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Statistical Programming Jobs in Virginia (NOW HIRING)

Fisher Auto Parts

Merchandise Data Analyst

Staunton, VA · On-site

$50K - $65K/yr

A Bachelor's degree (BA, BS) or equivalent in Business Administration, Statistics, Engineering, or comparable field. * Must possess and maintain a valid and current driver's license; * Successfully ...

Deloitte

Palantir AI and Data Science Engineer

Rosslyn, VA

$130K - $156K/yr

... statistical programming tools to improve data quality, platform performance, and operational efficiency A successful candidate would possess these skills: * Ability to work independently and ...

Deloitte

Palantir AI and Data Science Engineer

Arlington, VA · On-site

$131K - $158K/yr

... statistical programming tools to improve data quality, platform performance, and operational efficiency A successful candidate would possess these skills: * Ability to work independently and ...

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or related discipline. * Experience: * 5-8 years of experience in data analytics, machine learning, or AI ...

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$122K - $165K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 8+ years of ...

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All JobsStatistical Programming JobsStatistical Programming Jobs in Virginia

Statistical Programming information

See Virginia salary details

$83.8K

$146K

$246.9K

How much do statistical programming jobs pay per year?

As of Jul 15, 2026, the average yearly pay for statistical programming in Virginia is $146,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $158,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

What are the key skills and qualifications needed to thrive as a Statistical Programmer, and why are they important?

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are the most commonly searched types of Statistical Programming jobs in Virginia? The most popular types of Statistical Programming jobs in Virginia are:
Statistical Programming jobs near you
Infographic showing various Statistical Programming job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $146,028 per year, or $70.2 per hour.
Merchandise Data Analyst

Merchandise Data Analyst

Fisher Auto Parts

Staunton, VA • On-site

$50K - $65K/yr

Full-time

Posted 6 days ago

Fisher Auto Parts rating

6.3

Company rating: 6.3 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

287th of 727 rated retailers

Job description

Description
Federated/Fisher Auto Parts, Home of the Parts Professionals!
Providing world class customer service and reliable auto parts and accessories for over 95 years! Fisher Auto Parts' employees are one of the key ingredients to our success - past, present and future. Fisher has many different career and employment opportunities, as well as benefits to offer new and current employees!
The Merchandise Data Analyst provides a statistical and financial foundation for merchandising decisions and consults other departments on merchandising practices and tactics. They provide and manage the data for product review process, location acquisitions and act as category management advisors for companywide initiatives. In addition to tracking sales performance, and team objectives, they monitor part type categories to ensure profitability objectives are met. This position is a key member of a growing and passionate group focused on collaborating across the business to drive forward key programs and projects across the Fisher Auto Parts chain.
RESPONSIBILITIES
  • Solving problems through data analysis and reporting.
  • Consulting with Product Directors on business decisions to provide a statistical and financial foundation.
  • Querying tables to extract data necessary to perform analysis.
  • Analyzing electronic catalog data in ACES and PIES format to determine coverage gaps/opportunities
  • Able to communicate and work cross-functionally with team members.
  • Develop strong partnerships with business management teams and participate in category planning meetings.
  • Demonstrate consistent attention to detail and strong organizational skills.
  • Ability to translate complex business processes and data into an easily understandable format.
  • Grow knowledge and stay abreast of developments in the automotive aftermarket and competitor trends.
  • Complete all duties as assigned.

Requirements
CONDITIONS OF EMPLOYMENT:
  • A Bachelor's degree (BA, BS) or equivalent in Business Administration, Statistics, Engineering, or comparable field.
  • Must possess and maintain a valid and current driver's license;
  • Successfully complete a pre-employment drug test;
  • Maintain acceptable attendance;
  • Acknowledgement of and adherence to all Company policies and procedures as contained within the Fisher Auto Parts Employee and Driver's Handbooks.

KNOWLEDGE, SKILLS, DUTIES, AND ABILITIES:
  • Automotive aftermarket experience is a plus.
  • Three to five years of experience in Business Administration, Statistics, Engineering or programming business applications.
  • Intermediate to Advanced Excel Skills.
  • Proficiency with Microsoft Office Suite.
  • Two to four years of experience writing complex SQL statements
  • Two to four years of experience writing Python scripts
  • Experience with BI tools such as Amazon QuickSight is a plus.
  • Strong attention to detail, planning and organizational skills.
  • Excellent verbal and written communication skills.
  • Be dependable, trustworthy, display a professional attitude, and complete all assigned work within given deadlines.
  • Must be able to take initiative and be self-sufficient while working independently with minimal supervision.

What Fisher Auto Parts employees say

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About Fisher Auto Parts

Sourced by ZipRecruiter

After growing to 60 stores and 300 employees, Coiner Parts changed its name to Fisher Auto Parts in 1983. Art Fisher continued the Company’s dedication to providing the Professional installer with quality service that was second to none. Giving our customers name brand parts at competitive prices and the fastest, most accurate delivery service available was, and still is, the focus of Fisher Auto Parts. And now, over 90 years later, Mr. Coiner’s grandson and C.E.O. of Fisher Auto Parts, continues the commitment to rendering dealer service of the highest character at all times. Our goal is to provide customers the best overall value in the automotive aftermarket.” The Federated Car Care Center Program is a nationwide network of independently owned repair facilities. When you join the Federated Car Care Program you'll become part of this network and receive the tools necessary to Attract, Retain, and Satisfy your customers beyond expectation, Helping your Business to compete and succeed.

Industry

Motor vehicle manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Staunton, VA, US

Year founded

1929

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