Top Remote Data & Analytics Jobs in St. Louis, MO

Embed on the Video product team to build reusable data models, transformation layers, and pipelines (Snowflake, dbt/SQLMesh). Deliver production-ready data products (APIs, dashboards), instrumentation, experimentation infrastructure, and predictive/causal models to inform product, retention, pricing, and growth decisions.

Design and maintain a dbt-based business data layer for GTM metrics, centralize and reconcile multi-source data, implement automated data quality and reconciliation checks, align and document metrics with stakeholders, mentor analytics team, and lead root-cause investigations into complex data anomalies.

Lead audience, measurement, and tooling strategy for Dick's retail media. Define audience taxonomy, measurement standards, and automation roadmaps. Partner cross‑functionally to set requirements, influence product roadmaps, guide vendor selection, and develop talent—without owning campaign execution or implementation.

Design and architect robust ETL/data pipelines on cloud platforms. Build and automate data ingestion and preprocessing using Spark/Databricks, AWS Glue, Airflow. Implement warehousing architectures (EDW, DM, ODS, MOLAP/ROLAP), ensure SQL-based data quality, use version control, and deliver tested production pipelines while communicating with stakeholders.

Audit and reconcile marketing and lead data end-to-end, maintain campaign tracking and platform integrations, troubleshoot data flow issues, manipulate large datasets to identify discrepancies, coordinate with vendors and stakeholders, and recommend process improvements to ensure accurate marketing-to-intake reporting.

Build and maintain product analytics dashboards, validate and QA event tracking, translate event data into analytics-ready datasets, run funnels/cohorts/retention analyses, support A/B testing, and surface actionable product insights to Product, Growth, and Data stakeholders.

Cross-functional internship analyzing retail and platform data to identify trends and breakout brands, design and run growth experiments, support outreach and partnerships, and own editorial publishing from social cards to full reports. Partner daily with founders and the Data Team, with opportunities to work alongside Engineering.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Implement and manage data ingestion, enrichment, and integration for go-to-market teams. Clean and combine structured and unstructured sources, build automations and lightweight tools, integrate Clay outputs with the data warehouse, and partner with vertical stakeholders to create unified, actionable contact and lead views.