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Data Modeling Jobs in Minnesota (NOW HIRING)

Pivot Bio

Director, Data Architect

Minnetonka, MN · On-site

$65 - $83.50/hr

Data modeling expertise: Dimensional modeling, normalized schemas, graph databases, and domain-driven design * Modern data stack: Databricks (preferred), ETL/ELT tools, streaming technologies, and BI ...

Pivot Bio

Director, Data Architect

Minnetonka, MN · On-site

$65 - $83.50/hr

Data modeling expertise: Dimensional modeling, normalized schemas, graph databases, and domain-driven design * Modern data stack: Databricks (preferred), ETL/ELT tools, streaming technologies, and BI ...

Pivot Bio

Director, Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

... models, and GenAI applications • Own data quality and availability across modeling, enrichment, and accessibility for all stakeholders • Validate architectures hands-on through POCs ...

Pivot Bio

Director, Data Architect

Minnetonka, MN · On-site

$65 - $83.50/hr

... models, and GenAI applications • Own data quality and availability across modeling, enrichment, and accessibility for all stakeholders • Validate architectures hands-on through POCs ...

HealthPartners

Data Analyst Senior

Bloomington, MN · On-site

$86.40K - $109K/yr

HealthPartners is hiring a Senior Data Analyst. POSITION PURPOSE: Our mission is to provide simple ... All team members must champion and model our values of partnership, curiosity, compassion ...

Kasmo Global

Data Governance Architect

Minneapolis, MN · On-site +1

$66.50 - $85.50/hr

Advanced knowledge of SQL, PySpark, and data modeling. Soft Skills: Strong communication, stakeholder management, and collaboration skills to work effectively with cross-functional teams

DLA Piper

Sr Data Analyst

Minneapolis, MN · Hybrid

$89.80K - $113.30K/yr

The Senior Data Analyst uses tools such as Power BI to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve data quality issues. This ...

Dlapiper

Sr Data Analyst

Minneapolis, MN · Hybrid

$89.99K - $143.09K/yr

The Senior Data Analyst uses tools such as Power BI to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve data quality issues. This ...

Diversity Nexus

Senior Data Architect

Minneapolis, MN · On-site

$70.25 - $94/hr

Data Modeling: Design, maintain, and evolve comprehensive data models (Conceptual, Logical, and Physical) for core business services and platforms. * Data Flow: Define and create data flow diagrams ...

Diverse Lynx

Data Bricks Devops Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Data Engineer * Strong understanding of ETL/ELT processes, data modeling, data warehousing, and big data concepts." Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified ...

Medica

Senior Data Analyst/Data Analyst III

Minnetonka, MN · On-site

$87.70K - $110.60K/yr

Establish accurate business and financial data definitions; produce audienceappropriate data models aligned to healthcare finance concepts * Coordinate with developers, ETL teams, QA analysts, and ...

Samprasoft

Data Engineer (LATAM)

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Familiarity with Snowflake technologies and its architecture, expertise in data modeling, schema design, and optimization techniques. Practical experience with Apache Spark for large-scale data ...

Software Technology Inc

Data Engineer (LATAM)

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Familiarity with Snowflake technologies and its architecture, expertise in data modeling, schema design, and optimization techniques. Practical experience with Apache Spark for large-scale data ...

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See Minnesota salary details

$10

$57

$81

How much do data modeling jobs pay per hour?

As of May 28, 2026, the average hourly pay for data modeling in Minnesota is $57.50, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $66.88 per hour, depending on experience, location, and employer.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Data Modeling position, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are the four types of data modeling?

Data modeling in data analysis and database design typically includes four main types: conceptual, logical, physical, and dimensional modeling. Conceptual models define high-level data structures, logical models specify detailed structures without physical considerations, physical models translate logical models into actual database schemas, and dimensional models are used in data warehousing for analytical purposes. Data modelers often use tools like ER diagrams and require understanding of database systems and business requirements.
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Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Minnesota as of May 2026, with employment types broken down into 2% Internship, 75% Full Time, 18% Part Time, 3% Temporary, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $119,608 per year, or $57.5 per hour.
Data and Analytics Technical Lead

Data and Analytics Technical Lead

Legrand AV, Inc.

Eden Prairie, MN • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Data and Analytics Technical Lead
Location US-West Hartford | US-Remote
# Positions 1
Experience (Years) 7
Category Information Technology
Position Description

At a Glance

Legrand has an exciting opportunity for a Data and Analytics Technical Lead to join the Data Center Power and Control Division Team. This is a remote position. The Data and Analytics Technical Lead will drive the design, development, and maintenance of our enterprise data warehouse solutions. The ideal candidate will have deep expertise in SAP BW/4HANA, SAP Data Sphere, Power BI reporting, and data integrations with Salesforce and SQL Server environments, strong data modeling skills, and the ability to work closely with business stakeholders and offshore teams to deliver scalable reporting and analytics solutions. This role will also lead the migration from legacy SAP BW to SAP Datasphere and drive adoption of Microsoft Fabric, Azure Synapse, and Microsoft AI/Copilot capabilities within the analytics ecosystem.

What Will You Do?

