Top Remote Data & Analytics Jobs in Kansas City, MO

The role involves writing and maintaining fraud rulesets, conducting data analysis to identify and mitigate fraud, and collaborating with cross-functional teams to implement fraud strategies.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

Manage and grow a data engineering team, overseeing the design and maintenance of data platforms using Snowflake, dbt, and Azure. Drive best practices in data management and ensure reliable data movement and quality.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.

The Senior Digital Strategist & UX Researcher will drive user research and digital strategy for nonprofits, guiding decision-making and delivering actionable insights to clients.

In this role, you will design data architecture, lead integration strategies, mentor engineers, and drive AI infrastructure for cross-division data systems.

The Sr Cloud Database Administrator manages and optimizes AWS-hosted MariaDB environments, troubleshooting performance issues and supporting database operations for DrChrono, a healthcare SaaS application.

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.