Top Remote Data & Analytics Jobs in Minneapolis, MN

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.

As a Data Operations Engineer, you will manage partner data lifecycle, ensuring data quality and performance while collaborating with teams to enhance data integration processes and guide architecture decisions.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

Lead end-to-end marketing and customer analytics: provision and clean data, explore and model (clustering, forecasting, driver models), build ML models and experiments, create dashboards and visualizations, present recommendations to clients, document data architecture, and mentor junior analysts.

Own revenue planning, forecasting, and growth/retention modeling for enterprise customers. Build Power BI dashboards and predictive models, manage HubSpot lead-to-cash workflows, coordinate renewals/pricing with Deal Desk, document cross-functional processes, and act as the RevOps SME bridging Sales, Account Management, and Customer Success.

Lead analytics for Community Marketing programs: define measurement frameworks, build Power BI dashboards, run analyses across referrals/events/COI, deliver executive insights, forecast leads/opportunities, and partner cross-functionally to optimize program performance and reporting.

Lead data integration efforts: integrate and profile data from multiple sources, cleanse and enrich datasets, perform in-depth analysis, build automated data workflows, write and optimize complex SQL, create Tableau dashboards, produce ad hoc reports, translate insights for stakeholders, and manage UAT to ensure solutions meet business requirements.

Analyze business problems, translate needs into reporting specifications, build and maintain queries, reports and dashboards, partner with teams to resolve data issues, and support process improvements and BI best practices.

Serve as the technical bridge for Bliss Point MMM engagements: scope product fit with Sales, lead end-to-end data onboarding, enable client and internal teams for first model readouts, explain model methodology and outputs, coordinate cross-functional stakeholders, and implement AI/automation to standardize and scale processes.

Own the Finance & Operations data layer: ingest and model data from systems (NetSuite, Ramp, Pigment) into Snowflake/Omni, ensure data quality and metric governance, build dashboards and reports, collaborate with Finance/Ops stakeholders, and automate reconciliation and reporting workflows.