Top Remote Analysis Reporting Jobs in Des Moines, IA

Leads enterprise data architecture strategy, modernization, and multi-year platform roadmaps. Defines standards for data models, ingestion, transformation, orchestration, quality, governance, observability, and consumption across batch and streaming environments. Provides technical leadership to data engineering and analytics teams, oversees scalable data solutions, mentors technical leaders, and partners with business, engineering, security, and data science stakeholders. Evaluates technologies, guides vendor selection, enables data products, and explores GenAI applications.

Build and scale an enterprise metrics store, dbt models, semantic-layer definitions, and analytical workflows. Develop governed business metrics, root-cause analysis, metric relationships, and reusable logic for BI tools. Partner with product, engineering, sales, underwriting, claims, and experience teams to translate business questions into actionable insights. Improve data quality, define data contracts, debug upstream and analytical issues, and help prepare metric infrastructure for API-based serving.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Leads the design, automation, optimization, and maintenance of scalable data pipelines using Airflow, dbt, Python, SQL, and Google Cloud technologies. Manages dbt models, develops reusable architecture patterns, monitors pipeline performance, supports CI/CD and testing, and ensures data security and governance. The role also provides technical leadership, mentors engineers, collaborates cross-functionally, documents implementations, and drives continuous improvement across data engineering practices.

Develops scalable business intelligence and analytics solutions for Microsoft’s cloud data center delivery lifecycle. Builds data assets, dashboards, models, and automated workflows; improves data quality and reporting; translates complex business questions into analytical requirements; identifies process improvements; and delivers actionable insights to technical and executive stakeholders through cross-functional partnership.

Owns the technical and analytical infrastructure supporting marketing growth. Responsibilities include Webflow development, JavaScript and HTML customization, Google Tag Manager implementation, HubSpot integrations, lead-capture forms, SQL/Python/Databricks data pipelines, conversion-rate optimization, A/B testing, multi-touch attribution, and executive-ready marketing and sales performance insights. The role is fully remote and partners directly with commercial leadership on pipeline analysis, budget allocation, and incentive management.

Lead client analytics strategy, testing roadmaps, quantitative analysis, predictive modeling, campaign evaluation, reporting, and data visualization. Partner with cross-functional teams to deliver high-quality analytical solutions and communicate actionable insights to clients. Use statistical methods and tools including R, Python, SQL, BI platforms, and data warehouses to support marketing decisions, identify growth opportunities, and connect media performance to business outcomes.

Supports Service Fund Operations by developing data solutions, ETL pipelines, reporting tools, and data models using SQL, Databricks, UDAP, Python, Power BI, and related platforms. Performs data analysis, troubleshooting, root cause analysis, user acceptance testing, and data migration support. Collaborates with business operations, IT, and provider relations to translate requirements into technical solutions and improve reporting and data quality.

Designs, develops, and supports SAP HANA reporting solutions and enterprise data products. Responsibilities include building data pipelines, calculation views, BI visualizations, embedded analytics, validation processes, metadata documentation, demos, and user training. The role partners with stakeholders, analysts, data scientists, and process teams to translate business requirements into deployable data solutions and improve the organization’s data platform.

Leads Microsoft cloud data and AI implementations for clients, including requirements gathering, dimensional modeling, ETL pipeline development, Power BI reporting, performance tuning, data governance, and Azure DevOps delivery. Builds client relationships, mentors junior consultants, oversees project teams and source code, supports presales, and drives continuous improvement. The role is remote with travel requirements.

Contractor role with no specific responsibilities or qualifications provided. The position is associated with SitusAMC’s real estate-focused organization and may involve data and reporting activities.