1

Pharma Data Analyst Jobs in Virginia (NOW HIRING)

Manager, Data Analytics We're looking for someone who can sit between the business and the ... Background in healthcare, pharma, or distribution This role is a hybrid position . The selected ...

Manager, Data Analytics We're looking for someone who can sit between the business and the ... Background in healthcare, pharma, or distribution This role is a hybrid position . The selected ...

Exploratory Data Analysis and Visualization: * Conduct comprehensive exploratory data analysis to ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

Exploratory Data Analysis and Visualization: * Conduct comprehensive exploratory data analysis to ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

Proven experience designing secure, scalable architectures for analytics, reporting, and machine ... Experience in regulated industries (finance, healthcare, pharma) or large-scale enterprise ...

Hub/Pharma Account Manager Location: This is a hybrid position based in one of our offices in ... Ability to analyze and manage large data sets in various formats * Proficiency in Excel, Word, and ...

Hub/Pharma Account Manager Location: This is a hybrid position based in one of our offices in ... Ability to analyze and manage large data sets in various formats * Proficiency in Excel, Word, and ...

... pharma economic principles. * Excellent computer skills; strong knowledge of excel/sales reporting software, along with Ability to effectively analyze and interpret data. * Must possess a valid ...

... pharma economic principles. * Excellent computer skills; strong knowledge of excel/sales reporting software, along with Ability to effectively analyze and interpret data. * Must possess a valid ...

Integrate data from different systems and platforms to create unified datasets for analysis and ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

next page

Showing results 1-20

Pharma Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do pharma data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for pharma data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What are some typical challenges Pharma Data Analysts face on the job?

Pharma Data Analysts often work with large, complex datasets from clinical trials and real-world evidence, which can present challenges in data integration, cleaning, and ensuring data quality. Additionally, analysts must stay current with evolving industry regulations and standards for data reporting, such as those from the FDA or EMA. Collaborating across different departments—such as clinical research, regulatory affairs, and biostatistics—requires strong communication skills and adaptability. These challenges offer opportunities to develop advanced technical expertise and deepen understanding of drug development processes.

What are the key skills and qualifications needed to thrive in the Pharma Data Analyst position, and why are they important?

To thrive as a Pharma Data Analyst, you need strong analytical skills, a background in life sciences or related fields, and proficiency in statistics and data interpretation. Familiarity with tools such as SQL, SAS, Python, or R, as well as experience with clinical trial databases and certifications like SAS Certified Specialist, are often expected. Excellent attention to detail, effective communication, and the ability to work collaboratively across multidisciplinary teams are valuable soft skills. These competencies ensure accurate analysis and reporting, drive data-driven decisions, and support regulatory compliance in the pharmaceutical industry.

What does a pharmaceutical data analyst do?

A pharmaceutical data analyst collects, manages, and analyzes data related to drug development, clinical trials, and market performance to support decision-making. They use statistical tools and software to identify trends, ensure data accuracy, and generate reports for researchers and management. Strong analytical skills and knowledge of databases and data visualization are essential in this role.

Is 40 too late for data science?

For a Pharma Data Analyst, starting a career in data science at age 40 is feasible, especially with relevant skills in statistics, programming, and data management. Many professionals successfully transition into data roles later in life by gaining certifications and practical experience, making age less of a barrier in this field.

Will AI replace a data analyst?

AI is unlikely to fully replace a Pharma Data Analyst, as the role requires interpreting complex data, understanding industry-specific context, and making strategic decisions that AI cannot fully replicate. Instead, AI tools are expected to augment analysts' capabilities, automating routine tasks and enabling more focus on analysis and insights. Developing skills in data visualization, statistical methods, and AI tools can enhance job performance in this field.

What does a Pharma Data Analyst do?

A Pharma Data Analyst collects, processes, and interprets data related to pharmaceuticals, including clinical trials, sales, and market trends. They use statistical tools and data visualization techniques to identify patterns and insights that support decision-making in drug development, regulatory compliance, and business strategy. Their role helps improve patient outcomes, optimize drug production, and drive business growth.

How to become a pharma data analyst?

To become a pharma data analyst, typically a bachelor's degree in fields like statistics, biology, or data science is required. Developing skills in data analysis tools such as Excel, SQL, and statistical software, along with knowledge of the pharmaceutical industry, is essential. Gaining experience through internships or entry-level roles can also improve job prospects.
What are the most commonly searched types of Pharma Data Analyst jobs in Virginia? The most popular types of Pharma Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Pharma Data Analyst jobs? Cities in Virginia with the most Pharma Data Analyst job openings:
Infographic showing various Pharma Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Manager, Data Analytics

McKesson

Richmond, VA

Full-time

Re-posted 3 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

48th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Manager, Data Analytics

We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work.

Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role.

Key Responsibilities

  • Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions
  • Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team
  • Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions
  • Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly
  • Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen

Minimum Requirement

Degree or equivalent and typically requires 7+ years of relevant experience.

Education

Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field

Critical Skills

  • 7+ years in analytics, business intelligence, or a similar role.
  • Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code
  • Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker)
  • Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation
  • Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience
  • Solid understanding of data modeling and BI best practices
  • Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows

Additional Skills

  • Experience replacing or modernizing RPA automations
  • Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows
  • Background in healthcare, pharma, or distribution

This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.

If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$114,200 - $190,400

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


What McKesson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom