ZipRecruiter

Log In

1

Manager Data Analytics Engineer Jobs in Maple Grove, MN

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 ...

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 ...

US Bank

Data Analytics - Operations

Saint Paul, MN · Hybrid

$87K - $109K/yr

Manage multiple analytics initiatives while balancing priorities and deadlines * Ensure data quality, integrity, and adherence to governance standards * Continuously improve reporting processes and ...

Ameriprise Financial

Adobe Analytics Engineer

Minneapolis, MN · On-site

$86K - $114K/yr

Work closely with customers, business analysts, technology, and project teams to understand ... data handling. * Familiarity with the agile process and effectively apply best practices to manage ...

B Capital

Senior Manager, Data Products

Maple Grove, MN · On-site

$125.80 - $239/hr

The Senior Manager, Data Products role owns the vision and roadmap for our Snowflake-based ... Build trusted partnerships across Commercial Analytics, IT Data Engineering, Sales Operations ...

New

Ameriprise Financial

Adobe Analytics Engineer

Minneapolis, MN · On-site

$86K - $114K/yr

Work closely with customers, business analysts, technology, and project teams to understand ... data handling. * Familiarity with the agile process and effectively apply best practices to manage ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN · On-site

$77K - $202K/yr

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

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Five or more years of professional experience in data engineering, analytics and reporting, or related role * Hands-on experience managing and analyzing data in financial services (e.g. financial ...

previous pagenext page

Showing results 21-40

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Maple Grove, MN

Manager Data Analytics Engineer information

See Maple Grove, MN salary details

$45.6K

$132.8K

$181.8K

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

As of Aug 8, 2026, the average yearly pay for manager data analytics engineer in Maple Grove, MN is $132,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $140,800.00 per year, depending on experience, location, and employer.

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.

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 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.
What job categories do people searching Manager Data Analytics Engineer jobs in Maple Grove, MN look for? The top searched job categories for Manager Data Analytics Engineer jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Manager Data Analytics Engineer jobs? Cities near Maple Grove, MN with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

Principal Analytics Engineer - Analytics & AI

C. H. Robinson

Eden Prairie, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

C.H. Robinson rating

7.7

Company rating: 7.7 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

107th of 360 rated logistics

Job description

At C.H. Robinson, we're transforming the way data powers decisions across our global business. As a Principal Analytics Engineer - Analytics and AI, you'll play a key role in advancing our analytics strategy by designing modern, scalable business intelligence solutions that combine data, automation, and AI to deliver faster, more trusted insights.
You'll operate at the intersection of software engineering, data architecture, business intelligence, and artificial intelligence-building enterprise-scale analytics products that are secure, scalable, and designed for the future. You'll serve as both a technical leader and strategic partner, translating complex business challenges into enterprise analytics products that enable self-service reporting, intelligent automation, and AI-powered decision support. You'll lead the design and evolution of trusted data assets, semantic models, dashboards, and automated workflows while helping shape the future of how data is accessed, governed, and consumed across the organization.
Leveraging deep expertise in Power BI, SQL, Snowflake, data modeling, and analytics architecture, you'll partner with cross-functional teams to build scalable solutions that improve operational efficiency and business outcomes. You'll also help drive adoption of emerging technologies-including Microsoft Copilot, AI-assisted development, workflow automation, and conversational analytics-to enhance productivity and create next-generation user experiences.
If you're passionate about combining business intelligence, data architecture, automation, and AI to solve complex business problems, this is an opportunity to make a lasting impact on one of the world's largest logistics and supply chain organizations while helping shape the future of data-driven innovation at C.H. Robinson.
Duties &Responsibilities:
The duties and responsibilities of this position consists of, but are not limited to, the following:
  • Design analytics solutions using software engineering best practices to ensure scalability, maintainability, and long-term supportability.
  • Build reusable analytics components, semantic models, and shared data services that accelerate enterprise adoption.
  • Lead adoption of AI-assisted development, automation, and engineering practices within the Analytics organization.
  • Partner with software engineering and platform teams to integrate analytics into enterprise applications through APIs and event-driven architecture.
  • Extract and interpret data to answer ambiguous questions while working directly with personnel across the network
  • Determine reporting, analytics, and additional analysis needed to support initiatives and measurement
  • Proactively analyze topics, identify insights, and create recommendations supported by facts to change behaviors and drive operational improvements across the team and business
  • Clearly translate and communicate complex concepts into understandable, professional presentations
  • Consult, support, and inform leadership using data-driven insights
  • Translate business needs into technical specifications and scalable analytical solutions
  • Analyze, design, develop, document, test, and deploy BI, analytics, and data solutions
  • Design and maintain semantic models, KPI definitions, and governed data assets that enable consistent reporting, analytics, and AI-driven insights
  • Develop and execute SQL across enterprise and cloud data platforms, including Snowflake, to power analytics and reporting solutions
  • Create engaging visualizations, dashboards, and self-service analytics products for internal and external stakeholders
  • Enhance, modernize, and support existing solutions, including migration of legacy assets where appropriate
  • Identify opportunities to automate analytics workflows and reduce manual effort through AI-enabled development, workflow orchestration, and self-service solutions
  • Contribute to the design of conversational analytics and natural-language data experiences that increase accessibility to trusted business insights
  • Evaluate and implement emerging technologies that improve analytics delivery, stakeholder experience, and team productivity
  • Lead the adoption of modern analytics practices, including AI-assisted development, automated testing, documentation, and governance standards
  • Establish best practices for data quality, governance, lineage, and validation to ensure trust in analytics and AI-generated outputs
  • Develop and maintain technical documentation to support long-term maintainability and knowledge sharing
  • Implement best practices for optimum use, performance, scalability, and maintainability of BI and analytics solutions
  • Provide technical leadership to the team and help build the skills of other team members
  • Mentor team members on modern BI, analytics engineering, and AI-enabled delivery practices
  • Mentor, train, and support the development of other analysts across the network
  • Present and deliver analytical value through business intelligence, storytelling, and cross-functional collaboration
  • Build relationships and consult across the network to bring solutions to life
  • Collaborate with internal analytics teams to develop solutions in tandem
  • Partner with business and technology stakeholders to develop scalable analytics products and data solutions that support strategic objectives
  • Partner with internal departments to understand drivers of trends and the impact of business changes
  • Collaborate with leadership to develop and maintain robust performance reporting and analytics
  • Advocate for and build data-fueled products that help our Commercial Organization improve business outcomes
  • Lead project plans, process flows, and metrics; facilitate project meetings, communicate progress, and escalate blockers when needed
  • Engage with internal and external customers to identify and prioritize areas of analysis and opportunity

