Top Analysis Reporting Jobs in Des Moines, IA

Lead Ab Initio ETL architecture and design, manage metadata (including Ab Initio Metadata Hub), implement metadata management processes, provide solutions across projects, perform advanced Unix shell scripting, liaise with senior client stakeholders, and manage the client development team.

Support development, maintenance, and automation of KPI and AUM/AUA reports. Aggregate and reconcile data from multiple systems, build dashboards, standardize KPI definitions, analyze financial and operational trends, and present insights to senior leadership while ensuring data governance and documentation.

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 analysis and modernization of actuarial and financial systems: translate complex requirements, perform SQL-based data validation, support AWS data platform improvements, manage Agile delivery (user stories, testing, production support), mentor analysts, and leverage AI tools to improve business analysis and reporting.

Lead design, development, and optimization of enterprise data infrastructure. Oversee scalable data architectures, automated ETL/ELT pipelines, integrations, and cloud-native platforms (Snowflake, Azure Data Factory, Data Bricks). Drive data engineering strategy, operational excellence (DevOps/CI-CD), reporting delivery, and cross-team analytics enablement. Manage off-hours upgrades and provide technical guidance to senior IT leadership.

Perform SQL-based data queries and reconciliations, process dealer inquiries and payments, prepare ad-hoc financial reports, analyze vendor data and resolve discrepancies, and support cross-functional teams to improve operational efficiency. On-site in Urbandale, 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.