Technical Leadership & Architecture:

    Lead the design and development of SAP BW and Data Sphere data models, data flows, transformations, and queries.
  • Architect and maintain BW data models (InfoProviders, ADSOs, Composite Providers, Open ODS views, etc.).
  • Ensure optimal performance of data loads and reporting by following SAP best practices.
  • Guide integration between SAP BW and external systems such as Salesforce, SQL Server, Power BI, or other data lakes/warehouses.

Platform Migration & Modernization:

  • Lead the end-to-end migration from legacy SAP BW/BW4HANA to SAP Datasphere, including assessment, data model conversion, delta migration, and cutover planning.
  • Architect hybrid data flows connecting SAP Datasphere with Microsoft Fabric and Azure Synapse Analytics to enable unified analytics across SAP and non-SAP data domains.
  • Integrate Microsoft Copilot, Azure OpenAI, and AI Builder capabilities into reporting and analytics workflows to deliver intelligent, AI-augmented insights to business users.
  • Define and enforce data migration standards, validation frameworks, and reconciliation processes to ensure data integrity during and after platform transitions.

Project Delivery:

  • Manage BW-related deliverables across multiple projects from requirements through implementation.
  • Define technical solutions in collaboration with functional teams and enterprise architects.
  • Conduct code reviews and enforce technical standards and best practices.

Stakeholder Engagement:

  • Interact with business users to gather reporting and analytics requirements.
  • Translate business requirements into technical solutions within SAP BW.
  • Present prototypes and final deliverables to business and IT stakeholders.

Team Collaboration:

  • Lead and mentor offshore development teams; assign tasks and review deliverables.
  • Ensure timely execution and quality assurance of all development activities.
  • Serve as the escalation point for BW-related issues and performance challenges.
Qualifications

Required Skills

  • 7+ years of experience in: BW/4HANA
  • Strong expertise in:
    • InfoObjects, ADSOs, CompositeProviders, Open ODS Views, Transformations, DTPs, Process Chains
    • Query Designer / BW Queries / Analysis for Office
  • Proficient in ABAP for BW for custom logic, routines, and enhancements.
  • Experience integrating BW with SAP ECC, S/4HANA, Salesforce, and external databases (SQL Server, etc.).
  • Strong knowledge of data warehousing concepts and data modeling.
  • Experience with Power BI or other frontend tools connected to BW is a plus.
  • Strong analytical, debugging, and performance tuning skills.
  • Hands-on experience with SAP Datasphere or demonstrated experience migrating from SAP BW/BW4HANA to a modern SAP data platform.
  • Working knowledge of Microsoft Fabric, Azure Synapse Analytics, and Azure Data Factory for hybrid data warehouse and lakehouse architectures.
  • Familiarity with Microsoft Copilot for Power BI, Azure OpenAI Service, and AI Builder to embed AI-driven analytics and natural language querying into business reporting.

Preferred Qualifications

  • Exposure to Azure, SAP Datasphere, or cloud integration scenarios.
  • Experience with SAP BW-to-Datasphere migration tools and methodologies, including the use of SAP's migration cockpit and data migration objects.
  • Familiarity with Microsoft Purview for data governance and lineage across SAP and Microsoft platforms.
  • Understanding of generative AI and large language model (LLM) use cases applied to enterprise analytics, including natural language querying, automated insight generation, and AI-assisted data preparation.

Skills/Knowledge

  • Excellent communication and interpersonal skills
  • Strong leadership and mentoring capabilities
  • Ability to manage multiple priorities in a fast-paced environment
  • Proactive problem-solver with strong attention to detail
Company Info

About Legrand

Legrand is the global specialist in electrical and digital building infrastructures. Our comprehensive offering of solutions for residential, commercial, and data center markets makes us a benchmark for customers worldwide. We harness technological and societal trends with lasting impacts on buildings with the purpose of improving life by transforming the spaces where people live, work, and meet with electrical and digital infrastructures and connected solutions that are simple, innovative, and sustainable. Legrand is a global, publicly traded company listed on the Euronext (Legrand SA EPA: LR). For more information, visit www.legrandgroup.com/en

About Legrand North and Central America

Legrand, North & Central America (LNCA) is a leader in the AV, Lighting & Controls, Electrical, and Data Center markets. LNCA offers comprehensive medical, dental, and vision coverage, as well as distinctive benefits like a high employer 401K match, paid time off (PTO) and holiday pay, short-term and long-term disability benefit plans, above-benchmark paid maternity and parental leave, bonus opportunities in accordance with the Company's incentive plans, paid time off to volunteer, and an active/growing Employee Resource Group network. For more information, visit legrand.us

About Legrand's Data Center Power and Control Division

The industry-leading brands of Approved Networks, Ortronics, Raritan, Server Technology, and Starline empower Legrand's Data, Power & Control to produce innovative solutions for data centers, building networks, and facility infrastructures. Our division designs, manufactures, and markets world-class products for a more productive and sustainable future. The exceptional reliability of our technologies results from decades of proven performance and a dedication to research and development.

http://www.legrand.us

http://www.youtube.com/legrandna

http://www.linkedin.com/company/44580

http://twitter.com/legrandNA

Equal Opportunity Employer

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