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Entry Level Statistics Jobs in Wisconsin (NOW HIRING)

Strong background in statistical analysis of large and complex datasets. * Knowledge of genomewide ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Mill Technician

Pembine, WI

$16.50 - $22/hr

Analyzes statistical process control (SPC) data to proactively identify trends and potential issues ... Ability to lead and direct teams Education/Experience * BS Engineering * Entry level engineering ...

Swim Instructor.

Fitchburg, WI · On-site

$14 - $16/hr

... drowning statistics. Whether you are in the pool leading instruction for our swimmers or warmly ... Paid on-the-job training * Entry level positions - no previous experience required * Flexible ...

... Statistics - Demonstrating proficiency in data engineering platforms like Databricks - Utilizing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Deburring Technician

Hudson, WI · On-site

$22 - $25/hr

Manufacturing | Type: Full-Time, Onsite | Experience: Entry-Level / Prior Experience a Plus ... Stat. §§ 111.31-111.395), we do not discriminate on the basis of race, color, creed, religion ...

Deburring Technician

Hudson, WI · On-site

$17.50 - $21.25/hr

Manufacturing | Type: Full-Time, Onsite | Experience: Entry-Level / Prior Experience a Plus ... Stat. §§ 111.31-111.395), we do not discriminate on the basis of race, color, creed, religion ...

Deburring Technician

Hudson, WI · On-site

$22 - $25/hr

Manufacturing | Type: Full-Time, Onsite | Experience: Entry-Level / Prior Experience a Plus ... Stat. §§ 111.31-111.395), we do not discriminate on the basis of race, color, creed, religion ...

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Entry Level Statistics information

What are entry level statistics jobs?

Entry level statistics jobs are positions designed for individuals who are just starting their careers in data analysis and statistical fields. These roles typically involve tasks such as collecting, analyzing, and interpreting data, as well as creating reports and visualizations to support decision-making. Common job titles include statistical assistant, data analyst, or research assistant. Entry level positions usually require a bachelor’s degree in statistics, mathematics, or a related field, and proficiency in statistical software like Excel, R, or SPSS.

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

To thrive as an Entry Level Statistician, you need a solid background in mathematics, statistical analysis, and a relevant degree such as statistics, mathematics, or a related field. Familiarity with statistical software like R, SAS, SPSS, or Python is typically required, and knowledge of data visualization tools is a plus. Strong analytical thinking, attention to detail, and effective communication skills help you interpret and explain complex data findings to diverse audiences. These competencies are crucial for delivering accurate insights and supporting data-driven decision-making within organizations.

What is the difference between Entry Level Statistics vs Data Analyst?

AspectEntry Level StatisticsData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, academia, entry-level corporate rolesBusiness, finance, healthcare, technology sectors
Employer UsageAcademic institutions, research organizations, entry-level corporate rolesCompanies analyzing data to inform decisions, reporting, and strategy

Entry Level Statistics and Data Analyst roles often require similar educational backgrounds, focusing on statistical and analytical skills. While Entry Level Statistics may lean more towards theoretical and research-oriented tasks, Data Analysts typically work directly with business data to generate insights. Both roles are common in various industries and serve as foundational positions for careers in data and analytics.

What types of projects or tasks can I expect to work on in an entry-level statistics role?

In an entry-level statistics position, you can expect to work on tasks such as collecting, cleaning, and organizing data sets, performing basic statistical analyses like descriptive statistics or regression, and assisting in the preparation of reports or presentations. You may also support senior statisticians with experimental design, data visualization, and quality control checks. Collaboration with team members from departments like data science, research, or business analytics is common, and you'll often use statistical software such as R, SAS, or Python to carry out your work.
What are the most commonly searched types of Statistics jobs in Wisconsin? The most popular types of Statistics jobs in Wisconsin are:
What are popular job titles related to Entry Level Statistics jobs in Wisconsin? For Entry Level Statistics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Entry Level Statistics jobs in Wisconsin look for? The top searched job categories for Entry Level Statistics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Entry Level Statistics jobs? Cities in Wisconsin with the most Entry Level Statistics job openings:

Full-time

Posted 28 days ago


Job description

The Quantitative Geneticist at URUS is responsible for producing industry-leading bovine genetics through innovative quantitative genetics analysis and technical expertise. This role involves development of innovative approaches to genetic advancement with hands-on data analysis and analytical tasks to support scientific and operational excellence with operational goals to deploy genomic and genetic selection tools within the PEAK breeding program. 

Reporting to the Chief Science Officer of Acceligen, who leads the team in the Genetic Advancement and Trait Discovery as part of the Innovation group at URUS. The Quantitative Geneticist will ideally be based in Madison, WI. 

RESPONSIBILITIES 

Research and Development 

  • Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software.
  • Utilize genomic data and/or machine learning to enhance prediction models. 

  • Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran

  • Design and refine software pipelines that empower end-users to work independently. 

  • Use data-driven analysis to support project decision-making and breeding program optimization

  • Identify opportunities for innovation by actively following scientific developments in genetics, translating them into practical applications for URUS.

  • Ensure accuracy, reliability, and timely delivery of research outputs. 

 Strategic Communication and Planning 

  • Prepare materials for URUS internal and external education channels. 

  • Report on project status promptly and professionally. 

  • Contribute to long-term research and innovation strategies. 

  • Actively participate in team and cross-functional meetings. 

  • Attend scientific, technical, and commercial events to support knowledge exchange and visibility. 

Technical and Operational Support 

  • Provide technical and operational support to URUS breeding programs to improve output and efficiency. 

  • Interpret genetic evaluation results and communicate upcoming changes. 

  • Monitor and troubleshoot trends in genetic rankings and performance data. 

  • Maintain up-to-date professional and technical expertise relevant to genetics and operations. 

  • Deploy genetic diversity management tools within the breeding program. 

PROFESSIONAL QUALIFICATIONS AND EXPERIENCE 

  • Ph.D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a related field. 

  • Knowledge of dairy or beef cattle production preferred. 

  • Technical and Scientific Expertise

    • Demonstrated experience with genomic evaluation processes, including data ingestion and integration, genotype imputation, variance component estimation, and breeding value prediction.

    • Strong background in statistical analysis of large and complex datasets.

    • Knowledge of genomewide association analysis (GWAS).

    • Familiarity with dairy or beef cattle production systems (preferred).

  • Programming and Software Skills

    • Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R, Python, and SQL.

    • Experience working in cloud environments, particularly Microsoft Azure and Azure Databricks

    • Proficient in Microsoft Office applications.

  • Excellent communication skills with fluency in English.

  • Ability to build strong, effective relationships across teams and organizational levels.

  • Skilled at engaging with stakeholders from entrylevel employees to executive leadership.

  • Strong interpersonal, analytical, and decisionmaking abilities.

  • Effective timemanagement skills and the ability to balance multiple priorities.

  • Intellectual curiosity with a commitment to continuous learning and identifying new opportunities.

  • Willingness to travel occasionally.

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.