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Director Statistical Programming Jobs in Minneapolis, MN

Sr. Program Quality Engineer

Plymouth, MN ยท On-site

$92K - $125K/yr

MCC Sr Director of Manufacturing POSITION DESCRIPTION SUMMARY The Senior Quality Engineering ... Solid Quality Tools skills (Statistics, DOE, FMEA, MSA) * Excellent people skills, with proven ...

Reliability Engineer

Moundsview, MN ยท On-site

$103K - $130K/yr

Recommend design and test methods, as well as statistical process control procedures, to achieve ... Provide guidance, coaching, and training to lower-level professionals, and may direct or review the ...

As a key member of the Quality team, the Senior Director Qualitywill be responsible for developing ... Utilize quality metrics, statistical techniques, and quality engineering tools to improve product ...

Process Engineering Manager

Minneapolis, MN ยท On-site

$100K - $120K/yr

The Process Engineering Manager reports to the Director of Quality and Engineering. Essential Job ... of statistical methods including statistical problem solving. ยง Highly developed written and ...

Sr. Data Engineer

Edina, MN ยท On-site

$125K - $165K/yr

As a Senior Data Engineer at Palomar, you will lead the design, development, and optimization of ... statistical reporting across all direct admitted business, in partnership with Actuarial and ...

Showing results 21-40

Director Statistical Programming information

See Minneapolis, MN salary details

$160.2K

$292.4K

$359.1K

How much do director statistical programming jobs pay per year?

As of Sep 3, 2026, the average yearly pay for director statistical programming in Minneapolis, MN is $292,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $271,900.00 and $336,600.00 per year, depending on experience, location, and employer.

What is a director statistical programming?

The job of a director of statistical programming oversees the development and implementation of SAS programs to produce statistical analysis datasets. In this career, your responsibilities include managing the team that generates tables and graphs using the SAS programs for applications such as clinical studies. Other duties include participating in the planning and review of statistical analysis and studying reports, abstracts, and manuscripts as required. You collaborate with project leads to contribute to department operations and standards, such as CDISC for clinical research.

What does a director statistical programming do?

A Director of Statistical Programming oversees teams responsible for the programming and analysis of clinical trial data, ensuring the accuracy and integrity of statistical outputs. They set departmental strategies, manage resources, and ensure compliance with regulatory requirements and industry standards. This role also involves collaborating with other departments, such as biostatistics and clinical operations, to support the successful delivery of statistical analyses for drug development and regulatory submissions. They play a key leadership role in mentoring staff and advancing programming processes and technologies.

What are the key skills and qualifications needed to thrive as a director statistical programming?

To thrive as a Director of Statistical Programming, you need advanced expertise in statistical analysis, programming languages such as SAS or R, and a strong background in clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory submission processes, CDISC standards, and project management tools is essential, as are relevant certifications like SAS Certified Professional. Leadership, effective communication, and strategic thinking are key soft skills for managing teams and collaborating across departments. These skills ensure high-quality data outputs, regulatory compliance, and successful execution of complex clinical development projects.

How does a director statistical programming typically collaborate with cross-functional teams in a pharmaceutical or biotech company?

A Director of Statistical Programming regularly works with biostatistics, clinical data management, regulatory affairs, and medical writing teams to ensure that statistical deliverables meet project timelines and regulatory requirements. They coordinate programming efforts across multiple studies, provide leadership and mentorship to programming staff, and help resolve technical or resource-related challenges. Effective collaboration is essential to streamline workflows, maintain data integrity, and ensure clear communication of statistical results within the organization.

What are popular job titles related to Director Statistical Programming jobs in Minneapolis, MN?

For Director Statistical Programming jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Director Statistical Programming jobs in Minneapolis, MN look for?

The top searched job categories for Director Statistical Programming jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Director Statistical Programming jobs?

Cities near Minneapolis, MN with the most Director Statistical Programming job openings:

Senior Credit Strategy Analyst

Mikinok Enterprises

Minneapolis, MN โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 12 days ago


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 from acquisition and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters.

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

In this role, you will...

  • Design, implement, and optimize strategies spanning marketing, underwriting, model monitoring, fraud, loan sizing/terms, and — especially — collections and recovery, where disciplined segmentation and treatment testing directly move the bottom line
  • Own policy development and changes including testing, rollout, and post-implementation monitoring
  • Analyze portfolio performance using SQL/Python and BI to OLS 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 
  • Recommend proactive strategy adjustments based on identified emerging risks and upsides.  
  • Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk
  • Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle 
  • Translate technical findings into clear recommendations for senior leadership and present 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 competitive school.
  • Elite quantitative & analytical skills.  Proven ability to drive analytical projects and insights (3+ years experience)
  • Strong proficiency in SQL and/or 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 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.