Analytics Platforms Analyst

Simplot•Boise, ID
•Onsite

About The Position

The Analytics Platforms Analyst strengthens how Simplot uses data to improve decisions and work efficiency. The role enables business users to create and use secure, efficient reports, dashboards, and data models in Power BI and Microsoft Fabric, based on trusted data. The analyst partners with business users and IT data engineering to define use cases, recommend tools and architecture, and co-develop solutions. As a senior individual contributor on a small team, the analyst helps establish enterprise standards, monitors the health and cost of the analytics environment, and develops training, templates, and guides to help users work independently. The role also evaluates new Power BI and Fabric capabilities, including embedded Copilot features, and assesses their value and readiness for Simplot. Curiosity, initiative, and continued learning are important as the technology evolves.

Requirements

  • Expertise developing solutions in Power BI or similar tools, typically 5 or more years.
  • Experience supporting, training, or coaching business users.
  • Ability to work effectively with cross-functional teams.
  • Structured and process-oriented, with the ability to adapt to evolving technologies and business needs.
  • Bachelor's degree (B.A. or B.S.) from a four-year college or university.

Nice To Haves

  • Power BI workspace and capacity management and self-service governance practices.
  • Experience with Microsoft Fabric, Databricks, Azure Data Lake, or other enterprise data platforms.
  • Experience creating training content or leading workshops.

Responsibilities

  • Help users scope use cases and choose appropriate tools and architecture, including Power BI, Fabric, and Excel.
  • Coach users on building reports, semantic models, and dashboards that align with best practices.
  • Connect users to trusted enterprise data models.
  • Create training materials, how-to guides, and design templates.
  • Support Power BI and Fabric questions and incidents, and improve support practices.
  • Define and maintain Power BI and Fabric standards, including architecture patterns, user tiers, design practices, and ownership.
  • Monitor capacity and usage, identify outdated or poorly performing content, and work with business and data engineering teams to resolve issues.
  • Explore new Power BI, Fabric, and Copilot capabilities and pilot promising capabilities.
  • Use adoption data and user feedback to guide future investment.
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