Top Data & Analytics Jobs in Boise, ID

Analyze and audit labor activity and timecards, forecast labor needs using schedules, monitor workload trends, build dashboards and reports, and support staffing and workforce deployment decisions to align staffing with project schedules and productivity goals.

Produce GIS products and analyses to support client decisions: convert CAD to GIS formats, run geoprocessing and spatial analyses, manage file and enterprise geodatabases, create cartographic maps and reports, configure low-code web GIS applications, and manage online GIS users and content.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

Design, develop, and optimize T-SQL code and large-scale SQL Server database solutions. Perform index design and performance tuning, build stored procedures, views, and functions, and support SSIS/SSRS ETL and reporting. Provide technical leadership, collaborate with business analysts and IT staff, and assist with database administration practices (replication, backup/restore, clustering, log shipping).

Design, develop, and support SQL Server databases and related ETL/BI solutions (SSIS/SSRS). Implement database source control, CI/CD with TFS/SSDT, tune performance, maintain security, and collaborate with teams in an Agile/Scrum environment.

Serve as primary Snowflake administrator and data pipeline engineer: manage Snowflake security, performance, multi-account administration; design and maintain ingestion pipelines and curated data layers; enable AI agents and semantic views; activate/test Snowflake previews; document runbooks and train teams.

The Snowflake Data Acquisition and Integration Specialist designs and implements data extraction and loading solutions, works with various data platforms, and enhances analytics solutions.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).