1

Junior Statistical Programmer Jobs in Minnesota (NOW HIRING)

Senior Quality Engineer

Winona, MN · On-site

$85K - $116K/yr

Utilize statistical analysis and quality tools. New Product Development * Support APQP activities ... Mentor technicians and junior engineers. * Lead cross-functional improvement projects. * Influence ...

Sustaining Engineer

Maple Grove, MN · On-site

$93K - $115K/yr

Mentor and guide junior engineers, sharing best practices and fostering a culture of knowledge ... Strong capability in statistical analysis to support verification, validation, and process ...

Senior Quality Engineer

Winona, MN · On-site

$95K - $113K/yr

Utilize statistical analysis and quality tools. New Product Development * Support APQP activities ... Mentor technicians and junior engineers. * Lead cross-functional improvement projects. * Influence ...

Utilize advanced tools such as Statistical Process Control (SPC), Design of Experiments (DOE), and ... Mentor and coach junior engineers, ensuring skill development and long-term professional growth.

Utilize advanced tools such as Statistical Process Control (SPC), Design of Experiments (DOE), and ... Mentor and coach junior engineers, ensuring skill development and long-term professional growth.

... guiding junior team members - Upholding standards in project deliverables - Building and ... Statistics - 2 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g ...

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

... junior colleagues. * Show advanced proficiency in programming languages such as Python or R for complex data analysis, automation, and statistical modeling. * Have expert-level skills in SQL ...

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

... junior colleagues. * Show advanced proficiency in programming languages such as Python or R for complex data analysis, automation, and statistical modeling. * Have expert-level skills in SQL ...

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Coach and mentor junior team members. * Design, develop, and deploy AI-powered solutions to address ... statistics, data modeling, and simulation * 1 years of experience with Generative AI frameworks ...

next page

Showing results 1-20

Junior Statistical Programmer information

What types of projects and tasks can a Junior Statistical Programmer expect to work on in their first year?

As a Junior Statistical Programmer, you will typically work on tasks such as cleaning and organizing datasets, writing basic statistical programming code (often in SAS or R), and assisting in the preparation of tables, listings, and figures for clinical trial reports. You may also support more senior programmers by validating code, performing quality checks, and helping to document programming processes. These responsibilities provide excellent hands-on experience with real-world data and allow you to gradually take on more complex projects as you build your skills and confidence.

What are the key skills and qualifications needed to thrive as a Junior Statistical Programmer, and why are they important?

To thrive as a Junior Statistical Programmer, you need a solid foundation in statistics, data analysis, and programming skills—often supported by a degree in mathematics, statistics, or a related field. Familiarity with statistical software such as SAS or R and knowledge of data management systems are typically required, with certifications in these tools being advantageous. Attention to detail, problem-solving, and effective communication help you stand out in this role. These skills and qualities are crucial for ensuring accurate data analysis, clear reporting, and successful collaboration within research or clinical trial teams.

What does a Junior Statistical Programmer do?

A Junior Statistical Programmer assists in the analysis and management of clinical trial data using statistical software such as SAS or R. They work under the guidance of senior programmers and statisticians to create, validate, and maintain datasets, generate tables, listings, and figures, and ensure data accuracy and integrity. Their role is crucial in supporting research and regulatory submissions in industries like pharmaceuticals and healthcare.

What is the difference between Junior Statistical Programmer vs Statistical Programmer?

AspectJunior Statistical ProgrammerStatistical Programmer
Required CredentialsBachelor's degree in statistics, mathematics, or related field; some experience or internshipBachelor's or master's degree; more experience in programming and statistical analysis
Work EnvironmentEntry-level, supervised tasks, learning on the jobMore independent, handling complex analyses and projects
Employer & Industry UsagePharmaceuticals, biotech, clinical research organizationsSame industries, with increased responsibilities

The main difference between a Junior Statistical Programmer and a Statistical Programmer lies in experience and responsibility. Junior roles focus on learning and supporting tasks, while Statistical Programmers handle more complex analyses independently. Both roles are common in clinical research and biotech industries, with progression often leading from junior to senior positions.

What are the most commonly searched types of Statistical Programmer jobs in Minnesota? The most popular types of Statistical Programmer jobs in Minnesota are:
Infographic showing various Junior Statistical Programmer job openings in Minnesota as of July 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Strategy Analyst

Mikinok Enterprises

Minneapolis, MN • On-site

Full-time

Medical, Retirement, PTO

Re-posted yesterday


Job description

Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback.

We’re looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok’s subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You’ll lead strategy development projects across marketing, underwriting, and collections - using data, testing, and sound risk judgement.

You’ll partner closely with Data Science, Engineering, Project, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance

In this role, you will...

  • Design, implement, and optimize credit strategies across marketing, underwriting, fraud, loan amount and term assignment, and collections
  • Own policy development and changes including testing, rollout, and post-implementation monitoring
  • Analyze portfolio performance using SQL/Python and BI tools to identify trends, risks, and opportunities within key metrics
    • Cost for new account originated
    • Default rates, Delinquency rates
    • Loss rates and unit economics
    • Repeat behavior and churn
  • Identify emerging risks and upsides. Recommend proactive strategy adjustments
  • Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle, while controlling downside risks
  • Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle
  • Prepare and present recommendations to senior leadership; present project insights & updates at company-wide quarterly business reviews (QBR)
  • Mentor junior analysts and help establish best practice in data analytics for credit team

Requirements

Mandatory Qualifications

  • Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a highly competitive school.
  • Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience)
  • Strong proficiency and in SQL and experience using Python for analysis (3+ years)
  • Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years)
  • Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools.
  • Ability to work in a fast-paced, collaborative environment
  • Strong interpersonal, leadership, and communication skills

Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Desired Qualifications

  • Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a highly competitive school.
  • 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau
  • Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data
  • Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering
  • Exposure to collections strategy or recovery optimization

Benefits

  • The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians
  • Competitive salary and bonus structure
  • Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO
  • Company-sponsored professional development and training opportunities

About the Company

Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the “Tribe”).


Mikinok Enterprises is an integral part of the Tribe’s economic development efforts, and it is an essential provider of employment opportunities on the Tribe’s reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok’s policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.