Top Remote Analysis Reporting Jobs in Raleigh, NC

Design, build, and operate end-to-end production data pipelines on GCP/BigQuery at scale. Optimize partitioning, clustering, query performance, and cost/slot management. Integrate and maintain ETL/ELT processes, legacy SQL Server reporting (stored procedures, SSRS), data validation/monitoring, and data modeling. Use intermediate Python for automation and work with BI tools (Power BI, Looker, Tableau). Champion AI tool adoption and mentor teammates while ensuring delivery and client alignment.

Set up and maintain client coding and reporting tables, audit accrual data, produce government and standard reports, and define client requirements for custom reporting. Collaborate with clients and internal teams, validate and update payroll/PSL data, and ensure data accuracy.

Own and build scalable analytics models, metric definitions, and dashboards (customer-facing and internal). Partner with engineering to design data flows and instrumentation (BigQuery, S3, PostHog). Translate stakeholder needs into analytics plans, triage requests, and surface insights via Looker/Observable. Set analytics stack direction and ensure data quality.

Lead a data engineering team building and operating NPR's data warehouse, pipelines, BI, and personalization systems. Responsibilities include people leadership, hiring, cross-functional collaboration, Agile delivery, technical design and code review, automation for developer experience, incident response, and vendor management.

Analyze business questions using SQL and Excel, build dashboards and reports, synthesize findings into clear presentations, and deliver actionable insights to senior stakeholders to drive strategy.

Develop and lead healthcare analytics and BI solutions for HIS products: design, code, and deliver enterprise-scale applications and dashboards, work with AWS data services and BI tools, support product development and troubleshoot reporting issues for global customers.

Serve as the technical owner for customer-facing data workflows and integrations: build pipelines, write SQL and Python scripts, deploy AI-powered workflows, manage APIs and Snowflake ingestion, and translate repeatable solutions into product requirements while supporting customer success and internal engineering.

Write and optimize complex SQL to analyze automotive marketing and inventory data; audit and standardize large datasets; investigate CRM/data discrepancies; build and maintain client-facing BI dashboards and reports; perform QA on datasets and reports; collaborate with US reporting team and fulfill ad-hoc data requests.

Design, build, and maintain enterprise data warehouses and lakes; implement ETL pipelines; optimize data models and performance; produce analytics and predictive models; create dashboards and visualizations; monitor data quality; document and collaborate with stakeholders to drive data-driven business solutions.

Perform ad hoc and ongoing data analysis to drive product decisions for CMS: implement and audit web analytics tagging, integrate Qualtrics and other qualitative sources, build dashboards and ETL pipelines, monitor system performance via Datadog, analyze user behavior (including LLM product metrics), and synthesize mixed-methods insights to inform the team.