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Data Analyst Startup Jobs in Minnesota (NOW HIRING)

Cheez

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Product Manager @ Social app startup

Duluth, MN · On-site

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Cheez

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

EnthuZiastic

Growth Hacker - Remote

Plymouth, MN · On-site

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

EnthuZiastic

Growth Hacker - Remote

Rochester, MN · On-site

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

EnthuZiastic

Growth Hacker - Remote

Duluth, MN · On-site

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

EnthuZiastic

Growth Hacker - Remote

Minneapolis, MN · On-site

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

EnthuZiastic

Growth Hacker - Remote

Saint Cloud, MN · On-site

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Abbott

Associate Clinical Data Manager

Maple Grove, MN · On-site

... startup, conduct and reporting phases. What You'll Work On - CAN CHANGE Works with Data Review ... Partner closely with Data Review Management, Study Database Manager, and Data Analytics and Systems ...

Abbott

Associate Clinical Data Manager

Maple Grove, MN · On-site

... startup, conduct and reporting phases. What You'll Work On - CAN CHANGE Works with Data Review ... Partner closely with Data Review Management, Study Database Manager, and Data Analytics and Systems ...

Abbott

Senior Clinical Data Manager

Maple Grove, MN · On-site

This position partners cross-functionally with Clinical Data Management, Clinical Data Analytics ... Oversee participation in protocol review, study planning, and study startup activities to ensure ...

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All JobsData Analyst Startup JobsData Analyst Startup Jobs in Minnesota

Data Analyst Startup information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do data analyst startup jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analyst startup in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a data analyst startup?

A Data Analyst in a startup is responsible for collecting, analyzing, and interpreting data to help drive business decisions. Unlike in larger companies, startup data analysts often wear multiple hats, working with raw, unstructured data, building dashboards, and providing strategic insights. They collaborate closely with product, marketing, and engineering teams to optimize processes and improve business performance. The role requires strong analytical skills, proficiency in SQL, Python, or R, and the ability to adapt quickly to a fast-paced environment. Since startups have fewer resources, data analysts must be proactive, resourceful, and comfortable with ambiguity.

What are some challenges a data analyst might face when working in a startup environment?

Data Analysts in startups often encounter rapidly shifting priorities and limited resources, which require them to adapt quickly and independently manage their work. You may find yourself setting up new data processes from scratch, dealing with incomplete datasets, or balancing multiple projects at once. Collaboration is frequent, as you'll typically work closely with founders, product managers, engineers, and marketers to deliver actionable insights. This environment fosters valuable learning opportunities and skill development, but it also demands flexibility, resourcefulness, and a willingness to take on diverse tasks.

What are the key skills and qualifications needed to thrive in the data analyst startup position, and why are they important?

To thrive as a Data Analyst at a startup, you need strong quantitative skills, proficiency in data manipulation and statistical analysis, and often a degree in a related field like mathematics, statistics, or computer science. Familiarity with tools like SQL, Python, R, Excel, and data visualization platforms such as Tableau or Power BI is highly beneficial, as is experience with cloud-based data storage. Adaptability, problem-solving, and excellent communication skills set standout candidates apart in this fast-paced environment. These capabilities are crucial because startup Data Analysts often wear multiple hats, working cross-functionally to extract actionable insights that directly influence business decisions.

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

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

What are popular job titles related to Data Analyst Startup jobs in Minnesota?

For Data Analyst Startup jobs in Minnesota, the most frequently searched job titles are:

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

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

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

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

Data Analyst Startup jobs near you
Infographic showing various Data Analyst Startup job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Senior Data Governance Analyst - Finance

Kanak Elite Services Inc

Minneapolis, MN • On-site

Contractor

Re-posted 5 days ago

Job description

Hello There,

My name is Amit Kumar, and I serve as the Sr. Technical Recruiter at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of “Data Governance Analyst” with our esteemed client. If you are interested then please share your updated resume at Amitkumar@kanakits.com .

Job Title: Data Governance Analyst

Location: Hybrid, St. Louis Park, MN, Strongly Preferred local -  (Hybrid On-site) 

Duration: 6-12 Months Contract

Job Description:

Program Priorities

  1. Stand up foundational framework — policies, procedures, ownership, training.
  2. Operationalize data quality and cataloging through Informatica IDMC.
  3. First data domain focus: Salesforce (global scope).
  4. Establish continuous governance cycles — profiling, quality measurement, stewardship feedback loops.
  5. Enable ethical, compliant data use across business, legal, and security functions.

Role Scope & Responsibilities

This is a tactical, execution-oriented role supporting Laurinda and the governance team.

Primary Focus Areas:

  • Work side-by-side with data stewards and data owners to:
    • Gather metadata, business definitions, thresholds, and quality rules.
    • Assist with profiling and cataloging activities in Informatica IDMC.
  • Partner with technical SMEs to extract and mine data from relevant systems (tables, schemas, etc.).
  • Build and maintain data health dashboards — ideally with Power BI or Tableau (nice-to-have).
  • Collaborate cross-functionally with Legal, Compliance, and Security to ensure proper tagging and handling of PII and sensitive data.
  • Identify and document data discrepancies, then surface insights to stewards for remediation.
  • Support configuration and setup of IDMC tooling (the environment exists but is largely empty).
  • Help Laurinda operationalize her roadmap and demonstrate measurable value to the business.

Skills & Experience

Must Have:

  • Hands-on experience with Informatica IDMC (Data Governance / Data Quality / Cataloging modules).
  • Strong SQL and Python skills for data profiling and analysis.
  • Experience collaborating across business, compliance, and technical stakeholders.
  • Excellent communication and stakeholder management skills — able to translate data concepts for non-technical audiences.
  • Demonstrated ability to “walk alongside” rather than “direct” — empathy-driven partnership approach.
  • Proven experience in data governance or master data management functions.

Nice to Have:

  • Power BI or Tableau experience for custom reporting and visualization.
  • Background in large, global organizations or regulated environments.
  • Familiarity with Salesforce data structures.

Success Attributes (Culture / Soft Skills)

Very clear about the personality and mindset required:

  • Collaborative, empathetic, and relationship-driven.
  • Change agent: Able to influence and gain buy-in at multiple levels.
  • Excellent communicator and listener.
  • “Read the room” emotional intelligence: Adapts tone and style to stakeholder context.
  • Trust-builder: Partners with, not over, business stakeholders.
  • Continuous improvement mindset: Views governance as an evolving discipline, not a one-time task.

Engagement Details

  • Role is initially 6–12 months with potential for conversion to FTE (“badge flip” encouraged).
  • will be building an internal governance team in 2026; 
  • Tools: Informatica IDMC, Salesforce, Power BI/Tableau.
  • Work Environment: “Scrappy startup mode” inside a global enterprise; highly collaborative