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Weekend Data Analyst Fintech 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 ... Background in fintech, insurance, or vertical SaaS industries. The estimated base salary for this ...

Data Analyst

Minneapolis, MN ยท On-site

$75K - $110K/yr

We're looking for an analytical, detail-oriented Data Analyst to join our growing team. In this ... Background in fintech, insurance, or vertical SaaS industries. What We Offer The estimated base ...

Data Analyst

Minneapolis, MN ยท On-site

$80 - $100/hr

We're looking for an analytical, detail-oriented Data Analyst to join our growing team. In this ... Background in fintech, insurance, or vertical SaaS industries. What We Offer The estimated base ...

Sr. Litigation Data Analyst

Eden Prairie, MN ยท On-site

$87K - $110K/yr

Under the direction of the Manager, Hosted Services the Senior Litigation Data Analyst, Hosted ... Available to work extended hours, including evenings and weekends * All employees are required to ...

Accounting Analyst

Bloomington, MN ยท On-site

$62K - $81K/yr

... with FinTech and Banking as a Service relationships. Positions within this job family are ... Support accurate and timely invoicing for BaaS relationships by reviewing source data, validating ...

Accounting Analyst

Bloomington, MN ยท On-site

$62K - $81K/yr

... with FinTech and Banking as a Service relationships. Positions within this job family are ... Support accurate and timely invoicing for BaaS relationships by reviewing source data, validating ...

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Weekend Data Analyst Fintech information

What is the difference between Weekend Data Analyst Fintech vs Weekend Data Analyst Banking?

AspectWeekend Data Analyst FintechWeekend Data Analyst Banking
Required CredentialsBachelor's in Data Science, Finance, or related field; familiarity with fintech toolsBachelor's in Finance, Economics, or related; knowledge of banking systems
Work EnvironmentStartups, online platforms, flexible hoursTraditional bank branches, financial institutions, similar flexible weekend roles
Employer & Industry UsageFintech companies, online lenders, digital payment firmsCommercial banks, retail banking, financial services

The main difference between Weekend Data Analyst Fintech and Weekend Data Analyst Banking lies in the industry focus and work environment. Fintech roles are often in innovative, digital-focused companies requiring familiarity with new financial technologies, while banking roles are within traditional financial institutions emphasizing banking systems and regulations. Both roles typically require similar data analysis skills but cater to different sectors within finance.

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

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

What cities in Minnesota are hiring for Weekend Data Analyst Fintech jobs?

Cities in Minnesota with the most Weekend Data Analyst Fintech job openings:

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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