Eden Prairie, MN

Salary
$84,800–$191,000from the description
Posted
Jul 28, 2026
Location
Eden Prairie, MN
Last confirmed open
Jul 29, 2026

What this job asks for AI summary

This role sits at the intersection of business intelligence, data architecture, and AI-enabled analytics at a large global logistics company. The engineer will design and own enterprise-scale semantic models, Power BI dashboards, and governed data assets on Snowflake and Azure, while integrating LLMs and automation tools to build conversational and self-service analytics experiences. It suits an experienced analytics engineer comfortable applying software engineering practices — Git, CI/CD, automated testing — to BI and data products, with a secondary mentorship and technical-leadership dimension.

Senior level · 8+ years · Minneapolis-St. Paul-Bloomington, MN-WI · Full-time

Advertised as Principal, but the requirements read as Senior.

Must have (15)
Power BISQLSnowflakeGitCI/CDPython or C#Azure Data Factory, Azure Functions, Logic Apps or Microsoft FabricLLMsMicrosoft Copilot or Azure AiMongoDB, Cosmos Db, Apache Cassandra or AWSPower PlatformPower AppsPower AutomateInfrastructure as CodeAzure
Nice to have (1)
dbt

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 1 people in the Minneapolis-St. Paul-Bloomington, MN-WI area plausibly meet what this posting asks for (database administrators). range 1–3

Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.

What gives you an edge
Power Apps4%Power Automate4%Power Platform5%Azure Data Factory8%Power BI10%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
SQL90%Python51%CI/CD45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $103,844 (middle half $72,786–$136,201). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.

Why we read it this way (9)

The title says 'Principal' but the actual requirements — 8+ years of experience, team-level mentorship, no stated org-wide authority — are consistent with a Senior-level role. The 'Principal' label appears to be a job-family title rather than a true org-wide technical authority designation.

The compensation range ($84,800–$191,000/year) is unusually wide and explicitly covers all U.S. locations; actual pay will vary significantly by geography.

Python and C# are listed as a single 'or' requirement in the Required Qualifications; Python is captured as the primary skill with C# as an alternative.

Azure cloud services (Azure Data Factory, Azure Functions, Logic Apps, Microsoft Fabric) are listed as a group of alternatives for cloud-native analytics; Azure Data Factory is used as the primary with the others as alternatives.

NoSQL databases (MongoDB, Cosmos DB, Cassandra, DynamoDB) are listed as a group of alternatives; MongoDB is used as the primary.

Microsoft Copilot, Azure AI, and OpenAI are listed as alternative platforms for LLM/AI integration; Microsoft Copilot is used as the primary.

Infrastructure as Code is listed in Required Qualifications with the qualifier 'Familiarity with' — this is softer language than the rest of the required block, but it appears under the Required Qualifications heading and is retained as a hard gate per section-placement rules.

The role's primary location is not explicitly stated beyond 'all U.S. locations' in the compensation note; C.H. Robinson is headquartered in Eden Prairie, MN (Minneapolis CBSA). Remote status is not confirmed in the posting.

SOC classification is a genuine judgment call: the role blends BI/reporting analytics (15-2031) with data/semantic modeling and pipeline architecture (15-1243). The BI, dashboard, and insight-delivery emphasis edges it toward 15-2031, with 15-1243 as a close runner-up.

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