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Data Analyst Startup Jobs in Wisconsin (NOW HIRING)

This role spans descriptive analytics (characterizing community trends and benchmarks), predictive ... Experience working in ambiguity and excitement about moving at startup pace-you like bringing ...

New

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Data Analyst Startup information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do data analyst startup jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst startup in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 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 Wisconsin?

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

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

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

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

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

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

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

Infographic showing various Data Analyst Startup job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Data Scientist

Polco

Madison, WI • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

New


Job description

Polco is hiring a Data Scientist! Polco runs some of the most important local government performance databases in the country, including GPAL, which is a 'Bloomberg Terminal of local government performance.' As a Data Scientist at Polco, you'll help synthesize advanced insights for our roughly 400 premier US local governments across 50 states. With an average population of over 90,000, you'll be positively impacting more than 36 million Americans.

This role spans descriptive analytics (characterizing community trends and benchmarks), predictive analytics (cloud-based machine learning models that show communities where their key metrics are headed), and causal analytics (contributing to the causal econometric work Polco is known for, with mentorship from our PhD economist).

If you're a mission-driven Data Scientist with a solid statistics foundation and are comfortable working in Python and SQL (R is a plus) on large, cloud-based datasets (Snowflake), this is the role for you.

While remote candidates across the US will be considered, our preferred candidate will be located in the Madison, WI area and work a hybrid schedule based out of Polco's headquarters office.

Key Responsibilities
  • Maintain and run Polco's recurring data processes, including GPAL and other analytic databases (data ingests, cleaning, dataset refreshes), survey weighting and benchmarking, and periodic model updates.
  • Build and improve statistical and predictive models using GPAL and our other databases (for example, our customer renewal model), and adapt existing models as our needs change.
  • With mentorship from Polco leadership, take on advanced client analytics projects-including impact and causal-inference studies-and communicate results clearly to internal and external stakeholders through written, in-person, and virtual presentations.
  • Partner with our Engineering Team to automate data workflows (ingest, cleaning, analytics, dashboards) and make statistical and AI tooling more accessible across the company.
  • Collaborate with our Marketing, Sales, Customer Success, and Survey Research Teams on internal analytics like renewal models.
  • Keep clear, organized, and professional documentation so your work is reproducible and transferable across the team, and contribute to Polco's online reporting tools and internal data apps.
Skills & Requirements
  • Bachelor's degree or equivalent experience in a quantitative field grounded in statistics (data science, statistics, economics, or similar). A graduate degree will be helpful, but not required.
  • 2+ years of applied, non-academic industry experience in data science or quantitative analysis. A strong applied-project or capstone portfolio can offset part of this.
  • Proficiency in Python and SQL (required).
  • Working knowledge of R, or willingness to read and learn it as some of our existing tools and internal apps are written in R.
  • A solid statistics foundation and genuine interest in causal inference and model building. Deep causal-inference expertise is not required (we'll mentor it), but the aptitude and curiosity to learn it are mandatory.
  • Experience building with agentic AI tools (e.g., Claude, Codex)-not just using them, but orchestrating them to run analyses, develop reusable workflows and skills, and extend what you can do statistically beyond what you could hand-code alone.
  • Strong written and verbal communication skills, including explaining technical work to non-technical stakeholders.
  • Experience working in ambiguity and excitement about moving at startup pace-you like bringing structure to messy, open-ended problems and adapt well when priorities shift.
  • Highly organized, detail-oriented, and able to manage multiple projects with minimal oversight.
Nice-to-have Experience
  • Survey research, public-sector, or civic-data experience.
  • Strong data-visualization skills and a 'storytelling with data' sensibility.
  • Experience automating or scaling data workflows in the cloud (Snowflake, etc.).
Perks & Benefits:
  • Exceptional benefits package including dental, medical, and vision coverage.
  • Hybrid work environment if located in the Madison, WI area; 100% remote if elsewhere.
  • Flexible work hours, 15 company holidays, and generous paid time off.
To Apply:

Apply for the Data Scientist position by submitting a resume, cover letter, and your personal information to the listing on Polco's careers page (both a cover letter and resume are required for full consideration). Please upload your application materials as PDFs. This position was opened on September 2, 2026 and will remain open until filled.