1

Data Analyst Data Science Jobs in Minnesota (NOW HIRING)

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 ...

Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered. * Proficiency ...

New

UK Data Analyst

Sartell, MN · On-site

$45K - $55K/yr

Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered. * Proficiency ...

Data Analyst II

Cottage Grove, MN · On-site

$90.04 - $139.56/hr

## Data Analyst IIApplylocations: Cottage Grove, MNtime type: Full timeposted on: Posted Todayjob ... Bachelor's degree in a quantitative field (Computer Science, MIS, or related field) or relevant ...

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 ...

Data gathering and analysis as part of assigned tasks and projects * Creating data visualization as part of assigned tasks and projects * Assist Editorial Service teams with market analysis and ...

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 ...

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

Bachelor's degree in a quantitative field (Computer Science, MIS, or related field) or relevant ... data for analytical purposes. * Strong conceptual and communication skills in context of ...

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 ...

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 ...

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 ...

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 ...

New

... Business Analyst experience including documenting business requirements and functional specifications 5+ years of experience in Data Warehousing - business or data analysis experience in data ...

Showing results 41-60

Data Analyst Data Science information

See Minnesota salary details

$14

$39

$66

How much do data analyst data science jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data analyst data science in Minnesota is $39.03, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $47.31 per hour, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What job categories do people searching Data Analyst Data Science jobs in Minnesota look for?

The top searched job categories for Data Analyst Data Science jobs in Minnesota are:

What cities in Minnesota are hiring for Data Analyst Data Science jobs?

Cities in Minnesota with the most Data Analyst Data Science job openings:

Infographic showing various Data Analyst Data Science job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,189 per year, or $39 per hour.

Senior Data Analyst - TES Data and Analytics

Target

Minneapolis, MN • On-site

$88K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Identify and analyze process gaps using data exploration, intuition, and investigative techniques.

  • Build prototype statistical models and algorithms to enhance forecasting accuracy and operational effectiveness.

  • Create KPIs, metrics, and calculations that accurately measure performance and shape desired behaviors across the Service Center Organization.


Target rating

6.6

Company rating: 6.6 out of 10

Based on 7,040 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $88,000.00 - $158,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay 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.

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.

We are seeking a detail-oriented and innovative Senior Data Analyst to join our Data & Analytics Team, supporting Target Enterprise Services (TES). This role goes beyond traditional data analysis, requiring a proactive individual who can uncover process inefficiencies, develop impactful tools, and design metrics that empower decision-making and continuous improvement.

As a Senior Data Analyst, you will play a hands-on role in analyzing data, prototyping models, and collaborating with cross-functional teams to design, build, and enhance the effectiveness of multiple data products. You'll deliver actionable insights, build scalable tools, and mentor team members, all while driving analytics that shape business decisions.This role is designed for someone who thrives in a fast-paced environment, enjoys tackling complex challenges, and can balance analytical rigor with creativity.

Core responsibilities of this job are described within this job description. Job duties maychange at any time due to business needs.

Key Responsibilities:

Data Analysis & Process Improvement

  • Identify and analyze process gaps using data exploration, intuition, and investigative techniques.

  • Conduct deep-dive analyses to uncover inefficiencies and propose data-driven solutions to business problems and workflows.

  • Perform trade-off analyses to guide decision-making and improve overall organizational performance.

  • Apply AI-enabled analysis techniques to accelerate high-quality analysis, transform unstructured and immature data sources into scalable insights, identify emerging themes, and pressure-test hypotheses while applying strong analytical judgment, validation, and responsible use practices.

Tool Development & Forecasting

  • Build prototype statistical models and algorithms to enhance forecasting accuracy and operational effectiveness.

  • Support development of topic modeling and sentiment analysis capabilities, bringing structured metadata to unstructured open text sources

  • Develop user-friendly tools and dashboards to serve up actionable insights to service center and enterprise partner teams.

  • Ensure analytical solutions are scalable and integrated into team workflows for lasting impact.

Metric Design & Reporting

  • Create KPIs, metrics, and calculations that accurately measure performance and shape desired behaviors across the Service Center Organization.

  • Partner with enterprise analytics teams to ensure cohesiveness and consistency across the reporting portfolio.

  • Regularly review and refine metrics to reflect evolving business needs and priorities.

Collaboration & Mentorship

  • Partner with analysts and stakeholders across data and analytics teams to align on goals, methods, and outputs.

  • Act as a thought leader by sharing domain knowledge, best practices, and analytical techniques to elevate team performance.

  • Support the alignment of insights with business goals by fostering strong cross-functional relationships.

Business Insights & Communication

  • Translate complex analytics into clear, actionable business insights tailored to stakeholders' needs.

  • Effectively communicate findings through compelling presentations, data visualizations, and storytelling.

  • Provide guidance on trade-offs between competing priorities and decisions using a data-driven approach.

About You:

  • Bachelor's degree in Data Science, Business Analytics, Statistics, or related field.

  • 5+ years of experience in data analytics, with a track record of solving complex business problems.

  • Advanced skills in tools and programming languages such as SQL, Python, R, and data visualization tools (e.g., Looker, Power BI).

  • Practical experience leveraging large language models and AI prompt engineering to help analyze and categorize data

  • Proven experience in developing metrics, KPIs, and reporting frameworks.

  • Ability to translate data into actionable insights and effectively communicate findings to stakeholders.

  • Strong analytical mindset with the ability to identify root causes and recommend solutions.

  • Ability to work across both modern and immature data.

  • Excellent collaboration skills and experience working with cross-functional teams.

  • Continually updates knowledge of new and evolving technologies via formal training and self-directed education to continue to raise individual and team performance.

Preferred:

  • Familiarity with service center analytics.

  • Experience building statistical models or algorithms to improve forecasting.

  • Knowledge of systems like GCP, Looker, Power BI, and Git.

  • Demonstrated ability to mentor and support junior team members in analytics.

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 rolewill need to beperformedboth onsite at the Target HQ MN location the role is assigned toandvirtually,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. Clickhereif 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.


What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Target logo

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