IT Analyst III

Manpower
Saint Paul, MN, United States
20 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Information Systems Information Engineering Data Governance Data Intelligence JSON Python (Programming Language) Machine Learning Meta-Data Management Power BI
+21 more
OpenAI Cloud Services Microsoft Copilot Salesforce.Com SAP (Applications) SQL Databases Enterprise Software Applications Retrieval-Augmented Generation Snowflake Generative AI Agentic-AI Pandas Microsoft Fabric Pyspark Information Technology Data Lineage Data Analytics Data Management Azure Synapse Analytics Data Pipelines Databricks

Job 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.

Requirements

  • 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.

About the company

About ManpowerGroup, Parent Company of: Manpower, Experis and Talent Solutions

Experis is a global leader in technology services and part of the ManpowerGroup (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup’s 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World’s Most Ethical Companies. Learn more at Experis.com.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee’s race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

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