Top Remote Data & Analytics Jobs in Raleigh, NC

Lead hands-on development and validation of travel demand models and transit forecasts using statistical and programming tools; manage projects, client relationships, and staff; support business development and present technical findings.

Support Sales and Key Account teams by owning trade performance reporting, building dashboards, analysing promotional ROI, preparing category presentations for range reviews, and collaborating with Marketing, Supply Chain, and Finance to drive commercial decisions.

The Technical Enablement & Documentation Lead is responsible for developing and maintaining product documentation, creating a certification program, and collaborating with teams to improve the knowledge experience for Flosum's users.

As a Curriculum Manager, you'll create and manage cloud education content, collaborating with experts, utilizing AI tools, and addressing curriculum gaps.

Own product telemetry, maintain dbt models in Snowflake, support self-service reporting and NLP queries, drive product insights from user and retention data, and monitor Airbyte syncs to ensure data quality.

Design and own end-to-end data platform architecture, build ingestion and transformation pipelines, model multi-tenant datasets, optimize Postgres and ClickHouse performance/cost, implement orchestration and observability, define data quality and reconciliation standards, and mentor data/product engineers.

The Fraud Analyst monitors transactions for suspicious activity, uses fraud detection tools, documents findings, communicates with clients, and supports the Risk & Compliance team.

Build and maintain data marts, materialized views, and ETL/ELT pipelines in an AWS-hosted data lake. Design and optimize data workflows, monitor infrastructure health and data quality, support PostgreSQL migrations, collaborate with cross-functional teams, and ensure compliance with federal data security (FISMA/NIST 800-53).

Lead cross-functional analytics and reporting efforts: build and maintain dashboards and automated reports, extract/clean large datasets from ERP/eCommerce/operational systems, define KPI governance, support forecasting and budgeting, improve data pipelines, and deliver actionable insights to inform strategic and operational decisions.

Ensure engineering teams build the right work by producing high-quality context, maintaining AI-driven documentation, writing and validating SQL analyses and recurring reports, prototyping proofs-of-concept, and capturing acceptance criteria, edge cases, and measurable outcomes.