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Manager Data Analytics Engineer Jobs in Minneapolis, MN

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 · On-site

$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 · 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

$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 ...

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 ...

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 ...

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 ...

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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 1, 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.

Data Analyst

Lorven Technologies

Minneapolis, MN • On-site

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Data Analyst
Notes:
Onsite Interview Required
• 6 years of experience in Data Analysis
• Strong proficiency in Tableau
• Extensive experience in building dashboards using Tableau
• Strong experience in SQL
• Knowledge of Azure platform and services (Azure Plus)
• Experience as an Analytics Engineer
• Dataset management and data pipeline development
• Demonstrates solid expertise in data visualization and dashboard creation
• Skilled in data extraction, transformation, and loading (ETL) processes
• Familiar with cloud-based data solutions, particularly Azure
• Capable of handling end-to-end analytics projects from data sourcing to visualization
Job Details:
This role requires deep experience in transforming complex datasets into intuitive, actionable insights for external customers. The ideal candidate will have strong expertise in Tableau, including relationships, LOD expressions, and advanced calculations, as well as a solid understanding of SQL and data modeling best practices. This position requires a detail oriented professional with strong analytical abilities, excellent communication skills, and a passion for delivering high quality, accurate dashboards that help customers make informed decisions
Responsibilities
• Design, develop, and maintain interactive Tableau dashboards for the TracKing customer-facing platform.
• Simplify complex datasets into clear, intuitive visualizations and analytical insights.
• Partner with stakeholders to understand reporting needs and translate them into effective dashboard solutions.
• Use advanced Tableau capabilities such as relationships, LOD expressions, parameter controls, and complex calculations.
• Write and optimize SQL queries to support reporting and analysis needs.
• Apply data modeling best practices to ensure scalable, reliable analytics.
• Validate data accuracy and ensure dashboards reflect consistent, high quality information.
• Document data sources, calculations, and dashboard logic for transparency and maintainability.
• Troubleshoot issues with dashboards, data pipelines, and data quality.
• Collaborate closely with cross-functional teams, including data engineering, product management, and customer support.
Technical Skills
• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
• Minimum of 6 years of experience in data analysis or business intelligence roles.
• Strong proficiency with Tableau, including relationships, LOD functions, and advanced visualization techniques.
• Solid understanding of SQL and experience writing complex queries.
• Experience with data modeling concepts and best practices.
• Familiarity with ETL concepts, data integration tools, and operational data sources.
• Experience working with large datasets and optimizing queries for performance.
• Knowledge of cloud platforms (Azure, AWS, or GCP) is a plus.
• Experience with version control systems such as Git is beneficial.
Soft Skills:
• Strong problem solving and analytical thinking abilities.
• Excellent verbal and written communication skills.
• High attention to detail with a commitment to accuracy and quality.
• Ability to simplify complex concepts for non technical audiences.
• Strong collaboration skills and ability to work across teams.
• Highly organized with the ability to manage multiple priorities and deadlines.
• Proactive, self motivated, and comfortable working in a dynamic environment.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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