Top Senior Data & Analytics Jobs in Boise, ID

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.

The role involves designing reports and dashboards for HR metrics using Power BI. It requires analyzing HR data, ensuring data quality, and collaborating with stakeholders. The position also includes supporting junior team members and maintaining data platforms.

The role involves leading data engineering and analytics teams, optimizing data systems, collaborating on data pipelines, and managing data infrastructure projects.

Partner with Product and Engineering to turn product data into insights: define AI/agent metrics, design and analyze experiments, build dashboards and reports, perform cohort and behavioral analysis, surface opportunities, and guide product decisions with measurement and instrumentation improvements.

Lead development and ownership of end-to-end data pipelines and platform tools. Build and optimize ingestion, transform data with dbt and Jinja, implement monitoring/alerting, manage deployments and CI/CD, and create self-service analytics applications and internal tooling.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

Lead BI work for Encounter Submissions, analyze and visualize Medicare submission metrics, track HCC identification and closure, provide executive insights, advise cross-functional teams, and manage a team of five data analysts to deliver actionable analytics and reporting.

Lead financial analytics for risk adjustment by integrating and modeling multiple healthcare data sources to identify variances and trends, deliver insights to leadership, and support strategic planning. Works independently on complex financial and actuarial analyses.

Partner with business teams to define analytics needs, perform data exploration, modeling, and statistical analysis, build forecasts and dashboards, and present actionable insights. Support data stewardship, metadata management, and collaborate with analytics teams to improve data models and decision-making.

Partner with Product, Design, Engineering, and Data to define KPIs and measurement for AI-powered features, guide instrumentation, design and evaluate experiments, build dbt models, create dashboards, and influence product analytics standards and long-term strategy.

Lead architecture and execution of Grafana's marketing data stack and analytics practice. Build forecasting, predictive, and causal models, design BigQuery schemas, deploy agentic AI and automated pipelines, partner with GTM leadership, and deliver executive-grade insights to drive demand generation and ROI.

Develop and manage tariffs and pricing strategies across the energy portfolio. Analyze data and market trends, monitor competitors, produce insights to inform commercial decisions, lead pricing projects, improve pricing processes and tools, and collaborate with stakeholders to ensure compliant, competitive, and profitable products.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.