Top Analysis Reporting Jobs in Des Moines, IA

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Design, build, and operate scalable data pipelines and integrations for an RCT-driven voter platform. Extend data platform, optimize cost and reliability for election-scale loads, lead cross-system projects, ensure data quality, document systems, and participate in on-call incident response.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The Senior Data Engineer designs, develops, and operates scalable data warehouses, ETL/ELT pipelines, integrations, and data-quality frameworks. The role transforms data from internal and third-party systems into reliable, accessible resources for analytics and reporting. Responsibilities include automating data preparation, monitoring pipeline performance, improving data infrastructure, collaborating with stakeholders and IT, and providing technical guidance within an agile team.

Analyzes sales and distribution channel performance, develops Power BI dashboards and executive reports, evaluates sales incentive plans, and provides data-driven recommendations. Partners with Sales, Finance, Human Resources, and product stakeholders to define metrics, monitor trends, assess compensation outcomes, and improve strategic decision-making. Ensures accurate, accessible reporting and translates complex data into actionable business insights.

Designs, develops, deploys, and supports complex data pipelines, integrations, analytics platforms, reporting assets, and Azure-based solutions. Leads technical design, operational reliability, CI/CD, release coordination, compliance-aware data engineering, troubleshooting, documentation, and stakeholder communication. The role mentors junior and mid-level engineers, improves monitoring and automation, supports healthcare data domains, and ensures secure, scalable, and supportable platform delivery across Databricks, dbt, Power BI, Azure Data Factory, Lakeflow, and related technologies.

Full-time interns support market research projects, manage post-visit and move-in surveys, assist with questionnaire development, collaborate across departments, participate in mentorship and networking, and present project outcomes to senior leadership. The 12-week program requires 40 hours per week and offers broad exposure to organizational operations. Power BI or Tableau experience is preferred.