Top Analysis Reporting Jobs in Des Moines, IA

Leads enterprise advanced analytics and modeling to identify drivers of business performance across brands, markets, customers, accounts, and geographies. Translates findings into prioritized actions, playbooks, launch strategies, and scenario-based recommendations. Oversees rigorous, scalable analytical approaches, partners with senior stakeholders, and develops analytics talent across the organization.

Builds business-critical dashboards, scorecards, reports, and ad hoc analyses using SQL, Python, Excel, Power BI, and Tableau. Analyzes KPIs, identifies trends and root causes, automates recurring reporting, validates data, and translates complex findings into actionable insights for stakeholders and leadership. The role collaborates with data engineers and cross-functional teams to improve reporting workflows, data pipelines, and decision-making.

Own the architecture and standards for a trustworthy BI analytics platform. Design data models, ingestion and transformation patterns, lineage, PII controls, reliability SLAs, observability, schema governance, and cost management. Partner with engineers, analysts, business leaders, Security, Legal, and Compliance; enforce testing, CI/CD, infrastructure as code, and data quality practices. Mentor data professionals and document architectural decisions.

Supports regulatory reporting by defining data requirements, developing repeatable data flows, performing data cleansing and analysis, monitoring data quality, troubleshooting reporting issues, and creating reports, templates, documentation, and quality controls. Collaborates with actuarial data teams and business process owners to improve reporting scalability, accuracy, and compliance.

Owns end-to-end customer analytics workstreams, including KPI frameworks, multi-source dashboards, reporting, data governance, quality assurance, and insight delivery for government digital communications programs. Presents recommendations to stakeholders, mentors junior analysts, leads Agile ceremonies, documents analytics practices, resolves data issues, and evaluates AI-assisted analytics tools.

Supports data modernization by assessing legacy structures, designing modern data architectures, developing ETL/ELT pipelines, integrating APIs and cloud services, and ensuring data quality, security, governance, and lineage. Analyzes data for migration and reconciliation, creates dashboards and reports, and collaborates with technical and business teams. Applies AI tools to improve software development, DevSecOps, testing, security, deployment, and automation processes.

Leads enterprise data-platform architecture for clients using Microsoft Fabric and Azure. Responsibilities include discovery, target-state design, data modeling, migrations, DevOps and CI/CD, governance, security, AI/ML enablement, consulting, pre-sales, technical delivery leadership, mentoring, and development of reusable architecture assets. The role requires hands-on Fabric production experience, enterprise-scale implementation ownership, advanced SQL and Python/PySpark skills, client communication, and travel up to 25%.

Senior Data Manager acquires, validates, integrates, protects, and manages enterprise data throughout its lifecycle. The role develops ETL solutions, data architectures, models, stored procedures, reporting datasets, and visualizations using Databricks, SQL, and cloud technologies. Responsibilities include translating business needs into technical requirements, leading data projects through deployment, analyzing complex data, improving processes, and supporting business decisions through accessible insights.

Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, and supports batch, real-time, API-based, and event-driven integrations across enterprise systems. Establishes architecture and development standards, manages source-to-target mappings and reconciliation, troubleshoots production pipelines, and ensures governance compliance. Mentors offshore developers, conducts code reviews, and collaborates with business, MDM, data quality, and source-system teams throughout project delivery.

Runs end-to-end data readiness assessments across enterprise source systems, including source connections, scans, profiling, quality analysis, scorecards, issue lists, and migration baselines. Validates findings with SQL, investigates defects, evaluates duplicates and sensitive data, establishes tolerances, and translates results into migration design, effort, and reconciliation decisions while collaborating directly with client data stewards.

Designs, builds, tests, and maintains secure, scalable cloud data platforms, pipelines, ETL/ELT processes, data models, data marts, integrations, and reporting services. Supports data migration, archiving, disaster recovery, governance, metadata management, data quality, CI/CD deployments, and performance optimization. Collaborates with architecture, governance, migration, QA, and business teams in an Agile federal environment while maintaining audit-ready documentation and mentoring junior engineers.