Top Senior Analysis Reporting Jobs in Des Moines, IA

Own enterprise data architecture across analytical, operational, and integration platforms. Design data models, cloud and hybrid platforms, governance standards, pipelines, and ETL/ELT processes. Partner with technical and business stakeholders, guide engineering teams, evaluate Azure technologies, and ensure security, quality, lineage, scalability, and cost efficiency. Support AI/ML workloads, streaming architectures, CI/CD, monitoring, and regulated enterprise environments.

Designs and maintains enterprise reporting, dashboards, semantic models, and analytics solutions using Snowflake, Power BI, and SQL. Translates business requirements into scalable data products, performs complex analysis, and communicates insights to technical and non-technical stakeholders. Supports data governance, quality, metadata, automation, testing, deployment, and production support. Promotes data literacy, mentors peers, evaluates emerging technologies, and contributes as an analytics subject matter expert on enterprise projects.

Contract Big Data Architect to design and stand up a Hortonworks/Hadoop stack on Azure (HDInsight/HDP). Ingest XML files via a Hadoop listener into HDFS, process with Spark or MapReduce into Hive/HBase, and expose data for Informatica-based ETL into an on-prem data warehouse.

Design, develop, maintain, and deploy Informatica PowerCenter ETL mappings, workflows, and processes in Unix/Oracle 11g environments. Architect ETL solutions and data conversion strategies, extract metadata, build complex SQL, implement dimensional models, work in Agile teams, perform requirements gathering, development, and data QA, and communicate with clients and stakeholders.

Own and manage the digital analytics ecosystem including GA4 and GTM, design and maintain data layer architecture, ensure data consistency to Snowflake and Tableau, enforce data governance, troubleshoot data issues, and partner with marketing, IT, and data teams to implement and QA tracking and reporting.

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.

Lead enterprise data, analytics, and insights strategy to drive business performance. Own executive dashboards, customer segmentation, lifetime value models, governance, and scalable self-service analytics. Partner with Product, Technology, Operations, and other stakeholders to operationalize insights, ensure data quality and consistency, and build a high-performing analytics team with career paths, training, and measurable business outcomes.

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.

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

Design and build PerfectServe’s unified cloud data platform, including ingestion pipelines, integrations, data models, metrics, and consumer-facing data layers. Establish architecture, engineering, quality, and testing standards; enable safe extraction from production systems; partner with data users; and mentor data engineers. The role requires substantial cloud data platform experience, deep SQL, warehouse expertise, ELT, change-data-capture, AWS, modeling, orchestration, and data quality skills.