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Manager Data Analytics Engineer Jobs in Minneapolis, MN

C4 Technical Services

Senior Databricks

Chanhassen, MN · On-site

$124K - $164K/yr

We are seeking a Senior Databricks Analytics Engineer to help design and build a new Databricks-based analytics platform from the ground up. * This individual will work closely with Data & AI ...

Lorven Technologies

Data Analyst

Minneapolis, MN · On-site

... as an Analytics Engineer • Dataset management and data pipeline development • Demonstrates solid expertise in data visualization and dashboard creation • Skilled in data extraction ...

Apogee

Data Platform Engineer

Minneapolis, MN

$80K - $100K/yr

This Data Platform Engineer will fill a critical role in enhancing and supporting the Data ... Configure and implement data management and analytic platform changes * Document data pipeline ...

APOG

Data Platform Engineer

Minneapolis, MN · On-site

$80 - $100/hr

This Data Platform Engineer will fill a critical role in enhancing and supporting the Data ... Configure and implement data management and analytic platform changes* Document data pipeline ...

3M

Senior Manager - Data Engineering

Maplewood, MN

Senior Manager - Data Product Engineering Collaborate with Innovative 3Mers Around the World ... Self-service analytics and real-time operational decision making What This Role Does Not Do * Own ...

SYSCOM, Inc.

Product Manager - Data

Saint Paul, MN · On-site +1

Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable ...

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3M

Senior Manager - Data Engineering

Maplewood, MN · On-site

Senior Manager - Data Product Engineering Collaborate with Innovative 3Mers Around the World ... Self-service analytics and real-time operational decision making What This Role Does Not Do * Own ...

Pwc

Data Engineer - Senior Manager

Minneapolis, MN · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Emerson

Data Analytics Intern

Shakopee, MN

$20.50 - $24/hr

Pursuing a bachelor's degree in Data Analytics, Information Technology, Computer Science, Management Information Systems, Business Analytics, or a related field * Zero (0) years of related experience

New

Emerson

Data Analytics Intern

Shakopee, MN · On-site

$20.50 - $24/hr

Pursuing a bachelor's degree in Data Analytics, Information Technology, Computer Science, Management Information Systems, Business Analytics, or a related field * Zero (0) years of related experience

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Showing results 21-40

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Minneapolis, MN

Manager Data Analytics Engineer information

See Minneapolis, MN salary details

$46.4K

$135.4K

$185.3K

How much do manager data analytics engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for manager data analytics engineer in Minneapolis, MN is $135,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Minneapolis, MN?

The most popular types of Data Analytics Engineer jobs in Minneapolis, MN are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Minneapolis, MN?

For Manager Data Analytics Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Minneapolis, MN look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Manager Data Analytics Engineer jobs?

Cities near Minneapolis, MN with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $135,398 per year, or $65.1 per hour.

Senior Manager, Data Engineering & Analytics

Trystar Inc

Burnsville, MN • On-site

$170K - $215K/yr

Full-time

Re-posted 7 days ago

Trystar rating

8.3

Company rating: 8.3 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

118th of 496 rated machine equipment manufacturers

Job description

Job Title: Senior Manager of Data Engineering & Analytics 


Job Description:


Trystar is at the forefront of advancing power solutions, charged and driven by a committed, dynamic team, tackling complex challenges, and creating innovative solutions. We’re looking for motivated, driven, and talented individuals eager to be part of the future of power. Safety and integrity aren’t just buzzwords, they are the north star guiding us as we aspire to wow our customers every day. We’ve created power solutions that are not only durable and unique but are also the result of exciting teamwork from every corner of our organization.

Individually and collectively, every team member at Trystar plays for each other and strives to deliver unmatched value and 100% accuracy to our customers every single day. Our cutting-edge headquarters is in Faribault, MN, a facility that is partially solar and wind powered by our own microgrid! Together, we are Trystar, where we power the future and nurture innovation for a brighter tomorrow. 

Trystar’s team members are our most important asset, and we are in search of a Senior Manager of Data Engineering & Analytics based at our Burnsville office. 

Reporting to the Head of Digital, the Senior Manager of Data Engineering & Analytics will be building something from the ground up, and we need someone who thrives in that environment: moving fast, rallying people, and delivering real business outcomes without waiting for perfect conditions! 

This role requires a credible enterprise leader who can influence across functions — from manufacturing operations and supply chain to finance and executive leadership — earning trust through expertise, communication, and results.


