, claims, finance, and IT to align pricing strategies and support complex accounts and product development.

Design, build, and maintain scalable Databricks-based data pipelines and ELT workflows; develop and document dbt models; define data modeling methodology; ensure data quality, reliability, and scalability; collaborate with clients and cross-functional teams; provide technical guidance and deliver improvements to clients' data infrastructure and analytics capabilities.

The Digital Assets Product Analyst will manage data reporting, analyze market behavior, support product strategy, and develop insights for digital asset trading solutions.

The Senior Manager, Data Lakehouse leads operations of UMGC's enterprise data strategy, focusing on the Databricks platform, team management, and cross-functional collaboration for analytics initiatives.

Responsible for establishing and executing QA strategy for Workday and integrations, enhancing QA processes, and executing various testing types, ensuring timely and high-quality software releases.

Build and own the reporting and insight layer: write optimized Redshift queries, build dashboards, monitor model feedback signals, triage and prioritize investigations for data science, maintain ETL pipelines ingesting semi-structured data, and enable Customer Success with clear metrics and onboarding checks. Move into model validation and automation to scale analytic workflows.

The Business Analyst will gather requirements from clients, support project lifecycles, conduct demos, and manage change, while utilizing ServiceNow. Responsibilities include documentation and relationship building.

Analyze data to enhance product performance, design A/B tests, build dashboards, and improve data quality. Engage in LLM evaluations and communicate findings effectively.