Top Remote Data & Analytics Jobs in Kansas City, MO

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.

Design, build, and optimize scalable batch and real-time data pipelines; develop ETL/ELT workflows; manage and tune cloud data warehouses; automate infrastructure with Airflow and IaC tools; deploy with containerization and orchestration; collaborate with data scientists and analysts; monitor, troubleshoot, and enforce data governance and security.

Design, develop, and support enterprise analytical and operational data solutions (ETL/ELT, data models, integrations, reports). Lead metric/technical design, manage medium-to-large projects, provide production support, documentation, training, and mentor junior team members. Maintain certifications and stay current with EHR/ERP, cloud, SQL, and BI technologies.

Build and maintain GCP-based data pipelines and foundational tables (BigQuery, Dataform, Dataplex). Merge financial and ERP datasets, define metrics, deliver reports and analyses, and collaborate cross-functionally to support decision-making and business measurement.

Lead a team of 5-6 data engineers to design and implement scalable data pipelines (Airflow), manage Snowflake data architecture, build real-time streaming solutions with Kafka/Spark Streaming, develop and integrate APIs, enforce code quality, and drive technical decisions and best practices.

Owner of cross-functional analytics projects: build and maintain dbt models, write advanced BigQuery SQL, create BI dashboards (Omni/Power BI), monitor data quality, define metrics, enable stakeholder decisions, and use AI tools to accelerate analysis and QA.

The Senior Manager of Data Insights will lead a team to optimize data sharing and governance, develop data strategies, and deliver actionable business intelligence across Docker's operations.

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

Support maintenance and quality of proprietary datasets, oversee daily research operations, implement workflows, communicate manager priorities, mentor team members, and help improve efficiency and quality metrics.