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# IT Data Analyst

- **Company:** Experis
- **Location:** Eagan, MN, United States
- **Experience:** Expert
- **Salary:** $104,000.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Information Engineering, Data Visualization, Power BI, SQL Databases, Data Ingestion, Microsoft Fabric, Data Analytics, Azure Synapse Analytics, Databricks, Programming Languages
- **Published:** September 22, 2026
- **Apply:** https://www.experis.com/en/job/407501/it-analyst-iii

## About the Role

Our client, a leading organization in the healthcare and regulatory sector, is seeking an IT Data III to join their team. As an IT Data Analyst , you will be part of the Data & Analytics Department supporting innovative data-driven initiatives. The ideal candidate will demonstrate strong analytical skills, collaborative spirit, and a proactive approach, which will align successfully within the organization., + Bachelor's degree or higher in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field from an accredited institution.

 + Seven or more years of experience in data analytics, business intelligence, data engineering, or data science roles with proven impact delivering data-driven insights.
 + Hands-on experience with data visualization tools such as Power BI, including DAX, data modeling, and dashboard design; familiarity with Power BI Fabric, Copilot, or embedded analytics is a plus.
 + Proficiency in SQL and at least one programming language (preferably Python) for data manipulation, automation, and analysis.
 + Experience working with modern data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric, including data ingestion and transformation processes.

## Description

+ Design, develop, and deploy scalable dashboards and semantic models in Power BI, leveraging advanced features such as Dataflows Gen2, Direct Lake, and AI visuals.
 + Develop and optimize data pipelines using SQL, Python (Pandas/PySpark), and modern scripting frameworks to enable ingestion, transformation, and analysis of structured and unstructured data.
 + Architect and manage cloud data solutions utilizing Snowflake, Azure Synapse, Microsoft Fabric, or Databricks, ensuring high-performance data modeling and efficient ingestion for analytics and AI use cases.
 + Build and integrate AI/ML-driven insights, including predictive analytics, anomaly detection, and natural language query capabilities, utilizing platforms such as Azure OpenAI or AWS Bedrock.
 + Collaborate with cross-functional teams to define data products, KPIs, and AI-driven insights that support healthcare and regulatory operations, ensuring data quality and governance standards are met.
What's Needed?


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