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Data Analyst Statistician Jobs (NOW HIRING)

Radiance Technologies

Data Analyst

Perform data mining, data preparation, analysis, and reporting activities. * Conduct studies ... Statistics * Applied Mathematics * Computer Science * Operations Research * Or a related ...

Cobb EMC

Data Analyst I

Marietta, GA · Hybrid

Apply advanced analytics, statistical modeling, and data mining techniques to uncover valuable insights. * Evaluate business performance, financial models, and competitive positioning. * Work across ...

Santa Fe County

Data Analyst Specialist

Santa Fe, NM

$57K - $66K/yr

Partner in advocating the use of data analytics. Understand and accommodate user needs and provide ... Assists with testing and verifying accuracy of Marshall Valuation cost tables using statistical ...

Zoom

Senior Data Analyst

San Jose, CA

$187K - $228K/yr

Requires a Bachelor\'s degree in Data Analytics, Statistics, Mathematics, Computer Science, Electronic Engineering, a related field, or a foreign degree equivalent. Must have 7 years of experience in ...

Altium

Data Analyst

Live Oak, TX · On-site

Degree in Analytics, Statistics, Data Science, or related field required. * Experience in gathering and analyzing business requirements to design reporting solutions required. Skills/Abilities:

Dhalite Inc.

Junior Data Analyst

Boston, MA · On-site

Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field * 0 2 years of experience or relevant internships in ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site

Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies ...

psudo

As a data analyst, you will be responsible for compiling actionable insights from data and ... Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ...

Cobb EMC

Data Analyst I

Marietta, GA · Hybrid

Apply advanced analytics, statistical modeling, and data mining techniques to uncover valuable insights. * Evaluate business performance, financial models, and competitive positioning. * Work across ...

Cobb EMC

Data Analyst I

Marietta, GA · On-site

$95K/yr

Apply advanced analytics, statistical modeling, and data mining techniques to uncover valuable insights. * Evaluate business performance, financial models, and competitive positioning. * Work across ...

Visionaire Partners

Data Analyst

Atlanta, GA · On-site

REQUIRED SKILLS: * 3-5 years of experience in data analytics, statistics, business intelligence and/or data modeling. * 3-5 years data analytical skills including strong skills in data quality tools ...

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All JobsData Analyst Statistician Jobs

Data Analyst Statistician information

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$50.5K

$86.9K

$116.5K

How much do data analyst statistician jobs pay per year?

As of Jul 2, 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.

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Data Analyst Statistician jobs near you
Data Analyst

Data Analyst

Radiance Technologies

Remote

Full-time

Posted 20 days ago

Job description

Advanced Trade Analytics Platform (ATAP)
Remote (U.S.)
Active Top Secret Clearance Required
Use Data to Drive Mission Success
Radiance Technologies is seeking a Data Analyst to support U.S. Customs and Border Protection's (CBP) Advanced Trade Analytics Platform (ATAP). In this role, you will work alongside data scientists, engineers, and mission stakeholders to analyze data, develop reports, support analytical models, and provide actionable insights that support national security and trade enforcement missions.
This position offers the opportunity to work with large-scale datasets, modern analytics technologies, and mission-critical programs that directly impact CBP operations.
What You'll Do
  • Perform data mining, data preparation, analysis, and reporting activities.
  • Conduct studies, assessments, and analytical reviews to support customer requirements.
  • Evaluate data quality, accuracy, and completeness to support sound decision-making.
  • Develop reports, dashboards, visualizations, and analytical products.
  • Prepare and organize datasets for analytical and modeling activities.
  • Support implementation of data models and analytical solutions.
  • Provide database and data management support.
  • Document findings and present recommendations to stakeholders.
  • Collaborate with data scientists, engineers, and customers to address mission challenges.
  • Identify opportunities for process improvement and automation.
  • Participate in Agile project activities and team collaboration efforts.

Required Qualifications
Education
Bachelor's degree in:
  • Data Science
  • Statistics
  • Applied Mathematics
  • Computer Science
  • Operations Research
  • Or a related quantitative discipline

Master's degree may substitute for up to two years of experience. Ph.D. may substitute for required experience.
Experience
  • Five (5) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines.
  • Two (2) years supporting applied data science research or big data analytics.
  • Experience preparing, analyzing, and managing large datasets.
  • Experience developing reports, analyses, and recommendations for stakeholders.

Knowledge & Skills
  • Knowledge of data mining, databases, data visualization, and machine learning concepts.
  • Ability to communicate analytical findings to technical and non-technical audiences.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Experience developing data-driven reports and visualizations.

Preferred Qualifications
  • Experience supporting CBP, DHS, defense, intelligence, law enforcement, or trade-related programs.
  • Experience with trade analytics, compliance monitoring, fraud detection, risk scoring, or investigative analytics.
  • Familiarity with Databricks, Spark, AWS GovCloud, Azure Government, or cloud-based analytics environments.
  • Experience supporting AI/ML initiatives and advanced analytics programs.

Preferred Technical Skills
  • Python
  • SQL
  • Power BI
  • Tableau
  • Databricks
  • Spark
  • Data Visualization
  • ETL Processes
  • Agile Methodologies

Security Requirements
  • Active Top Secret security clearance required.
  • Ability to obtain and maintain access to DHS and CBP systems and facilities.

Why Radiance?
Radiance Technologies is a 100% employee-owned company dedicated to solving complex national security challenges through innovation, technical excellence, and mission-focused solutions. Our employees work on meaningful programs while benefiting from a collaborative culture that supports professional growth and continuous learning.
Benefits
  • 100% Employee-Owned (ESOP)
  • Remote Work Flexibility
  • Meaningful National Security Mission
  • Exposure to Advanced Analytics and AI Technologies
  • Career Growth and Professional Development
  • Collaborative and Innovative Culture
  • Competitive Compensation and Benefits

Join Radiance Technologies and help transform data into mission success.
Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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