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Data Analyst Statistician Jobs (NOW HIRING)

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

The Data Analyst will discover valuable information in large data sets and help Tactile Medical ... The ideal candidate will have a strong desire to use mathematical and statistical expertise and ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring ...

Data Analyst

New York, NY · On-site +1

Key Responsibilities: - Collect and organize large sets of data from various sources - Analyze data using statistical methods and data visualization techniques - Identify patterns and trends in data ...

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

The Data Analyst will discover valuable information in large data sets and help Tactile Medical ... The ideal candidate will have a strong desire to use mathematical and statistical expertise and ...

Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis. * Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other ...

Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis. * Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other ...

The Lead Data Analyst is responsible for driving data-driven decision-making across the ... Conduct in-depth statistical analysis and predictive modeling to uncover trends, correlations and ...

The Lead Data Analyst is responsible for driving data-driven decision-making across the ... Conduct in-depth statistical analysis and predictive modeling to uncover trends, correlations and ...

The Lead Data Analyst is responsible for driving data-driven decision-making across the ... Conduct in-depth statistical analysis and predictive modeling to uncover trends, correlations and ...

Bachelor's Degree in Data Analytics, Statistics, Computer Science, Information Systems, or related ... field. * 3 or more yearsof demonstratedexperience in data analysis, business intelligence, and/or ...

Support predictive and prescriptive analytics initiatives by leveraging statistical models and data-driven recommendations. * Monitor and analyze real-time data feeds and operational metrics where ...

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Data Analyst Statistician information

See salary details

$50.5K

$86.9K

$116.5K

How much do data analyst statistician jobs pay per year?

As of Jul 23, 2026, the average yearly pay for data analyst statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst Statistician, you need a strong background in statistics, data analysis, and quantitative research, typically supported by a degree in mathematics, statistics, or a related field. Proficiency in statistical software such as R, Python, SAS, or SQL databases, as well as familiarity with data visualization tools like Tableau or Power BI, is essential. Critical thinking, problem-solving, and clear communication skills help you interpret data accurately and convey insights to stakeholders. These skills ensure data-driven decision-making and enable organizations to extract actionable insights from complex data sets.

How do Data Analyst Statisticians typically collaborate with other departments within an organization?

Data Analyst Statisticians often work closely with teams such as marketing, finance, product development, and operations. They gather requirements from stakeholders, translate business questions into analytical tasks, and present findings in a way that supports data-driven decision-making. Effective communication is key, as they must explain complex statistical concepts to non-technical colleagues and ensure that analyses align with business goals. Regular cross-functional meetings and collaborative projects are common, fostering a dynamic and interactive work environment.

What are Data Analyst Statisticians?

Data Analyst Statisticians are professionals who use statistical methods and data analysis techniques to collect, interpret, and present quantitative data. Their primary goal is to help organizations make informed decisions by identifying trends, patterns, and insights from complex datasets. They often work with various tools and software to clean, process, and visualize data, as well as to perform predictive modeling and hypothesis testing. Data Analyst Statisticians are employed in diverse industries such as healthcare, finance, government, and technology.

What is the difference between Data Analyst Statistician vs Data Scientist?

AspectData Analyst StatisticianData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysisBachelor's or master's in computer science, statistics, or related; often includes programming certifications
Work EnvironmentBusiness, healthcare, finance; focus on data interpretation and reportingTech companies, research labs; focus on building models and algorithms
Employer & Industry UsageWidely used in corporate analytics, government, healthcareCommon in tech, e-commerce, and research sectors

Data Analysts and Statisticians primarily focus on analyzing data, creating reports, and applying statistical methods. Data Scientists often build predictive models, utilize advanced programming, and work on complex data problems. While both roles require strong analytical skills, Data Scientists typically have a broader technical skill set and work on more complex projects.

More about Data Analyst Statistician jobs
What cities are hiring for Data Analyst Statistician jobs? Cities with the most Data Analyst Statistician job openings:
What states have the most Data Analyst Statistician jobs? States with the most job openings for Data Analyst Statistician jobs include:
Infographic showing various Data Analyst Statistician job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

$75K - $90K/yr

Full-time

Posted 27 days ago


Job description

Restaurant Depot is the leading wholesale distributor of food, equipment and supplies to independent grocery retailers and foodservice operators across the United States.


We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science projects that have far-reaching implications for all stakeholders across our organization.


Job Description

  1. 3 or more years’ experience in a data analyst or data scientist role
  2. Demonstrated ability to take analytics/reporting/data science projects from start to finish – including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations
  3. Advanced knowledge of Python – especially with respect to the data analysis, statistical modelling, and machine learning stacks
  4. Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL queries and stored procedures required
  5. Experience in extracting, cleaning, validating, and analyzing datasets from different data sources with varying levels of data quality
  6. Experience writing DAGs in Apache Airflow
  7. Experience using Docker to containerize workflows
  8. Experience interacting with *nix OS’ through the command line
  9. Experience with Plotly Dash or Streamlit
  10. Familiarity with Selenium is a plus
  11. Familiarity with numerical optimization is a plus
  12. Bachelor’s Degree or higher in Analytics / Statistics / Data Science or other related subjects
  13. Strong working knowledge of utilizing standard MS Office tools (Excel, Word, and Power Point)
  14. Ability to multi-task and adjust priorities based on workload and direction from management
  15. Self-motivated to document processes and teach others


Candidates that do not demonstrate all of the above are still strongly encouraged to a

apply


  1. Applicants should submit a paragraph summarizing one of their data science projects – the challenges they faced and how they overcame it
  2. Applicants should also provide links to their GitHub profiles or portfolios