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Data Analyst Startup Jobs in Minnesota (NOW HIRING)

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 ...

New

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 ...

Strategy Analyst

Plymouth, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Strategy Analyst

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Strategy Analyst

Saint Cloud, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Strategy Analyst

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Strategy Analyst

Duluth, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Director, Data & Information Architecture

Minnetonka, MN · On-site

$165K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Enable trustworthy AI and analytics through strong semantic foundations. Key Responsibilities * Own ... Competitive package in a disruptive startup * Stock options * Health/Dental/Vision insurance with ...

Product Data Scientist

Minneapolis, MN · On-site

$100K - $140K/yr

  • Retirement

  • PTO

As our Product Data Scientist , you'll bring rigorous behavior analysis and predictive modeling to ... Scale meets startup energy. With more than 20 years of impact and a strong market presence, we're ...

Prepare test environments with appropriate configurations, test data, and settings for issue ... startup spirit- everyone pitching in and working to the same goals. * Our culture- We have a team ...

Showing results 21-40

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:

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 Clinical Data Manager

Abbott

Maple Grove, MN • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

178th of 540 rated manufacturers


Job description

Senior Manager, Study Database ManagementAbbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:Career development with an international company where you can grow the career you dream of.Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.An excellent retirement savings plan with high employer contributionTuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.The OpportunityOur medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks.We are recruiting a Senior Manager, Study Database Management to work on-site at our Maple Grove, MN location. This role provides strategic and operational leadership to ensure high-quality, compliant, and efficient database configuration activities that support clinical trial execution and data collection objectives. The Senior Manager is accountable for the overall quality, consistency, and timely delivery of study database configuration activities across the clinical development portfolio, ensuring alignment with organizational objectives, data standards, and study execution timelines. The Senior Manager drives the implementation and governance of database standards, conventions, and processes across studies and programs while ensuring alignment with organizational data strategies. This position partners cross-functionally with Clinical Data Management, Clinical Data Analytics, Data Systems, and Study Management to ensure timely database delivery, consistency in data collection, and seamless support for downstream analytics and reporting.Leadership and People ManagementLead, mentor, and develop a team which fosters a culture of accountability, collaboration, continuous improvement, and operational excellence.Establish team goals, performance expectations, and development plans aligned with departmental and organizational objectives.Provide oversight of resource allocation, workload management, and capacity planning to support study and portfolio priorities.Study Database Management OversightAccountable for the overall performance, quality, and timely delivery of study database configuration activities across the clinical development portfolio, proactively identifying risks, resolving resource constraints, and escalating issues as appropriate.Oversee the planning, execution, and delivery of clinical study database builds across multiple studies and therapeutic areas.Provide strategic guidance and issue resolution for complex database design and implementation challenges.Standards, Governance, and Data StrategyEstablish and enforce database development standards, conventions, and best practices across all clinical programs, ensuring compatibility with analytical tools, reporting platforms, and internal applications.Ensure clinical databases are aligned and mapped to organizational common data models to support downstream analytics, reporting, and regulatory submission requirements.Lead continuous improvement initiatives focused on standardization, operational efficiency, quality, scalability, and automation.Cross-Functional CollaborationEnsure direct reports effectively collaborate with cross-functional study teams and internal stakeholders to support study execution and data collection objectives.Oversee participation in protocol review, study planning, and study startup activities to ensure data collection requirements are accurately translated into database design and configuration.Strategic InitiativesContribute to departmental strategy and long-range planning related to database standards, technologies, operating models, and organizational capabilities.Define and execute the strategic roadmap for study database management capabilities, including standards governance, technology adoption, process optimization, and organizational scalability to support the evolving needs of the clinical development portfolio.Champion the adoption of organizational common data models and standardized data collection frameworks to improve consistency, reusability, and analytical readiness across the clinical development portfolio.Required QualificationsAssociate's degree7 years' related experiencePreferred QualificationsBachelor's degree in life sciences, computer science information systems or related field or an advanced degree8+ years' years' experience in data, systems or operations within healthcare, life sciences, clinical research, regulated industries or related environments3+ years' people leadership experience with demonstrated success developing, coaching and retaining high performing teams.Experience leading teams responsible for data collection systems, database configuration, data operations, business systems, or comparable operational functions.Demonstrated experience managing complex work portfolios, priorities, resources, and competing stakeholder needsExperience implementing standards, processes, quality controls, and operational best practices.Strong understanding of data quality, data governance, and data lifecycle concepts.Experience working with common data models, data standards, or enterprise reporting and analytics teams.Proven ability to lead teams through organizational, process, or technology change while maintaining employee engagement and performance.Strong collaboration, communication, and stakeholder management skills.


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