ZipRecruiter

Log In

1

Director Data Analyst Machine Learning Jobs in Minnesota

UnitedHealth Group

Senior Data Analyst

Eden Prairie, MN · Remote

$87K - $110K/yr

As a Senior Data Analyst , you will play a critical role in transforming complex datasets into ... Knowledge of statistical analysis or basic machine learning techniques (e.g., Python, R, SAS) *All ...

New

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

... data science, machine learning, and visualization technologies. Core responsibilities of this job are described within this . Job duties may change at any time due to business needs. About you:

JLL

Data Center Operations Director

Minneapolis, MN

Advance market position with analytics of mission critical applications and processes to digitize ... Develop AI based programs to deploy machine learning for critical environments data. * Leadership ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

... data science, machine learning, and visualization technologies. Core responsibilities of this job are described within this . Job duties may change at any time due to business needs. About you:

next page

Showing results 1-20

All JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Minnesota

Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Minnesota? The most popular types of Data Analyst Machine Learning jobs in Minnesota are:
What are popular job titles related to Director Data Analyst Machine Learning jobs in Minnesota? For Director Data Analyst Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Minnesota look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Director Data Analyst Machine Learning jobs? Cities in Minnesota with the most Director Data Analyst Machine Learning job openings:
Director Data Analyst Machine Learning jobs near you
Sr Data Analyst - Crecera Brands

Sr Data Analyst - Crecera Brands

The Golf Warehouse

Minneapolis, MN • On-site

$75K - $110K/yr

Full-time

Posted 9 days ago

Job description

Sr. Data Analyst
Job Description
ABOUT THE COMPANY
Crecera Brands is the driving force behind Sportsman's Guide, Salt Strong, The Golfer's World, Play Baseball and Play Softball, five of America's leading retailers of outdoor gear, sporting goods and golf supplies. For nearly 50 years, our companies have been dedicated to helping our customers enjoy the fun, freedom, and traditions of the great outdoors. From hunting and fishing to playing ball and hitting the links, the companies of Crecera Brands deliver the gear you need to succeed. Our websites include sportsmansguide.com, tgw.com, saltstrong.com, playbaseball.com and playsoftball.com.
Position Overview
We are seeking for a Senior Data Analyst to transform complex data into actionable insights that drive business within our golf, baseball and softball businesses. This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau, and Snowflake to support strategic and operational initiatives. The ideal candidate is a hands-on analyst who can work across stakeholders, build scalable data solutions, and communicate insights clearly to both technical and non-technical audiences.
Key Responsibilities
• Data Analysis & Insights
o Analyze large, structured datasets to identify trends, patterns, and opportunities
o Translate business questions into data-driven analyses and actionable recommendations
o Design and execute exploratory and statistical analyses using Python and R
o Develop KPIs and metrics to monitor performance and support business strategy
• Data Management & SQL
o Write complex, optimized SQL queries to extract, transform, and validate data
o Work with data warehouses (e.g., Snowflake) to manage and model data
o Ensure data quality, integrity, and consistency across systems
• Visualization & Reporting
o Build interactive dashboards and reports in Tableau (or similar BI tools)
o Provide clear storytelling through data to influence decision-making
o Automate reporting processes and improve accessibility of insights
• Stakeholder Collaboration
o Partner with cross-functional teams (e.g., Product, Finance, Marketing, Operations)
o Gather requirements and translate business needs into analytical solutions
o Present findings and recommendations to leadership
• Advanced Analytics & Continuous Improvement
o Develop predictive models or advanced analytics solutions where needed
o Identify opportunities to improve data processes, tools, and governance
o Mentor junior analysts and contribute to best practices
Required Qualifications
• Must be legally authorized to work in the United States without sponsorship for employment visa status (e.g., TN, H1B status)
• Bachelor's degree in data analytics, statistics, computer science, economics, data science, or related field
• 4+ years of experience in data analytics or a related role
• Advanced proficiency in SQL, Python and/or R, Tableau or similar BI tools
• Strong experience working with data warehouses and large datasets
• Solid understanding of statistics, data modeling, and analytical methods
• Proven ability to communicate insights to business stakeholders
Preferred Qualifications
• Experience with modern data stacks (i.e. Snowflake etc.)
• Experience with Adobe Analytics or Google Analytics
• Exposure to A/B testing, machine learning, or predictive modeling
• Experience in a DTC e-commerce environment
• Experience mentoring or leading projects
Key Competencies
• Analytical problem-solving
• Business acumen
• Data storytelling & visualization
• Attention to detail
• Collaboration and influence
Compensation:
Base Salary: $75,000 - $110,000 depending on experience and qualifications
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Apply