Top Remote Data & Analytics Jobs in Des Moines, IA

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Provides technical enablement for Portfolio Insights by developing and maintaining Power BI monitoring dashboards, translating ambiguous business questions into analytical outputs, synthesizing cross-portfolio insights, and preparing executive-ready analytics. Partners with internal data teams, supports measurement strategies, leads technical execution across Property, Casualty, and Financial Lines, and communicates findings to nontechnical leaders. The role also manages projects, builds business intelligence applications, and serves as a trusted advisor to stakeholders.

The GIS Intern will assist GIS and Project Managers with Indoor Mapping field collection projects, focusing on data collection and analysis.

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.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Build and operate trusted data products, governed datasets, scalable pipelines, and platform workflows supporting analytics, AI, and business operations. Responsibilities include data quality, validation, observability, recoverability, semantic consistency, governance controls, permissions, privacy-aware access, automation, and production monitoring. The role partners with stakeholders to resolve ambiguous data needs, drives platform improvements, provides technical direction, and adopts agentic development workflows.

Reviews video annotations, action labels, and hand-pose data for accuracy, consistency, and completeness. Corrects errors using detailed quality guidelines, evaluates English-language descriptions, documents findings, and provides feedback on recurring issues. The role requires methodical visual review, precise corrections, clear written communication, and independent work in a remote environment. No prior AI experience is required.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.