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Statistical Programmer Jobs in Minneapolis, MN (NOW HIRING)

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Partner with data engineers, product partners and business leaders to identify meaningful opportunities to add value to the business utilizing statistics, advanced analytics and compelling ...

Genesis10

Principal Data Engineer - Remote

Eagan, MN · On-site

$120 - $150/hr

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field, or equivalent experience High School Diploma or GED required 8+ years of experience in Data Engineering ...

Heraeus

Quality Engineer III

Saint Paul, MN · On-site

$72K - $94K/yr

Quality Engineer III White Bear Lake About Heraeus Making displays foldable? Helping hearts beat ... Utilize statistical tools to monitor and assess product performance, identify root causes, and ...

New

Join the Imagine team!

Industrial Engineer

Shakopee, MN · On-site

$82K - $95K/yr

The Industrial Engineer is responsible for developing, evaluating, and improving manufacturing ... Exposure to Lean or Six Sigma tools, statistical process control, simulation, optimization, or ...

TSI, Inc.

Quality Engineer II

Shoreview, MN · On-site

$92K - $100K/yr

Quality Engineer II at TSI The Quality Engineer II performs data analysis, identifies trends, and ... Perform statistical analysis, identify trends, and implement changes related to defects in internal ...

TSI Incorporated

Quality Engineer II

Shoreview, MN · On-site

$92K - $100K/yr

Quality Engineer II at TSI The Quality Engineer II performs data analysis, identifies trends, and ... Perform statistical analysis, identify trends, and implement changes related to defects in internal ...

Tactile Medical

Senior Quality Engineer

Minneapolis, MN · On-site

$92K - $125K/yr

The Senior Quality Engineer provides quality engineering leadership for manufacturing and ... Apply structured problemsolving and statistical methods (e.g., 5 Whys, Fishbone, fault tree ...

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Showing results 21-40

All JobsStatistical Programmer JobsStatistical Programmer Jobs in Minneapolis, MN

Statistical Programmer information

See Minneapolis, MN salary details

$88.2K

$153.7K

$259.9K

How much do statistical programmer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for statistical programmer in Minneapolis, MN is $153,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,500.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What are the key skills and qualifications needed to thrive as a statistical programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

More about Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Minneapolis, MN? The most popular types of Statistical Programmer jobs in Minneapolis, MN are:
What are popular job titles related to Statistical Programmer jobs in Minneapolis, MN? For Statistical Programmer jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Minneapolis, MN look for? The top searched job categories for Statistical Programmer jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Statistical Programmer jobs? Cities near Minneapolis, MN with the most Statistical Programmer job openings:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Minneapolis, MN as of July 2026, with employment types broken down into 84% Full Time, 9% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $153,743 per year, or $73.9 per hour.

Senior Data Analyst

Royal Bank of Canada

Minneapolis, MN • On-site

$70K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Job Description
What is the opportunity?
As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet Mall, MN location. You will support decision making in the Wealth Management business and translate complex data into actionable insights. This is a unique opportunity to be able to leverage business strategy, data visualization, storytelling, descriptive and prescriptive analytics, statistics and programing skills to assist leaders in making critical decisions for their business.
If you have excellent communication, innovative thinking, attention to detail, and are looking for the next step in your career, we want to hear from you!
What will you do?
  • Engage and build relationships with banking and lending partners on major projects or initiatives, ensuring clear expectations on deliverables and timelines, understanding business priorities, and consulting on comprehensive analytics solutions and success criteria.
  • Collaborate with business partners to define and interpret business needs, design and document business requirements, apply best practices to negotiate deliverables, execute the requirements and perform required quality control processes to ensure highest quality.
  • Provide end-to-end analytics support, oversight and guidance for analytical initiatives including best practice design principles, approach recommendations, proper governance approaches and effective presentation methodologies in a fast-paced and rapidly changing environment.
  • Partner with data engineers, product partners and business leaders to identify meaningful opportunities to add value to the business utilizing statistics, advanced analytics and compelling visualizations.
  • Continually look for new ways to develop tools and information that help the business to measure and improve its processes and drive value for RBC clients and shareholders.
  • Analyze structured and unstructured datasets to solve complex business problems and tailor solutions that are scalable, verifiable and best fit the user's requirements.
  • Thorough design and development iteration, agile and documentation, review mission goals and ensure that final reporting and analytical solutions match client needs
  • Ensure adherence to governance, compliance, and data quality standards

What do you need to succeed?
Must-have
  • Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field
  • Five or more years of professional experience in data engineering, analytics and reporting, or related role
  • Hands-on experience managing and analyzing data in financial services (e.g. financial services KPIs, UHNW analytics, marketing, fixed income, advisory etc.)
  • Strong analysis skills, primarily investigating and explaining trends and variances using statistical techniques.
  • Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python, SQL, SAS and ETC).
  • Ability to prioritize and execute on multiple tasks as well as adjust to changing priorities and work effectively in a collaborative team environment.
  • Proven ability to present and communicate complex, technical materials in a way that facilitates decision making and drives outcomes to non-technical partners.

Nice-to-have
  • A self-starter with high energy and a driven curiosity to go beyond the obvious and provide ideas for innovation.
  • Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services.
  • Experience building and using AI/ML models, predictive analytics or statistical modeling to solve business problems.
  • Hands-on experience with Tableau, Power BI, Snowflake, Alteryx or similar tools.

What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Flexible work/life balance options
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Access to a variety of job opportunities across business

For Minnesota the good-faith expected salary range for the above position is $70,000 - $130,000 depending on factors including but not limited to the candidate's experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.
RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:
• Drives RBC's high performance culture
• Enables collective achievement of our strategic goals
• Generates sustainable shareholder returns and above market shareholder value
#LI-POST
Job Skills
Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents
Additional Job Details
Address:
250 NICOLLET MALL:MINNEAPOLIS
City:
Minneapolis
Country:
United States of America
Work hours/week:
40
Employment Type:
Full time
Platform:
WEALTH MANAGEMENT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-05-22
Application Deadline:
2026-08-31
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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