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Data Analytics Engineer Jobs in Minneapolis, MN (NOW HIRING)

SysMind, LLC

Role: Digital Analytics Engineer

Minneapolis, MN · On-site

$142K/yr

Digital Analytics Engineer Location: ONSITE- Minneapolis/ Dallas/ Charlotte/ Atlanta s: " • Build ... PII data-protection rules (masking, encryption, blocklisting). • Support the controlled ...

New

Saige Partners

Data Platform Engineer

Eden Prairie, MN · On-site

$116K - $140K/yr

Data Platform Engineer Seeking an experienced Data Platform Engineer II to help build and improve enterprise data and analytics platforms in Google Cloud Platform (Google Cloud Platform) . Key ...

Ameriprise Financial

Adobe Analytics Engineer

Minneapolis, MN · On-site

$86K - $114K/yr

Work closely with customers, business analysts, technology, and project teams to understand ... Robust knowledge of gathering data with client-side approaches to better understand our customers ...

Apogee

Data Platform Engineer

Minneapolis, MN · On-site

$80K - $100K/yr

Position Summary Apogee's Data, Analytics & Integration organization focuses on implementing ... This Data Platform Engineer will fill a critical role in enhancing and supporting the Data ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field * Five or more years of professional experience in data engineering, analytics and reporting, or ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field * Five or more years of professional experience in data engineering, analytics and reporting, or ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Partner with data engineers, product partners and business leaders to identify meaningful opportunities to add value to the business utilizing statistics, advanced analytics and compelling ...

APOG

Data Platform Engineer

Minneapolis, MN · On-site

$80 - $100/hr

Apogee's Data, Analytics & Integration organization focuses on implementing processes and solutions for Data Governance, Master Data Management, Data Analytics and Integration.This Data Platform ...

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 ...

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Showing results 21-40

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

Data Analytics Engineer information

See Minneapolis, MN salary details

$46.5K

$135.6K

$185.6K

How much do data analytics engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analytics engineer in Minneapolis, MN is $135,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $143,800.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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 Data Analytics Engineer jobs in Minneapolis, MN?

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

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

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

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

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

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 83% In-person, 7% Hybrid, and 10% Remote job distribution, with an average salary of $135,625 per year, or $65.2 per hour.

Healthcare Data Analytics

3B Staffing LLC

Minneapolis, MN

Full-time

Re-posted 16 days ago

Job description

Position background:

o This position will be part of our Data Science Solutions and Strategy (DS3) Team within the United Healthcare Controllership. The role will be involved multiple technology projects throughout the year

to help our organization ensure data quality while assisting with analysis, metric, and report creations. They will have the ability to research and apply various data mining and data science methods in these

processes and will be a key resource for major project deliverables.

What does this position accomplish for the business?

o This position will support various Financial Data Management teams with data testing and data quality assessment.

Please describe the team the candidate will be working with (number of team members break-

down of the teams skill sets team culture etc.).

o The DS3 team is approximately 35 members with the direct team being 5-7 individuals. The team is extremely skilled in various big data technologies (Hive, Hadoop, Teradata) and has a variety of

programming skills (SAS, SQL, Python, R) etc.

What are the top 5-10 responsibilities for this position (please be detailed as to what the candidate is expected to do or complete on a daily basis)?

o Assist various groups in the transition of Financial Systems data flows to various ETL or data warehouse platforms.

o Create programs and automated processes for reporting and dashboarding on various data quality measures.

o Research and development on various metrics and analytical methods to help with data quality, automated testing, and validation processes.

o Develop sophisticated methods for anomaly detection, pattern analysis, change point detection, threshold measuring and other approaches for measure data changes.

o Exploratory data analysis and research to determine data baselines and thresholds for summary analysis.

What does the ideal candidate background look like (ex: healthcare specific background specific industry experience etc.)?

o Healthcare data experience not required but helpful.

o 4-year degree in Data Science, Analytics, Mathematics, Statistics, or Computer Science.

o 4+ years of experience as a data analyst, data scientist or data engineer.

What skills/attributes are required (please be detailed as to number of years of experience for each skill)?

o Ability to build complex SQL queries

o Ability to confidently communicate findings and help implement change

o Professional experience with various data platforms like Microsoft SQL Server, SAS Fusion Hadoop, Teradata, Hive, AWS, Azure, etc.)

o Professional experience with various data business intelligence software tools like Power BI, Tableau, iDashboards etc.

What skills/attributes are preferred (what will set a candidate apart)?

o Aptitude for telling stories with data.

o Experience with presenting to Senior Management or Executive Leadership.

o SAS Certification, Teradata Vantage Certification, Microsoft Certified Professional

o Advanced degree in Data Science or Analytics.

o Experience with Github, Agile Methodology.

Does this position require a professional license or certification? If so please list.

o No

What is the dress code (ex: business casual scrubs etc.)?

o Business Casual

How would you prefer to interview? (Video phone or in person? How many rounds?)
• 2 rounds of interviews (MS Teams).

o 1hr panel session.

o 30min with hiring manager.

Apply