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Associate Data Science Analyst Jobs in Minnesota

Employ broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy's core data science capabilities * Mine large structured and unstructured data ...

New

Employ broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy's core data science capabilities * Mine large structured and unstructured data ...

New

Employ broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy's core data science capabilities * Mine large structured and unstructured data ...

New

Senior Data Management Analyst

Saint Paul, MN · On-site

$87K - $109K/yr

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 ...

Associate Data Engineer

Eden Prairie, MN · On-site

$60K - $107K/yr

Demonstrated ability to analyze, profile, and troubleshoot data quality or pipeline performance issues Preferred Qualifications: * Bachelor's degree in Computer Science, Data Science, Information ...

New

Required Qualifications Strong professional experience in Data Science, Machine Learning, advanced analytics, statistical modeling, or a related discipline. Strong hands-on programming capability in ...

Establishes best practices for data analysis and reporting. * Other duties as assigned. Skills and Competencies * A specialization in machine-learning, artificial intelligence, cognitive science or ...

Showing results 21-40

Associate Data Science Analyst information

What does an associate data science analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.

What are the key skills and qualifications needed to thrive as an associate data science analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What types of projects and datasets do associate data science analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What can I do with an associate data science analyst's degree in data science?

An associate data science analyst's degree prepares individuals for entry-level roles such as data analyst, data technician, or business intelligence assistant. These roles involve collecting, cleaning, and analyzing data using tools like Excel, SQL, and basic programming languages such as Python or R. The degree provides foundational skills for working in data-driven environments and can lead to further specialization or advancement in data science careers.

What are the most commonly searched types of Data Science Analyst jobs in Minnesota?

The most popular types of Data Science Analyst jobs in Minnesota are:

Infographic showing various Associate Data Science Analyst job openings in Minnesota as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Scientist

Minneapolis, MN

Best Buy
Retail • 10K+ employees

Full-time, Part-time

PTO

Posted 2 days ago

New


Best Buy rating

6.8

Company rating: 6.8 out of 10

Based on 1,798 frontline employees who took The Breakroom Quiz


Job description

As a Data Scientist, you’ll apply innovative statistical and machine learning methods in a scientifically rigorous manner to dive into the largest and most complex data across the enterprise to answer the most difficult questions that are foundational to driving real-world value by offering deep insight into every aspect of the business. In this role, you will have the opportunity to be involved in the most important strategic efforts to provide analytic thought leadership that drives a data-grounded perspective to help Best Buy think critically and differently about all aspects of our business to improve our core capabilities and unleash the next generation of customer experiences that will transform the way Best Buy operates day-to-day.
This role is hybrid, which means you will be required to work on site Monday through Thursday at the Best Buy corporate office in Richfield, Minnesota. You can work virtually from home or another non‑Best Buy location on Friday. The recruiter or hiring manager will provide more details during the hiring process.
This position is not eligible for immigration sponsorship.
Relocation assistance is not available for this role.
What you'll do
  • Apply scientific methods to solve real-world business problems using data
  • Utilize cutting edge statistical and machine learning methods to dig deep into complex data to deliver data-driven solutions across all areas of the business but primarily Marketing and Customer
  • Employ broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy’s core data science capabilities
  • Mine large structured and unstructured data appropriately to glean actionable insights and to make recommendations on how the data can be used to help solve straightforward business problems
  • Communicate with business partners to effectively translate complex models and solutions to different audiences
  • Collaborate with other stakeholder teams to implement and deploy scalable solutions
Basic qualifications
  • Bachelor's degree in a highly quantitative field (e.g. Data Science, Statistics, Computer Science, Engineering, Math, Operations Research, etc)
  • 2 or more years of experience in data science, data analysis, data mining or other similar business functions.
  • 2 or more years of experience with data science/analytics programming languages (e.g. Python, R)
  • 2 or more years of experience implementing impactful ML models.
  • 2 or more years writing SQL queries and working with relational databases.
  • Experience presenting complex technical information to a wide variety of audiences
Preferred qualifications
  • Master's degree in a highly quantitative field (e.g. Data Science, Statistics, Computer Science, Engineering, Math, Operations Research, etc)
  • Experience with Causal Inference
  • Experience with Retail Market Data, Market Share Data
  • Experience working with LLMs in a production setting (prompt engineering, Agentic AI, etc.)
  • Experience building production ready machine learning models
  • Familiar with Cloud computing platforms (e.g. GCP, AWS)
  • Familiar with Git
What’s in it for you
We’re committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.
Our benefits include:
  • Competitive pay
  • Generous employee discount
  • Physical and mental well-being support
Best Buy provides different types of leaves of absence (LOA) and potential pay sources to employees based on eligibility. The length of your LOA depends on your situation, where you live, your full-time or part-time employment status, and federal and state regulations. Intermittent or reduced-schedule leave is also available for certain medical or family care leaves. Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service.
Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results. For more information about our incentive pay plans, including eligibility, please refer to our Incentive Programs Summary.
For more information about benefits, LOA and paid time off, please refer to our Benefits Guide.
About us
As part of the Best Buy team, you’ll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life — in our stores, online and in customers’ homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We’re committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here. ™
Best Buy is an equal opportunity employer

Position Type: Full timePandoLogic. Keywords: Data Scientist, Location: Minneapolis, MN - 55423


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BEST BUY logo

About BEST BUY

Sourced by ZipRecruiter

As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life -- in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Richfield, MN, US

Year founded

1966