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Entry Level Statistical Programmer Jobs in Minnesota

SynergisticIT

Junior Big Data Analyst

Saint Paul, MN

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates ...

Ames Construction

Data Analyst

Burnsville, MN

We are looking for an entry-level Data Analyst to join our team and support the modernization of ... Essential Functions * Back-End Development (Data Engineering & Modernization): Building out data ...

Pwc

CTIO-AI Engineer-Sr Associate

Minneapolis, MN

$55K - $187K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Fanatics, Inc.

Associate Product Quality

Winona, MN

$48K - $52K/yr

... engineering, and suppliers to ensure compliance is built into products from development through ... Knowledge of inspection, training, quality auditing and statistics. * Ability to define and ...

Fanatics, Inc.

Associate Product Quality

Winona, MN · On-site

$48K - $52K/yr

... engineering, and suppliers to ensure compliance is built into products from development through ... Knowledge of inspection, training, quality auditing and statistics. * Ability to define and ...

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All JobsStatistical Programmer JobsEntry Level Statistical Programmer JobsEntry Level Statistical Programmer Jobs in Minnesota

Entry Level Statistical Programmer information

See Minnesota salary details

$82.8K

$144.3K

$243.9K

How much do entry level statistical programmer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level statistical programmer in Minnesota is $144,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,400.00 and $156,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Statistical Programmer, and why are they important?

To thrive as an Entry Level Statistical Programmer, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools, statistical software (like SAS or R), and version control systems is typically required, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for this role. These skills and qualities are crucial for accurate data analysis, efficient collaboration, and producing reliable results in data-driven environments.

What are some common challenges faced by entry level statistical programmers when transitioning from academic projects to real-world clinical trial data?

Entry level statistical programmers often find the transition to industry challenging due to the complexity of real-world clinical trial data, strict regulatory requirements, and the need to adhere to standardized processes like CDISC. Unlike academic projects, the work environment emphasizes collaboration with statisticians, data managers, and clinical teams, making communication and teamwork vital. Additionally, maintaining high-quality documentation and learning to use industry-specific tools and programming standards are crucial for success. Seeking mentorship and being proactive in learning these processes can help new programmers adapt more quickly.

What does an Entry Level Statistical Programmer do?

An Entry Level Statistical Programmer assists in analyzing data using statistical software, such as SAS or R, primarily in industries like pharmaceuticals, healthcare, or research. They are responsible for coding, cleaning, and organizing datasets, generating tables, listings, and figures, and ensuring data accuracy. These programmers work closely with statisticians and data managers to support clinical trials or research projects. The role serves as a foundation for more advanced programming and data analysis positions.

What is the difference between Entry Level Statistical Programmer vs Data Analyst?

AspectEntry Level Statistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; basic programming skills (SAS, R)Bachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical or clinical research settings; focus on data processing and programmingVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsCorporations, consulting firms, healthcare organizations

While both roles involve working with data, Entry Level Statistical Programmers primarily focus on programming and data management within clinical or research settings, whereas Data Analysts interpret data to inform business decisions across various industries.

What are the most commonly searched types of Statistical Programmer jobs in Minnesota? The most popular types of Statistical Programmer jobs in Minnesota are:
What are popular job titles related to Entry Level Statistical Programmer jobs in Minnesota? For Entry Level Statistical Programmer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Entry Level Statistical Programmer jobs in Minnesota look for? The top searched job categories for Entry Level Statistical Programmer jobs in Minnesota are:
Entry Level Statistical Programmer jobs near you
Entry-Level Cloud Data Analyst

Entry-Level Cloud Data Analyst

SynergisticIT

Minneapolis, MN

Full-time

Posted 3 days ago

Job description

SYNERGISTICIT for the past 15 years we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
Candidates can benefit from skill enhancement if they fall into the below categories.
Candidates who Lack Experience or are freshers with No actual on Job experience with projects with clients Have had a break in careers Lack Technical Competency or skills being demanded by clients Different visa candidates (Like OPT/H4EAD/L2EAD ) who want to get employed and settle down in the USA please check the below links to see success outcomes of our candidates https://www.synergisticit.com/candidate-outcomes/
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
REQUIRED SKILLS For Java /Software Programmers
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Project work on the skills
• Knowledge of Core Java , javascript , C++ or software programming
• Spring boot, AWS, Microservices, Docker, Jenkins and REST API's experience
• Excellent written and verbal communication skills
For data Science/Data Analyst Machine learning
REQUIRED SKILLS
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Project work on the technologies needed
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Knowledge of Statistics, Tableau, Powerbi, Snowflake, Databricks, Python, Computer Vision, data visualization tools
• Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis
Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates
please only apply to the posting

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