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Applied Statistics Jobs (NOW HIRING)

Ra

Marketing Analytics Manager

Indianapolis, IN

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Irving, TX

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Senior Manager

San Francisco, CA · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Consultant

Dallas, TX · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Albany, NY · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Saint Louis, MO · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Consultant

Raleigh, NC · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

San Diego, CA

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Senior Manager

Miami, FL · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Senior Manager

Phoenix, AZ · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Minneapolis, MN · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Columbia, SC · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Florham Park, NJ · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Washington, DC · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Philadelphia, PA

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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All JobsApplied Statistics Jobs

Applied Statistics information

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$40.5K

$83.7K

$117K

How much do applied statistics jobs pay per year?

As of Jun 30, 2026, the average yearly pay for applied statistics in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

Is AI replacing statisticians?

Applied statisticians use data analysis, modeling, and statistical tools to interpret data and inform decisions. AI can automate routine tasks and enhance data processing, but statisticians are needed to design experiments, validate models, and interpret complex results, making their role complementary rather than replaceable by AI.

What are typical projects or responsibilities for professionals in Applied Statistics?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What do you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation to support decision-making. Professionals often use tools like R, Python, or SAS and may work in industries such as healthcare, finance, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is an Applied Statistics job?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

What does applied statistics do?

Applied statistics involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field collect, interpret, and present data to support decision-making, often utilizing tools like statistical software and programming languages such as R or Python.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming, statistical software, and critical thinking. Professionals in this field are in demand across industries such as healthcare, finance, and technology, with opportunities for advancement and specialization. The role typically involves working with large datasets and applying statistical methods to solve real-world problems.

What are the key skills and qualifications needed to thrive in the Applied Statistics position, and why are they important?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

More about Applied Statistics jobs
What cities are hiring for Applied Statistics jobs? Cities with the most Applied Statistics job openings:
What are the most commonly searched types of Applied Statistics jobs? The most popular types of Applied Statistics jobs are:
What states have the most Applied Statistics jobs? States with the most job openings for Applied Statistics jobs include:
What job categories do people searching Applied Statistics jobs look for? The top searched job categories for Applied Statistics jobs are:
Applied Statistics jobs near you
Infographic showing various Applied Statistics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, 1% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Statistical Programmer

KG Tiger

Plymouth Meeting, PA

Full-time

Posted 17 days ago

Job description

Company Description

ABOUT THE COMPANY:

A design company that blends technology, creativity and engineering to help customers transform ideas into world-class products and solutions. The company addresses the communications, consumer products, defense, healthcare, media & entertainment, semiconductor and transportation sectors. This is supported by a network of design studios, development centers and offices worldwide. Key services include embedded product design, industrial design, animation & visual effects and systems integration

ABOUT KGTiger: 

A professional services consulting firm hired to directly source prospective candidates. The company's strategy of maintaining long-term relationships has created a success paradigm that nets great benefits for candidates and clients. Your confidentiality is totally respected. Resumes and other employment-related information are not shared with the client until we have secured your permission. Likewise, we may be asked to maintain client confidentiality.


Job Description


SAS and/or SQL programming experience
Experience working with Patient-level and/or medical claims-level data
Experience analyzing very large amounts of data
Technical skills/knowledge in one or more of the following: multivariate analysis, regression analysis and forecasting, sampling, data modeling, R programming, machine learning, SPSS
Excellent communication and interpersonal skills

Qualifications

Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor's degree and 7 years of experience in operations research, market research, or applied statistics

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