Senior Data Intelligence Analyst — Power BI & AI/ML

ManpowerGroup Global Inc.; Eagan (MN); Presencial; USD 110.000 - 150.000; Jornada completa

Descripción de la vacante

ManpowerGroup is seeking a Data Intelligence Analyst in Minnesota, onsite, for a 12-month duration. The role focuses on developing scalable dashboards, optimizing data pipelines, and delivering AI-driven BI solutions to support digital transformation.

Responsibilities include building Power BI dashboards, pipelines with SQL/Python, leveraging Snowflake/Databricks/Azure Synapse, and integrating AI capabilities into enterprise workflows while ensuring data governance and self-service analytics.

Formación

• Bachelor's degree or higher in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field.

Responsabilidades

• 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.

Conocimientos

Power BI

SQL

Python

AI/ML

DAX

Data modeling

Cloud data platforms

Educación

Bachelor's degree or higher

Herramientas

Snowflake

Databricks

Azure Synapse

Microsoft Fabric

Salesforce

SAP

Descripción del empleo

ManpowerGroup is seeking a Data Intelligence Analyst in Minnesota, onsite, for a 12-month duration. The role focuses on developing scalable dashboards, optimizing data pipelines, and delivering AI-driven BI solutions to support digital transformation.

Responsibilities include building Power BI dashboards, pipelines with SQL/Python, leveraging Snowflake/Databricks/Azure Synapse, and integrating AI capabilities into enterprise workflows while ensuring data governance and self-service analytics.