Top Remote Data & Analytics Jobs in Boise, ID

Analyze state-level business performance, market trends, and competitive intelligence to inform pricing, product, underwriting, and risk management strategies. Partner with cross-functional teams, lead small projects, monitor performance against plans, and communicate actionable insights to drive profitable growth and continuous improvement.

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.

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.

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.

Lead architecture, operation, and continuous improvement of cloud-native, enterprise-scale data platforms (Snowflake, cloud storage, streaming). Translate requirements into roadmaps, design and optimize data warehouses and lakes, automate operations with Python and IaC, mentor engineers, and deliver managed services across multiple client accounts while driving reliability, security, and performance.

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.

Execute underwriting and case-valuation analytics: write and optimize SQL, build dashboards, maintain valuation models, forecast case outcomes, monitor portfolio performance, and translate insights for operational and marketing stakeholders.