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Data Analyst Startup Jobs in Minnesota (NOW HIRING)

Data Analyst

Minneapolis, MN ยท On-site

$80 - $100/hr

Data Analyst Vertical Insure Minneapolis, Minnesota, United States About this position About ... a fast-paced startup environment, we'd love to meet you. Our Minneapolis office operates on a ...

Data Analyst

Minneapolis, MN ยท On-site

$75K - $110K/yr

... a fast-paced startup environment, we'd love to meet you. Our Minneapolis office operates on a ... As our Data Analyst , you'll transform complex data into actionable insights that influence ...

Data Analyst

Minneapolis, MN ยท On-site

$80 - $100/hr

... a fast-paced startup environment, we'd love to meet you. Our Minneapolis office operates on a ... As our Data Analyst , you'll transform complex data into actionable insights that influence ...

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

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 Sep 9, 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 cities in Minnesota are hiring for Data Analyst Startup jobs?

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

Infographic showing various Data Analyst Startup 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 $80,939 per year, or $38.9 per hour.

Data Analyst

Minneapolis, MN โ€ข On-site

$80 - $100/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 9 days ago


Job description

Data Analyst

Vertical Insure Minneapolis, Minnesota, United States

About this position

About Vertical Insure

Location: Minneapolis, MN (Hybrid - in office Tuesdays and Thursdays)

Vertical Insure is the leading embedded insurance platform built for vertical SaaS platforms. We offer customized insurance options tailored to each business and its customers, adding value and generating new revenue without extra overhead. Our approach is simple; we are removing the burden from buying insurance by embedding it into our partnersโ€™ existing product flow making financial protection effortless and timely.

We're looking for an analytical, detail-oriented Data Analyst to join our growing team. In this role, you'll work closely with cross-functional stakeholders to analyze business performance, build dashboards, identify trends, and provide insights that support strategic decision-making.

If you're naturally curious, enjoy solving business problems with data, and thrive in a fast-paced startup environment, we'd love to meet you.

Our Minneapolis office operates on a hybrid model, with in-office collaboration on Tuesdays and Thursdays. At this time, weโ€™re only considering local candidates.

Why This Role Matters

Data drives everything we do, from improving the customer experience to helping our partners grow and making smarter business decisions. As our Data Analyst , you'll transform complex data into actionable insights that influence strategy across Product, Sales, Customer Success, Finance, and Leadership. You'll help us understand what's working, identify opportunities for growth, and build the reporting infrastructure that enables us to scale.

This is an excellent opportunity for someone who enjoys wearing multiple hats, working with a variety of data sources, and helping build a data-driven culture.

What You'll Do

  • Develop and maintain dashboards, reports, and KPIs for business leaders.
  • Analyze customer, product, revenue, and operational data to identify trends and opportunities.
  • Partner with Product, Sales, Customer Success, Finance, and Leadership to answer key business questions.
  • Translate data into clear recommendations that drive business decisions.
  • Monitor business performance and proactively identify risks or opportunities.
  • Build and optimize complex SQL queries to extract data from various sources for deep-dive analysis.
  • Ensure data accuracy and consistency across reporting systems.
  • Support forecasting, planning, and executive reporting.
  • Assist in developing data definitions, documentation, and reporting standards.
  • Identify opportunities to automate reporting and improve processes.

Who You Are

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field.
  • 3+ years of experience in a Data Analyst or Business Analyst role.
  • Strong SQL skills and experience with data visualization tools.
  • Experience with BI tools such as Tableau, Power BI, or similar.
  • Advanced Excel or Google Sheets skills.
  • Experience analyzing large datasets and communicating findings to non-technical audiences.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication and presentation skills.Ability to manage multiple priorities in a fast-paced environment.

Experience That Goes the Extra Mile

  • Experience with product analytics tools.
  • Background in fintech, insurance, or vertical SaaS industries.

The estimated base salary for this role is: $75,000 - $110,000 per year, depending on the level of experience, job-related knowledge, and skills. We offer a comprehensive benefits package, including health, dental, life insurance, flexible PTO, 401(k), paid parental leave, and more.

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