Top Analysis Reporting Jobs in Des Moines, IA

Build, maintain, and standardize KPI and AUM reporting; aggregate and reconcile data from multiple systems; design dashboards and KPI frameworks; analyze financial and operational trends; improve reporting automation and data quality; present insights to senior leadership and document data sources and processes.

Design, build, and maintain cloud-based data pipelines and products to support analytics and ML. Create discoverable datasets, collaborate with embedded teams to capture system metrics, perform aggregation and visualization, develop production-ready Python/SQL/PySpark workflows, and implement monitoring, dashboards, and alerting to ensure data quality and system health.

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

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.

Design and build Power BI reports and SSRS reports, write advanced SQL to extract and validate data, create scalable data models, investigate trends, automate reporting processes, and collaborate with business partners to translate requirements into usable analytics solutions.

Designs, deploys, and supports healthcare data acquisition, integration, transformation, and data quality solutions using enterprise and cloud technologies. Develops SQL assets, OMOP Common Data Model transformations, testing processes, documentation, and AI data pipelines. Manages projects, resolves escalated incidents, mentors data engineers, supports training, and collaborates with analysts, vendors, clients, and technology teams.

Build and maintain performance dashboards, KPIs, and data frameworks for revenue operations. Analyze funnel performance and program effectiveness, translate complex data into leadership insights, automate recurring reporting, and perform SQL-based data wrangling and transformations. The role partners with cross-functional, engineering, and data science teams to improve measurement, resolve data issues, and support strategic business decisions.

Own paid social measurement and analytics across brand, consideration, and performance campaigns. Execute Conversion Lift and Brand Lift Studies, design geo-randomized experiments with data science, build KPI dashboards, evaluate creative and audience performance, and recommend budget and strategy changes. The role requires advanced SQL and Python or R, causal inference expertise, scalable reporting, and the ability to communicate insights to senior marketing leaders.

Implement, QA, and document tag management and data-layer specs across GTM, GA4, server-side pipelines, Shopify, and native apps. Collaborate with product and engineering to ensure tracking, pixel integrity, attribution, and experimentation event fidelity; support monthly audits, consent enforcement, and maintain centralized solution design documentation.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.