Top Senior Data & Analytics Jobs in Des Moines, IA

Lead enterprise Microsoft Fabric data architecture, landing-zone design, governance, security, integration, semantic modeling, DevOps, and AI-ready platform delivery. Design scalable Lakehouse and Warehouse solutions, establish standards and operating models, guide Power BI and data engineering practices, automate deployments, and provide technical leadership across architecture reviews, discovery workshops, and implementation. The role requires deep Azure, Fabric, data engineering, security, and enterprise integration expertise.

Lead enterprise legacy-system modernization by architecting governed data pipelines, developing transformations and validation logic in Palantir Foundry and Databricks, engineering secure ERP integrations, and translating requirements into scalable data models and configurable business rules.

Senior Database Administrator responsible for optimizing MySQL and AWS Aurora query performance, indexes, execution plans, stored procedures, and database architecture. Supports SQL Server and AWS RDS environments, cloud migrations, schema refactoring, data modeling, maintenance, backups, and operational tuning. Collaborates with developers and QA teams on database code reviews and mentors engineers on query optimization. The role requires extensive DBA experience, cloud database migration expertise, and strong relational data modeling skills.

Leads the design, development, optimization, and migration of modern data platforms in Snowflake. Builds pipelines with dbt, Python, and cloud services; gathers client requirements; creates solution designs and project plans; advises on Snowflake performance, cost, security, and workload management; integrates BI, governance, and AI/ML tools; contributes to accelerators and mentors junior engineers. The role is remote, client-facing, consultative, and focused primarily on technical delivery rather than sales.

Performs digital measurement analytics for emerging payments platforms, including data collection, validation, reporting, and feature-performance measurement. Partners with marketing, technology, digital, and analytics stakeholders to implement strategic priorities, deliver accurate insights, and support digital data strategy. The role also contributes to analytics roadmaps, project delivery, internal initiatives, and actionable business recommendations using SAS, SQL, Tableau, and Adobe Analytics.

Owns marketing performance measurement, reporting, dashboards, data models, KPI governance, attribution, forecasting, and ROI analysis. Builds marketing analytics infrastructure in Domo, integrates Salesforce and HubSpot data, monitors funnel and campaign performance, and translates complex findings into recommendations for marketing and executive stakeholders. Partners with finance and cross-functional teams on budget planning, data quality, and performance optimization.

Build and operate batch and streaming data pipelines, ETL/ELT workflows, data warehouses, dimensional models, and reusable data services. Improve reliability, performance, quality, and cost efficiency through monitoring, testing, automation, and incident response. Partner with analytics, data science, product, business, platform, and infrastructure teams to deliver production data solutions and roadmap initiatives. Apply AI-assisted tools responsibly to development, testing, documentation, and troubleshooting.

Own and operate the Snowflake warehouse and Sigma semantic layer; manage ingestion (Fivetran), dbt model scoping and review, reverse-ETL, data quality SLAs, dashboards, month-end financial analytics, vendor management, and automation to support AdOps, Sales, Finance, and executive reporting.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.

Lead analytics for Wealth Solutions: analyze client segmentation, revenue, and operational data; build models for capacity and workforce planning; produce insights and recommendations for senior leadership; partner with BI and Finance to improve advisor productivity, client experience, retention, and revenue growth; support strategic projects and translate complex data into clear presentations.