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Junior Statistical Analyst Jobs (NOW HIRING)

Position: Junior Data Analyst Location: Chicago, illinois Experience: 0-3 Years Mode of Working ... statistical concepts Familiarity with SQL, Excel, and at least one BI tool (Power BI/Tableau ...

The Junior Product Analyst will manage reporting, segmentation, and optimize communication ... statistics, economics) or equivalent 2+ years in industry experience • Advanced SQL skills • ...

Statistical Analysis Plan (SAP) Development * Draft SAPs for projects that require use of advanced statistical methodologies * Advise junior and middle level staff on methodology and approach on ...

Supervise up to two Master's-level statisticians and guide junior data analysts or postdocs in statistical work. * Maintain and enhance quality assurance in data analysis and reporting in accordance ...

Supervise up to two Master's-level statisticians and guide junior data analysts or postdocs in statistical work. * Maintain and enhance quality assurance in data analysis and reporting in accordance ...

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Junior Statistical Analyst information

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$32

$53

How much do junior statistical analyst jobs pay per hour?

As of May 30, 2026, the average hourly pay for junior statistical analyst in the United States is $32.12, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $35.34 per hour, depending on experience, location, and employer.

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

To thrive as a Junior Statistical Analyst, you need a solid background in statistics, data analysis, and mathematics, usually supported by a bachelor’s degree in a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, as well as proficiency in Excel, is typically required. Strong attention to detail, critical thinking, and clear communication skills help you interpret data and present findings effectively. These skills ensure accurate analysis, actionable insights, and effective collaboration with stakeholders across projects.

What are some common challenges a Junior Statistical Analyst may face when transitioning from academic work to a professional analytics team?

One common challenge for Junior Statistical Analysts is adapting to the fast-paced nature of business environments, where deadlines can be tight and priorities may shift quickly. Unlike academic projects, real-world data is often messy and incomplete, requiring resourcefulness in data cleaning and validation. Additionally, analysts must learn to communicate technical findings in a clear, actionable manner for non-technical stakeholders, which is a skill that develops with experience. Collaborating with cross-functional teams and understanding business objectives are also crucial aspects that may differ from academic settings.

What are Junior Statistical Analysts?

Junior Statistical Analysts are entry-level professionals who collect, analyze, and interpret data to help organizations make informed decisions. They use statistical methods and software tools to identify trends, create reports, and support senior analysts or data scientists. Their work often involves preparing data, running basic statistical tests, and presenting findings in clear, actionable formats. Junior Statistical Analysts typically work under supervision while gaining experience and developing their analytical skills.

What is the difference between Junior Statistical Analyst vs Data Analyst?

AspectJunior Statistical AnalystData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; some roles may require internshipsBachelor's in Data Science, Statistics, or related field; often includes certifications in data tools
Work EnvironmentEntry-level, team-based, often in finance, healthcare, or tech industriesVaries from entry to senior levels; corporate, consulting, or tech settings
Employer & Industry UsageCommon in research, finance, healthcare, and government sectorsWidely used across industries including marketing, finance, tech, and consulting

While both roles involve data handling and analysis, Junior Statistical Analysts focus more on statistical methods and data modeling, whereas Data Analysts often work with broader data management and visualization tasks. The roles are closely related, with overlapping skills and work environments, but differ slightly in focus and scope.

What cities are hiring for Junior Statistical Analyst jobs? Cities with the most Junior Statistical Analyst job openings:
What are the most commonly searched types of Statistical Analyst jobs? The most popular types of Statistical Analyst jobs are:
What states have the most Junior Statistical Analyst jobs? States with the most job openings for Junior Statistical Analyst jobs include:
Infographic showing various Junior Statistical Analyst job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 74% Full Time, 9% Part Time, 2% Temporary, and 13% Contract. Highlights an 78% Physical, 11% Hybrid, and 11% Remote job distribution, with an average salary of $66,802 per year, or $32.1 per hour.
Jr. Data Analyst

Jr. Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Posted 19 days ago


Job description

Role Summary

The Junior Data Analyst supports data collection, analysis, and reporting efforts to help teams make informed business decisions. This role focuses on transforming raw data into clear insights through dashboards, reports, and basic analytical models, while developing strong data and business acumen.

Key Responsibilities
  • Collect, clean, and validate data from multiple sources

  • Create and maintain reports, dashboards, and visualizations

  • Analyze trends, patterns, and performance metrics

  • Support ad hoc data requests from cross-functional teams

  • Assist in documenting data definitions, processes, and standards

  • Collaborate with senior analysts and stakeholders to understand business needs

  • Identify data quality issues and escalate inconsistencies

  • Learn and apply best practices in data analysis and governance

Required Skills & Qualifications
  • Bachelor's degree in Data Analytics, Statistics, Business, Economics, or related field (or equivalent experience)

  • Basic proficiency in Excel or Google Sheets

  • Working knowledge of SQL and/or data querying tools

  • Familiarity with data visualization tools (Power BI, Tableau, Looker, or similar)

  • Strong attention to detail and analytical thinking

  • Ability to communicate findings clearly to non-technical audiences

Preferred Skills
  • Exposure to Python or R

  • Understanding of basic statistics and KPIs

  • Experience working with large datasets or HR/Finance/Operations data

  • Curiosity and willingness to learn new tools and methodologies