Required Qualifications:
  • 8+ years of analytics experience developing business solutions using comprehensive, robust data assets
  • Experience with AI-enabled analytics, conversational analytics, natural-language querying, or intelligent workflow solutions.
  • Experience applying software engineering principles to analytics solutions, including Git-based source control, CI/CD pipelines, automated testing, and code review practices.
  • Experience developing reusable analytics frameworks, semantic models, APIs, or shared data services.
  • Experience integrating AI and Large Language Models (LLMs) into analytics workflows using technologies such as Microsoft Copilot, Azure AI, OpenAI, or similar platforms.
  • Experience with Python or C# for analytics automation, data processing, or AI solution development.
  • Experience building cloud-native analytics solutions on Azure using services such as Azure Data Factory, Azure Functions, Logic Apps, or Fabric.
  • Experience with relational and non-relational (NoSQL) databases (e.g., MongoDB, Cosmos DB, Cassandra, DynamoDB) and modern cloud data platforms.
  • Experience designing data products and enterprise-scale analytics platforms rather than standalone dashboards.
  • Familiarity with Infrastructure as Code, DevOps practices, and modern deployment automation.
  • Experience partnering with software engineering teams to build scalable data and analytics solutions.
  • Mastery proficiency with Microsoft Power BI, and strong working proficiency with the broader Microsoft Power Platform Suite of programs (Power Apps, Power Automate)
  • Advanced knowledge and practical application of a programming language
  • Bachelor's degree or a minimum of 4 years of equivalent work experience and a high school diploma/GED

Preferred Qualifications:
  • Logistics and supply chain experience
  • Mastery understanding of data fundamentals, SQL Querying, and passion for data integrity, testing, and validation
  • Experience working with product teams in an iterative environment
  • Positive, collaborative working style
  • Effective communicator and data/reporting/business liaison through multiple mediums
  • Values a diverse and inclusive work environment

We will review applications for this role on an ongoing basis and encourage all interested candidates to apply at their earliest convenience.
Compensation Range
$84,800.00 - $191,000.00
The base pay range displayed on each job posting reflects the minimum and maximum base pay for the position across all U.S. locations. Your individual base pay within this range is determined by work location, which takes into account geographic cost of labor, and additional factors, including job-related skills, experience, and relevant education or training. Compensation details listed in this posting reflect the base pay only and do not include additional variable compensation.
Questioning if you meet the mark? Studies have shown that some individuals may be less likely to apply unless they match the job description exactly. Here at C.H. Robinson, we're building an inclusive workplace where all employees feel they belong. If this position excites you, we welcome you to apply whether you check all the preferred qualifications or just a few. You may just be our next great fit!
Equal Opportunity
C.H. Robinson is proud to be an Equal Opportunity Employer. We are committed to a workplace and performance culture that reflects the strengths of our worldwide marketplace. We value unique experiences and diverse backgrounds of our people within our company, our business relationships, and our communities. We're committed to providing an inclusive environment, free from harassment and discrimination, where all employees feel welcomed, valued and respected.
EOE/Disabled/Veteran
Benefits
Your Health, Wealth and Self
Your total wellbeing is the foundation of our business, and our benefits support your financial, family and personal goals. We provide the top-tier benefits that matter to you most, including:
  • Three medical plans which include
    • Prescription drug coverage
    • Enhanced Fertility benefits
  • Flexible Spending Accounts
  • Health Savings Account (including employer contribution)
  • Dental and Vision
  • Basic and Supplemental Life Insurance
  • Short-Term and Long-Term Disability
  • Paid observed holidays
  • 2 paid floating holidays for U.S. hourly employees
  • Flexible Time Off (FTO) offered to U.S. salaried employees - no accruals and no caps. Paid Time Off (PTO) offered to all other employees in the U.S. and Canada
  • Paid parental leave
  • Paid time off to volunteer in your community
  • Charitable Giving Match Program
  • 401(k) with 6% company matching
  • Employee Stock Purchase Plan
  • Plus a broad range of career development, networking, and team-building opportunities

Learn more about our benefit offerings on our BENEFITS & WELLBEING page

What C.H. Robinson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply