Top Remote Data & Analytics Jobs in Kansas City, MO

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.

Perform fundraising analyses, manage and aggregate finance data from multiple platforms, validate fundraising models, build automated reporting and pipelines, design experiments (A/B tests), automate repetitive processes, and handle ad hoc data requests to optimize fundraising performance and operations across teams.

Architect and deploy scalable Inventa data-management solutions, lead complex enterprise integrations (APIs, on-prem, cloud, SaaS, data lakes), resolve architectural performance and access issues, create global architecture guides and documentation, and feed product improvements through field insights. Customer-facing, cross-functional collaboration with Sales, Customer Success, and Product.

Perform clinical data abstraction and quality data management for hospital partners using EMRs and registry tools. Extract, categorize, code, and validate registry/case information, ensure accurate submissions, follow regulatory reporting requirements, troubleshoot technical systems, contribute to process documentation, and complete up to six months of on-the-job training via Q-Centrix Institute.

Build and maintain BI dashboards and KPI reporting for manufacturing, supply chain, quality, and fulfillment. Create internal tools and workflow automations, integrate APIs and business systems, and consolidate ERP/MES/PLM data into unified operational reporting tied to recurring decisions.

Lead development of cloud data platforms and end-to-end data pipelines using AWS/Snowflake and big-data technologies (Spark, Hive, Iceberg). Automate builds and deployments with Bash/Python shell scripting, apply CI/CD and Medallion Architecture, perform data modeling and warehousing, and collaborate across teams. Pharma/AbbVie experience preferred.

Lead building a data- and AI-enabled growth engine to improve pipeline quality and visibility. Define data governance, segmentation, scoring, and KPIs; operationalize demand-generation campaigns and tooling; prototype AI-driven automation and reporting; partner with vendors and sales/marketing to measure and improve pipeline conversion and ROI.

Provide hands-on support for procurement and finance systems: implement and optimize ERP/source-to-pay platforms, maintain master data, validate reporting, troubleshoot issues, support system upgrades, automation, BI/dashboard development, and change management to ensure data integrity and operational efficiency across finance and procurement.

Lead analytical projects, develop quantitative models, analyze datasets for insights, and translate findings into business recommendations, primarily supporting client decision-making.

Ensure accuracy, integrity, and compliance of master and reference data across enterprise systems. Enforce governance, validate and remediate Salesforce and other system records, perform audits/cleansing/de-duplication, support migrations and integrations, produce reports and insights, and partner with global teams to improve data processes and adoption of standards.