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Statistician Data Manager Jobs (NOW HIRING)

Hbculifestyle

Data Manager

Manhattan, NY · On-site

Manage multiple projects simultaneously. * Research Support & Analytics ... Conduct basic statistical modeling, and data validation to support policy analysts and researchers.

Chicago State University

Data Manager

Chicago, IL · On-site

$46K/yr

... Title Data Manager Salary Range $46,500 Annual Employee Class Civil Service Department Office of ... Use Statistical Program i.e., Social Sciences (SPSS) to accomplish the creation and organized ...

Alimentiv

Statistician

Ontario, CA · Remote

Responsible for the application of biostatistical methods to support clinical trials and data management, including statistical planning, design, analysis, and reporting throughout the project life ...

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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:

Data Manager

Albuquerque, NM • On-site

University of New Mexico
See more jobs at University of New Mexicoexternal

Full-time

Re-posted 13 days ago

University Of New Mexico rating

8.2

Company rating: 8.2 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

Job description

Description:

The UNM Early Childhood Services Center (ECSC), is seeking candidates for a Data Manager to support the Statewide Early Childhood Education & Care Department (ECECD) Comprehensive Early Learning and Consultation initiative. Data Manager will provide administrative, technical, and operational support to ensure the successful coordination and completion of multiple projects. This position works closely with the Project Development Team to monitor timelines, track deliverables, and maintain project documentation.  Candidates must have documented experience collecting, analyzing, interpreting, and summarizing data in preparation for the generation of statistical and analytical reports. Position will be responsible for managing data across multiple systems and supporting communication among project stakeholders. The ideal candidate is highly organized, detail-oriented, technologically proficient, and capable of managing multiple priorities in a fast-paced environment.

The preferred candidate will have experience with the following systems: Microsoft 360 suite (including advanced Excel skills), Gravity Forms, and Survey Monkey. Experience with the following early childhood systems are beneficial but training will be provided to those without experience in these systems : Teachstone/ CLASS, Minnesota Executive Function Scale (MEFS), Language Environment Analysis (LENA), and NM Early Childhood Professional Development Information System (PDIS). *Candidates should include information documenting how they are meeting the preferred qualifications in their cover letter.

This is a term position subject to continuous employment renewed annually - Term end date is subject to change based on annual funding.

See the Position Description for additional information.

Summary

Manages and maintains a comprehensive data for the Training and Consultation team at UNM Early Childhood Services Center, ensuring consistency and integrity of data; oversees collection and reporting of complex, related information. Interprets data, including statistical values, and provides advice and consultation regarding implications; may make recommendations for adjustments. Conducts needs assessments, designs and creates databases, and participates in testing and implementation of new applications and/or enhancements and modifications to existing systems. Provides assistance and training to system users.

Duties and Responsibilities

  1. Develops and designs methods and procedures for collecting, organizing, interpreting, and classifying information for input into computer and retrieval from computer, utilizing knowledge of symbolic language, optical or pattern recognition, database construction, and retrieval methods.
  2. Collects, analyzes, interprets, and summarizes data in preparation for generation of statistical and analytical reports.
  3. Develops alternate designs to resolve problems in input, storage, or retrieval of information, utilizing knowledge of electronic data processing principles, mathematics, and computer capabilities.
  4. Consults with and advises clientele on the use and interpretation of data; collaborates as appropriate with clientele in the structuring and development of data requirements.
  5. Performs needs assessment activities and works with other information systems personnel to determine feasibility of development of new databases and/or enhancements or modifications to existing databases.
  6. Develops specifications for data capture and input; monitors input to ensure consistency, quality, and integrity of data.
  7. Provides technical assistance and training to department personnel in the use of personal computers, standard software packages, and on-line information systems.
  8. Makes recommendations for on-line program enhancements; assists in testing and implementation of modifications and enhancements.
  9. Supervises or oversees the work of programming and/or data entry staff and/or student employees.
  10. Maintains currency of knowledge with respect to relevant state-of-the-art technology, equipment, and/or systems.
  11. May conduct individual, group, and/or organization-based presentations related to organization objectives and parameters.
  12. May set up and maintain staff security access codes; may manage departmental client server infrastructure.
  13. Performs miscellaneous job-related duties as assigned.

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