Business Intelligence Manager

ION SOLAR LLCOrem, UT
1d

About The Position

Business Intelligence Manager Overview: The Business Intelligence (BI) Manager is responsible for transforming company data into actionable insights that support strategic decision-making and operational efficiency. This role oversees the development of dashboards, reporting infrastructure, and data analytics that empower leadership, sales, operations, and finance teams to make data-driven decisions.

Requirements

  • Bachelor’s degree in Business, Data Analytics, Information Systems, Statistics, or a related field.
  • 5+ years of experience in business intelligence, data analytics, or related roles.
  • Strong proficiency in SQL and experience with BI visualization tools (Power BI, Tableau, Looker, etc.).
  • Experience working with CRM systems and operational data sources (e.g., Salesforce).
  • Strong analytical thinking and problem-solving skills.
  • Ability to communicate complex data insights clearly to non-technical stakeholders.

Nice To Haves

  • Experience managing analysts or leading cross-functional analytics initiatives preferred.

Responsibilities

  • Lead the design, development, and maintenance of business intelligence dashboards and reporting tools.
  • Analyze large datasets to identify trends, performance drivers, and opportunities for improvement.
  • Partner with cross-functional teams (Sales, Operations, Finance, Marketing) to define key metrics and reporting needs.
  • Build and maintain scalable data models and automated reporting systems.
  • Ensure data accuracy, integrity, and governance across internal reporting systems.
  • Translate complex data findings into clear insights and recommendations for leadership.
  • Manage BI tools and platforms (e.g., Tableau, Power BI, Looker, Salesforce reporting, SQL databases).
  • Lead and mentor BI analysts or data team members as the team grows.
  • Support forecasting, performance tracking, and strategic planning initiatives.
  • Identify opportunities to improve operational processes through data analysis and automation.
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