Top Data & Analytics Jobs in Des Moines, IA

Lead design and delivery of scalable data platforms and pipelines on Azure (Synapse, Data Factory, OneLake, Microsoft Fabric). Build BI solutions with Power BI (DAX, Power Query/M), implement data warehousing and semantic models, promote CI/CD and governance, mentor engineers, and collaborate with stakeholders to deliver data-driven insights.

Build and maintain ETL/ELT pipelines and data platforms across Azure and on-prem sources. Translate business requirements into technical designs, implement ingestion and transformation pipelines, model relational and dimensional data, ensure data quality/security, and support event streaming architectures. Collaborate with SMEs, partners, and vendors to enable new business capabilities.

The Sr. Biostatistician supports R&D by translating scientific questions into statistical problems, conducting analyses, and collaborating with teams to advance biotechnology traits.

Translate business and analytic requirements into secure, reliable data visualizations and solutions. Elicit requirements, build executive-level dashboards (fast, with minimal oversight), own data products, perform data profiling/wrangling, and collaborate on standardized reporting and self-service analytics while applying secure engineering practices.

Provide detailed specifications for a web application by gathering and analyzing requirements, working closely with DOT project leads, and ensuring compliance with IT standards.

The Business Analyst will facilitate business process mapping, write user stories, document functional and non-functional requirements, and maintain a product backlog while collaborating with stakeholders.

Design, build, and optimize ETL pipelines and data models for the company data lakehouse. Support migration, Databricks cluster administration, CI/CD with Azure DevOps, data validation, auditing, and performance tuning. Collaborate with analysts and IT to resolve data issues and ensure scalable, accurate data processing.

Design and deliver enterprise data infrastructure and architectures across on-prem and Azure cloud. Build ETL/ELT pipelines, data models, governance, security, and migrations; mentor teams and align data platforms to business, compliance, and analytics needs.

The Senior Data Engineer will lead data platform design, mentor teams, and develop scalable data solutions using Snowflake and AWS services.

Design and own enterprise data architecture across analytical, operational, and integration platforms. Build logical/physical data models, cloud/hybrid data platforms, and scalable pipelines. Enforce standards, ensure governance, security, and compliance. Guide data engineers, evaluate technologies, optimize ETL/ELT, and support CI/CD, monitoring, and AI/ML enablement.