We are looking for people who believe in our guiding principles and values of:

  • Safety – We believe everyone should leave Trystar facilities in the same or better condition than when they arrived.
  • Integrity – We’re honest, transparent, and committed to doing what’s right.
  • Customer focus – We have relentless focus on our customers and their success.
  • Right with speed – We use good judgement, make thoughtful decisions quickly, and execute them with purpose and intensity.
  • Play for each other – We’re a team. We show up for each other and we know that through teamwork we achieve greatness.
  • Champion change – We know adaptation and improvement are requirements to survive and to thrive.
  • Enjoy the journey – We create an environment where our team feels appreciated and has fun along the way.



 In this role you will get to:


Enterprise Data Strategy & Architecture

  • Define and execute Trystar’s enterprise data strategy aligned with business objectives, leveraging Microsoft Fabric as the core analytics and data platform.
  • Design and own the enterprise data architecture, including OneLake, Lakehouse, Data Warehouse, and data integration patterns within the Fabric ecosystem.
  • Establish and enforce a scalable data governance framework — including data quality standards, data cataloging, master data management, metadata management, and data lineage.
  • Define data ownership, stewardship roles, and policies across the organization.

Data Engineering & Analytics

  • Build and manage modern data pipelines with medallion architecture using Microsoft Fabric Pipelines, and related services.
  • Oversee the development of semantic models, Power BI reports, dashboards, and self-service analytics capabilities that drive decision-making across the business.
  • Ensure data solutions are performant, secure, and cost-optimized — monitoring capacity, refresh schedules, and resource consumption.
  • Deliver analytics solutions that serve manufacturing, supply chain, finance, sales, and executive stakeholders with timely, trusted data.

Team Building & Leadership

  • Recruit, develop, and lead a high-performing team of internal data professionals (engineers, analysts, architects) and manage external contractors and consultants.
  • Set clear expectations, provide regular coaching, and create development plans that grow individual contributors into stronger practitioners.
  • Foster a team culture grounded in accountability, collaboration, and continuous improvement — one that reflects Trystar’s Play For Each Other value.

Change Management & Cross-Functional Influence

  • Be a Champion for the adoption of data-driven decision-making across the organization. Lead change management efforts to shift mindsets, behaviors, and processes toward enterprise data maturity.
  • Build strong partnerships with leaders across operations, engineering, finance, sales, and supply chain to understand their data needs and deliver solutions that create measurable value.
  • Communicate complex data concepts in clear, business-friendly language to stakeholders at all levels, including executive leadership.
  • Serve as a trusted advisor to the Senior Leadership on data strategy, emerging technologies, and platform investments.



Qualifications: 


  • Bachelor’s degree in computer science, Information Systems, Data Science, Engineering, or a related field.
  • 8+ years of progressive experience in enterprise data management, spanning data governance, data architecture, data engineering, and data analytics.
  • 3+ years of people leadership experience, including managing both FTEs and contractors/consultants.
  • Deep, hands-on expertise in implementing medallion architecture with Microsoft Fabric, Databricks or Similar platform— including OneLake, Lakehouse, Data Warehouse, Data Factory, Synapse Data Engineering, and Power BI.
  • Strong command of data modeling (dimensional, entity-relationship, semantic), ETL/ELT design patterns, and data quality frameworks.
  • Proficient in writing SQL, Pyspark, and DAX. 
  • Demonstrated ability to build and scale data teams and capabilities in a fast-paced, growth-oriented environment.
  • Proven track record of leading organizational change management related to data and analytics adoption.
  • Excellent communication skills with the ability to influence senior leaders and translate technical concepts into business outcomes.

 

Preferred skills:

  • Master’s degree in a related field.
  • Experience in a manufacturing, industrial, or supply chain environment.
  • Experience with ERP, CRM & other SAAS systems.
  • Microsoft certifications in Fabric Analytics Engineer (DP-600), Azure Data Engineer (DP-203), or Power BI Data Analyst (PL-300).
  • Familiarity with ERP data environments (e.g., Epicor, SAP, or similar).
  • Experience with real-time analytics, streaming data, and IoT data integration.
  • Background in implementing data governance tools such as Microsoft Purview.
  • Experience operating in a private equity-backed or high-growth company where speed and accountability are paramount.
  • Working knowledge of Agile or Scrum delivery methodologies in a data context.



 Additional Information:

  • Position may require up to 10% travel 
  • This is not a “maintain what exists” role. Trystar is in a transformational moment — backed by Blackstone, scaling rapidly, and investing in the digital and data capabilities to match. The Senior Manager of Data Engineering & Analytics will have the mandate and the support to build Trystar’s data function the right way, with real executive sponsorship and a direct line to Digital & IT leadership. If you’re the kind of leader who would rather build than inherit — and you can do it at speed — this is your opportunity.





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