Top Senior Analysis Reporting Jobs in Boise, ID

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Design, build, and optimize Snowflake-based data platform: develop ELT pipelines, data models, governance, security, performance tuning, cost optimization, CI/CD, and advanced Snowflake features. Collaborate with stakeholders, mentor engineers, and deliver scalable data solutions for analytics.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Design, build, and maintain cloud data warehouse infrastructure and ETL pipelines on AWS. Create reports/dashboards, collaborate with analysts and stakeholders, model data for analytics, ensure data quality, automate processes, evaluate new technologies, and mentor junior engineers.

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

Lead analytics efforts by designing, validating, and deploying queries and reports, building visualizations, automating data processes, partnering with stakeholders including C-suite, documenting processes, performing root-cause analysis, and supporting projects across business, operations, and risk. Responsible for data warehousing practices, SQL/Python work, BI tool administration, and delivering insights to drive decision-making.