Top Data & Analytics Jobs in Boise, ID

Part-time Video Coordinator supporting professional hockey coaching staff through live game coding, opponent scouting, player development clips, practice video organization, special teams analysis, and video library management. The role requires hockey knowledge, video analysis software experience, strong technology and organizational skills, discretion, and availability for games, practices, evenings, and weekends.

Deliver strategic, data-driven insights supporting sales objectives for Walmart and Sam’s Club. Build client relationships, create sales presentations, analyze syndicated and internal data, manage reporting across clients and categories, standardize best practices, and mentor one analyst. The role requires advanced business application proficiency, strong communication, project management, and the ability to translate consumer and market trends into actionable recommendations.

Leads business insights for Walmart and Sam’s Club clients by developing strategic, data-driven sales presentations and reporting. Uses syndicated, loyalty, consumer, and internal data to influence business strategies and merchant action. Builds client relationships, manages multiple projects, standardizes analytical best practices, and mentors one analyst. Tracks retail and consumer trends while communicating insights that support sales growth.

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.

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).

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Design, build, and maintain scalable big data pipelines, architectures, distributed databases, and storage systems. Use Python and frameworks such as Hadoop, Spark, or Flink for data integration, transformation, and processing. Ensure system performance, availability, security, governance, and data quality while collaborating with cross-functional teams and documenting technical solutions.

Designs and optimizes Power BI dashboards, semantic models, datasets, DAX measures, and reporting solutions for identity governance and administration analytics. Partners with ETL engineers and stakeholders to validate Parquet data from Azure Synapse and SailPoint sources, establish data-quality checks, monitor refreshes, define KPIs, and document data lineage. Supports compliance reporting, access governance, audit readiness, certification metrics, and Zero Trust analytics.