Top Remote Data & Analytics Jobs in Kansas City, MO

Perform product and player-behavior analysis for Marvel Strike Force using SQL/Python and reporting tools. Build recurring KPI reports, design/validate analytics tracking and experiments, partner with cross-functional teams, and use AI-enabled tools to accelerate workflows while ensuring data quality, privacy, and clear executive-ready insights.

The role involves developing insights from data to shape strategies for eyewear and software operations, focusing on customer experience, operational efficiency, and business growth. Collaboration across functions and advanced analytics are key to identify trends and enhance the customer journey.

Build and enhance enterprise analytics and visualization solutions: develop interactive dashboards, data-driven apps, transform and prepare data with Python, implement frontend visualization components with TypeScript, integrate with Microsoft and Google enterprise ecosystems, and use AI tools to accelerate development while collaborating with stakeholders and owning deliverables end-to-end.

Provide geospatial and market intelligence to support leasing, marketing, investments, and development. Maintain geospatial datasets and trade areas, perform location-based analyses integrating internal and third-party data, build maps/dashboards/reports, and apply AI-enabled tools and automation to improve research, reporting, and decision support across the organization.

Lead enterprise insurance analytics initiatives supporting underwriting, claims, finance, and operations. Build reporting and dashboards, ensure data integrity across TPAs and systems, support captive program performance, partner with actuary and IT, and present actionable insights to leadership.

Architect and implement scalable Azure Lakehouse solutions (Databricks, Microsoft Fabric). Lead cloud data migrations, build ETL/ELT and streaming pipelines, enforce data governance and security, advise clients, run workshops, and mentor teams while managing multiple engagements.

Lead Business Analyst partners with leadership to analyze data, evaluate processes, define requirements, build reports/dashboards, drive cross-functional improvements, and deliver executive-ready insights and recommendations to improve efficiency and business outcomes.

Build and maintain data pipelines, transform large datasets for analytics, enforce data quality and monitoring, document semantic context, and collaborate with product and engineering to power customer-facing data services.

Responsible for compiling, cleaning, enriching, analyzing, and visualizing sales and pipeline data across systems. Build forecasting models, dashboards, and reports; present insights to stakeholders and collaborate cross-functionally to improve processes and reporting.

Own and operate production data pipelines and scheduled workflows supporting billing, analytics, and reporting. Monitor, troubleshoot, and respond on-call to incidents; implement data quality checks, SOX controls, and pragmatic modernization. Improve orchestration, automate manual steps, optimize data models and infrastructure, and collaborate with analysts, data scientists, and stakeholders while mentoring junior engineers.