Top Remote Data & Analytics Jobs in Kansas City, MO

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

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.

Serves as an analytical partner to business leaders by managing KPI scorecards, validating data quality, analyzing trends, conducting market and competitive research, and delivering actionable recommendations. The role integrates internal and external intelligence, uses AI-enabled research workflows, supports analytical project prioritization, and collaborates with data, analytics, business intelligence, and technical teams to develop scalable reporting solutions and insights.

Build and maintain scalable data pipelines, integrations, datasets, and data products using enterprise and cloud platforms. Improve data quality, governance, monitoring, lineage, and delivery efficiency while supporting reporting, analytics, machine learning, and AI initiatives. Collaborate with BI developers, analysts, product owners, business stakeholders, and technology partners to translate requirements into reliable data solutions and contribute to modernization efforts.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

The Data Product Manager will lead cross-functional teams to create high-impact data products, translate business needs into technical requirements, and manage product roadmaps. Responsibilities include collaborating with stakeholders, optimizing product performance, and ensuring compliance with industry standards.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.