Analytics Platforms Analyst

Simplot • Boise, ID • 3h ago

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For more than 90 years, Simplot Company has grown as a family-owned, privately held global food and agriculture company. Our diverse businesses span agriculture, food production, manufacturing, mining, plant and animal sciences, ranching and cattle production, logistics, and transportation, connecting many of the essential steps that bring food from the earth to communities around the world.

That diversity creates strength, stability, and opportunity. Across our global business, employees can build new skills, explore different career paths, and contribute to meaningful work in a culture where safety is foundational.

Whatever your role, your work at Simplot contributes to something bigger. Join us to grow your career, make an impact, and help shape the future of food and agriculture.

Summary

As the Analytics Platforms Analyst, you will strengthen how Simplot works with data to improve decisions and make work more efficient. You will enable business users to build and use reports, dashboards, and data models in Power BI and Microsoft Fabric that are secure, efficient, and built on trusted data.

You will partner with business users and IT data engineering to define use cases, recommend the right tools and architecture, and co-develop solutions. As a senior individual contributor, you will help set enterprise standards, monitor the health and cost of the environment, and build the training, templates, and guides that let users succeed on their own. You will also evaluate new Power BI and Fabric capabilities, including embedded Copilot features, and determine which are ready and valuable for Simplot.

This work is shared across a small team, and no one is expected to be an expert in every area. What matters most is curiosity, initiative, and a willingness to keep learning as the technology changes quickly.

Typical Education

Bachelor's Degree (B.A. or B.S.) from 4 year college or university

Key Responsibilities

Enable business users

Help users scope use cases and choose the right tool and architecture (Power BI, Fabric, 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 how we provide that support

Manage the environment

Define and maintain Power BI and Fabric standards, including architecture patterns, user tiers, design practices, and ownership

Monitor capacity and usage, flag outdated or poorly performing content, and work with business and data engineering teams to resolve it

Shape what's next

Explore new Power BI, Fabric, and Copilot capabilities, and pilot the ones that show promise

Use adoption data and user feedback to guide where we invest next

Required Experience

Expertise developing solutions in Power BI or similar tools (typically 5+ 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

Preferred Qualifications

Power BI workspace and capacity management, and self-service governance practices

Microsoft Fabric

Databricks, Azure Data Lake, or other enterprise data platforms

Creating training content or leading workshops

Other Information

This is a full-time onsite position reporting to Simplot HQ in downtown Boise, ID.

Job Requisition ID : 27812

Travel Required :

Location(s) : Simplot Headquarters - Boise

Country: United States

**The Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status.

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