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Applied Data Analytics Jobs in Minnesota (NOW HIRING)

Daikin-Applied

Data Engineer III

Plymouth, MN · On-site

$90 - $153.30/hr

Data Scientist III - Plymouth, MN - OnsiteDaikin Applied is seeking a Data Scientist III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Daikin Applied

Data Engineer III

Plymouth, MN · On-site

$119K - $143K/yr

Data Engineer III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Engineer III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

Strong knowledge of version control practices in GitHub applied to data and analytics assets. * Proficient verbal and written communication skills, including the ability to explain data and metric ...

Daikinapplied

Data Engineer III

Minneapolis, MN

$90K - $153K/yr

Data Engineer III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Engineer III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$100 - $130/hr

Strong knowledge of version control practices in GitHub applied to data and analytics assets. * Proficient verbal and written communication skills, including the ability to explain data and metric ...

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

Strong knowledge of version control practices in GitHub applied to data and analytics assets. * Proficient verbal and written communication skills, including the ability to explain data and metric ...

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

Strong knowledge of version control practices in GitHub applied to data and analytics assets. * Proficient verbal and written communication skills, including the ability to explain data and metric ...

Knutson-Construction

Senior Data Analyst

Minneapolis, MN · On-site

$100 - $130/hr

Strong knowledge of version control practices in GitHub applied to data and analytics assets. * Proficient verbal and written communication skills, including the ability to explain data and metric ...

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All JobsApplied Data Analytics JobsApplied Data Analytics Jobs in Minnesota

Applied Data Analytics information

See Minnesota salary details

$25.3K

$125.8K

$223K

How much do applied data analytics jobs pay per year?

As of Aug 29, 2026, the average yearly pay for applied data analytics in Minnesota is $125,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,130.00 and $169,061.00 per year, depending on experience, location, and employer.

What is applied data analytics?

An Applied Data Analytics job involves using data analysis, statistical methods, and machine learning techniques to extract insights and support decision-making in various industries. Professionals in this role work with large datasets, clean and preprocess data, and create visualizations to communicate findings effectively. They often use programming languages like Python or R, along with database tools such as SQL, to analyze trends and optimize business processes. Applied Data Analytics roles are found in sectors like healthcare, finance, marketing, and technology, helping organizations make data-driven decisions.

What does someone working in applied data analytics do?

Professionals in Applied Data Analytics typically spend their days collecting, cleaning, and analyzing large datasets to identify trends and patterns relevant to their organization’s goals. They use various statistical and machine learning techniques to build predictive models, generate visual reports, and present data-driven recommendations to stakeholders. Collaborating with cross-functional teams such as marketing, operations, and IT is common, ensuring data solutions are closely aligned with business needs. This dynamic role also involves continuous learning to keep up with evolving analytical tools and methodologies.

What are the key skills and qualifications needed to thrive in applied data analytics?

To thrive in Applied Data Analytics, you need strong analytical skills, proficiency in statistical methods, and typically a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau or Power BI, and knowledge of SQL are commonly required, along with relevant certifications such as Certified Analytics Professional (CAP). Strong problem-solving abilities, effective communication, and a knack for translating complex data into actionable insights set standout professionals apart. These skills are crucial for transforming raw data into meaningful solutions that support informed business decisions and drive organizational success.

Is data analytics a good career?

Applied Data Analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, or R. It offers opportunities across various industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What are popular job titles related to Applied Data Analytics jobs in Minnesota?

For Applied Data Analytics jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Applied Data Analytics jobs in Minnesota look for?

The top searched job categories for Applied Data Analytics jobs in Minnesota are:

Applied Data Analytics jobs near you
Infographic showing various Applied Data Analytics job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $125,793 per year, or $60.5 per hour.

Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys)

Target Brands, Inc.

Brooklyn Park, MN • On-site

$98K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Target rating

6.6

Company rating: 6.6 out of 10

Based on 7,020 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Job description

The pay range is $98,000.00 - $176,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A SR DATA SCIENTIST - RECOMMENDATIONS (RecSys)
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization/RecSys rely on.
As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you'll perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment, and analyze performance and trade-offs. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. On the business side, you'll document and present work to technical and non-technical peers, build knowledge on business priorities and strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
  • MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant work experience
  • 3 plus years of experience developing machine learning models using deep learning frameworks such as PyTorch or JAX
  • Experience building recommendation, personalization, search, ranking or retrieval systems at scale
  • Strong programming skills in Python and SQL
  • Demonstrated experience with optimization, statistics, probability and experimental design
  • Experience evaluating models through offline analysis on large-scale datasets and online experimentation, including statistical analysis and interpretation of results
  • Knowledge of large-scale data processing and analytics platforms such as Spark
  • Extensive experience leveraging generative AI tools to accelerate development, experimentation and model delivery
  • Ability to communicate complex technical concepts and results to both technical and non-technical audiences
  • Demonstrated ability to translate business problems into scalable data science solutions
  • Self-driven, results-oriented and able to meet tight deadlines
  • Motivated team player who thrives in a collaborative - global environment

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 08/27/2026

What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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