> Markdown version of [/jobs/ext/4199577-it-analyst-iii](https://www.wearedevelopers.com/jobs/ext/4199577-it-analyst-iii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# IT Analyst III

- **Company:** Experis
- **Location:** Eagan, MN, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Data Governance, Meta-Data Management, OpenAI, Microsoft Copilot, Retrieval-Augmented Generation, Snowflake, Generative AI, Agentic-AI, Data Lineage, Azure Synapse Analytics, Databricks
- **Published:** October 12, 2026
- **Apply:** https://www.experis.com/en/job/414687/it-analyst-iii

## About the Role

+ Bachelor's degree or higher in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field.
 + 7+ years of experience in data analytics, business intelligence, data engineering, or data science.
 + Strong Power BI experience, including DAX, data modeling, and dashboard development.
 + Proficiency in SQL and Python or R.
 + Experience with modern cloud data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric.
 + Hands-on experience developing, implementing, or supporting AI/ML solutions., + Master's degree in a relevant technical or quantitative field.
 + Experience with Generative AI, RAG, AI agents, Copilot, or Azure OpenAI.
 + Knowledge of data governance, data lineage, and metadata management.
 + Experience in healthcare, regulatory, or other regulated environments.

## Description

We are seeking an experienced Data Intelligence Analyst with strong expertise in Power BI, SQL, Python, cloud data platforms, and AI/ML. The ideal candidate will develop scalable dashboards, optimize data pipelines, and implement AI-driven solutions to support business intelligence and digital transformation initiatives., + Design and develop Power BI dashboards, reports, and semantic models using DAX and data modeling.

 + Build and optimize data pipelines using SQL, Python, Pandas, or PySpark.
 + Work with cloud data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric.
 + Develop and support AI/ML solutions for predictive analytics, forecasting, and anomaly detection.
 + Integrate Generative AI, AI agents, and copilots into enterprise workflows.
 + Develop API- and JSON-based integrations with enterprise systems such as Salesforce and SAP.
 + Support data governance, data quality, metadata management, and responsible AI practices.
 + Collaborate with cross-functional teams to deliver actionable insights and enable self-service analytics.