Top Hybrid Data Analysis Jobs

Build network, demand, pricing, and partner analytics for specialty pharmacy and infusion networks. Develop claims-based prevalence, volume, geographic capacity, pricing, routing, and impact models; create scalable tools with Engineering; automate analyses using AI; support enterprise sales with client-specific insights; and provide executive recommendations on pricing, partnerships, and growth.

Analyze and optimize the end-to-end sales funnel by developing KPIs, dashboards, diagnostic analyses, and operational measurement frameworks. Partner with Sales, Operations, Data Engineering, and Data Science teams to improve conversion, revenue, capacity planning, and pipeline prioritization. Lead AI-native automation initiatives, including LLM analytics assistants, automated reporting, prompt engineering, and machine learning model validation.

Senior Business Analyst responsible for defining system scope, analyzing user and business needs, documenting requirements, translating specifications into actionable solutions, and supporting client-specific functionality. The role partners with strategic client teams, serves as a subject matter expert, prioritizes requirements, maps account data workflows, and provides guidance on portfolio accounting, performance measurement, managed accounts, and fintech solutions.

Supports data collection, cleaning, transformation, analysis, visualization, and quality validation. The intern develops Power BI reports and dashboards, writes SQL queries, assists with data engineering and cloud data platform initiatives, documents data lineage and business rules, and supports analytics, automation, AI-enabled solutions, testing, and stakeholder requirements gathering in a regulated biotechnology environment.

Build dashboards, analytics, data pipelines, and quantitative tools for a corporate credit trading team. Analyze market, pricing, liquidity, dealer activity, P&L, positions, and risk data; identify relative-value opportunities; automate processes; backtest ideas; and collaborate directly with traders to develop practical solutions for live trading.

As a Senior Data Analyst, you will analyze complex data, mentor junior analysts, develop AI-based tools, and ensure data integrity while collaborating with cross-functional teams to drive insights and strategic decisions.

Performs complex data analysis, reporting, dashboard development, visualization, data validation, and statistical interpretation for healthcare association stakeholders. Queries and structures data for Tableau, recommends Snowflake enhancements, researches healthcare trends, and supports data collection and integrity processes. The role also trains users, provides technical support, reviews projects, advises analysts, communicates insights, and maintains dashboard systems.

Leads content analytics by designing reporting systems, analyzing performance across digital platforms, generating data-driven insights, advising content teams, automating data collection and analysis, and presenting findings to senior and non-analytical audiences. The role also uses experimentation, data science techniques, LLM prompting, and agentic AI tools to improve content performance.

Conduct qualitative and quantitative research, analyze transportation asset risks, track mitigation activities, and perform risk assessments for a DHS client. Provide scheduling and coordination support, maintain agendas, schedules, presentations, and meeting minutes, and participate in mission-related workgroup meetings. The role requires strong analytical, organizational, communication, and documentation skills, along with proficiency in Microsoft Office tools.

Supports healthcare survey data operations through data collection, validation, quality review, file preparation, issue resolution, and documentation. Reviews data for completeness, consistency, outliers, and accuracy; communicates with respondents to clarify information; supports reports, statistical tables, custom analyses, and cross-functional data needs. Requires strong Excel skills, attention to detail, communication, and the ability to work with survey data and databases. The role is hybrid with on-site work in Englewood, Colorado and regular conference travel.