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Statistician Data Manager Jobs (NOW HIRING)

The Manager, Statistical Reporting & Insurance Analytics is responsible for leading a team of data and statistical reporting professionals in the delivery of actuarial, regulatory, operational, and ...

$68K/yr

Data Manager Classification: Exempt Salary: $68,000/year Reports to: System-Wide Director and ... Bachelor's Degree in Business, Economics, Statistics, or a related area * Servant leadership ...

... statistical analyses. 9. Produce reports, tables, and presentations of the data. This shall also ... data management including analyzing/manipulating data from large relational databases of ...

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Statistician Data Manager information

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$50.5K

$86.9K

$116.5K

How much do statistician data manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for statistician data manager 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 is a statistician data manager?

Statistician Data Managers are professionals who combine expertise in statistics with data management skills to collect, organize, analyze, and interpret large data sets. They ensure data quality and integrity, develop statistical models, and often support research projects or business decision-making. Their role involves designing data collection systems, managing databases, and applying statistical methods to extract meaningful insights. Statistician Data Managers work in various fields, including healthcare, finance, government, and academia.

How does a statistician data manager typically collaborate with other departments within an organization?

Statistician Data Managers often work closely with a variety of departments, including research, IT, and clinical or business teams, depending on the industry. They are responsible for ensuring data integrity and statistical accuracy, which requires frequent communication with data analysts, project managers, and subject matter experts to define data requirements and reporting standards. Collaborative efforts often involve designing data collection protocols, developing statistical models, and interpreting analysis results to support informed decision-making. This cross-functional teamwork not only enhances data quality but also fosters a deeper understanding of organizational goals.

What are the key skills and qualifications needed to thrive as a statistician data manager, and why are they important?

To thrive as a Statistician Data Manager, you need expertise in statistical analysis, data management, and a relevant degree in statistics, mathematics, or a related field. Familiarity with statistical software (such as SAS, R, or SPSS), database systems (like SQL), and data visualization tools is typically required. Strong attention to detail, problem-solving skills, and effective communication are essential soft skills for this role. These skills ensure accurate data handling, insightful analysis, and clear reporting, which drive informed decision-making in organizations.

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

AspectStatistician Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Data Science, or related field; certifications like CAP or DASCABachelor's in Statistics, Data Analysis, or related field; certifications are optional
Work EnvironmentData management teams, research institutions, large corporationsBusiness environments, marketing firms, healthcare, finance
Employer & Industry UsageUsed in research, healthcare, government, and academia for managing complex datasetsCommon in business, marketing, and finance for interpreting data trends

The main difference is that Statistician Data Managers focus on organizing, maintaining, and ensuring the integrity of large datasets, often requiring advanced statistical knowledge. Data Analysts primarily interpret data to generate insights and support decision-making. Both roles require strong analytical skills, but Statistician Data Managers are more involved in data infrastructure and quality control.

Is a statistician data manager a high paying job?

A statistician data manager typically earns a competitive salary, often above the median for data-related roles, due to their specialized skills in data analysis, management, and statistical software. Salaries vary based on experience, education, industry, and location, but the role is generally considered well-paying within the data profession.

What cities are hiring for Statistician Data Manager jobs?

Cities with the most Statistician Data Manager job openings:

What states have the most Statistician Data Manager jobs?

States with the most job openings for Statistician Data Manager jobs include:

What are popular job titles related to Statistician Data Manager jobs?

For Statistician Data Manager jobs, the most frequently searched job titles are:

Statistician (Data Scientist)

Lakewood, CO • On-site

IBC Opportunities | U.S. Department of the Interior

$74K/yr

Full-time

Posted 15 days ago


Job description

This position is part of the DOI, ONRR, Deputy Director, Research & Analytics, Analytics & Compliance Planning. You must be able to report to one of the advertised duty stations. The position(s) may be filled in the following locations:
Dallas, TX - $81,186 - $150,426
Lakewood, CO -$83,265 - $154,280
Houston, TX - $86,123 - $159,575
Oklahoma City, OK - $74,678 - $138,370
Tulsa, OK - $74,678 - $138,370
The incumbent will be responsible for serving as a Statistician (Data Scientist).

Qualifications:All applicants for this position must possess one of the following basic requirements:
A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
B. Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
(NOTE: YOU MUST PROVIDE LEGIBLE TRANSCRIPTS SHOWING COMPLETED COURSEWORK AND DEGREE(S) AWARDED AS VERIFICATION OF YOUR EDUCATION).
In addition to meeting the basic eligibility requirements, applicants must have the following specialized experience.
At the GS-11 level, you must meet one of the following qualifications:
A. Three (3) years of progressively higher level graduate education (54 semester hours, 81 quarter hours or the equivalent) leading to a to a Ph.D. degree or Ph.D. or equivalent doctoral degree in statistics, or other directly related field of study if it provided the knowledge, skills and abilities necessary to do the work of this position. OR
B. One year of specialized experience equivalent to the GS-09 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) Assist in researching and applying basic statistical and/or mathematical techniques under the guidance of others; 2) assist in preparing or supporting the development of statistical and/or mathematical risk models and analytical methods as well as refining models; 3) participate in meetings with team members or management to discuss and document methods and results related to statistics, risk, or analytical models; 4) prepare draft reports, summaries, or visualizations that communicate the results of statistical or analytical work to others. OR
C. A Combination of education and experience as listed above.
At the GS-12 level, you must meet the following qualification:
One year of specialized experience equivalent to at least the GS-11 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) research and apply statistical and/or mathematical techniques and accurately interpret results; 2) provide support in developing statistical and/or mathematical risk models and analytical and algorithmic methods that test hypotheses and refine models; 3) meet with management or employees to interpret, explain and document methods, and results as they relate to statistics, risk and analytical models; 4) deliver training or provide guidance to peers and other employees for techniques and best practices in interpreting results from a statistical and/or mathematical risk model.
At the GS-13 level, you must meet the following qualification:
One year of specialized experience equivalent to at least the GS-12 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) develop or revise an agency or organization's statistical or mathematical models and complex algorithms related to financial, economic, or actuarial risk; 2) develop procedures for statistical model data integration, query authoring, manipulation, and output related to financial, economic, or actuarial risk; 3) develop, review, and enhance an agency or organization's financial, economic, or actuarial risk models and analytical methods to test hypotheses and refine models; 4) lead and conduct meetings with stakeholders or technical representatives to interpret, explain and document methods, results, and interpretations as they relate to statistics, risk and analytical models; 5) develop and deliver training or provide guidance to peers and other audiences on conducting and interpreting results from statistical or mathematical models and complex algorithms related to financial, economic, or actuarial risk.
Only experience and education obtained by the closing date of this announcement will be considered.
TIME-IN-GRADE: Current career or career-conditional employees of the Federal government, or former career or career-conditional employees, who have a break in service of less than one year, are required to meet the time-in-grade restriction of one year of Federal experience at the next lower grade, with few exceptions outlined in 5 CFR 300.603(b).
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). You will receive credit for all qualifying experience, including volunteer experience.Education:You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: (1) official or unofficial transcripts are acceptable, or (2) you may submit a list with all of your courses, grades, semester, year, and credit for the course. All materials must be submitted by the closing date of the announcement. Note: PDF Portfolio documents will not be processed or accepted as they appear as a one-page document.
Only education from institutions which are accredited or preaccredited/candidate for accreditation may be used to meet education requirements.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/Employment Type: OTHER