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Manufacturing Data Analyst Jobs in Virginia (NOW HIRING)

Our client, a leading manufacturing organization based in Virginia, is seeking a skilled Data & Analytics Engineer to help design, build, and scale a modern enterprise data and analytics environment.

Analyze process and manufacturing data to improve capability, stability, repeatability, cycle times, scrap, and uptime. * Monitor production and implement process improvements to maintain optimal ...

... Analytics (Data Architecture, Data Engineering, Data Migration, Data Modernization, Big Data ... Banking, Financial Services, & Insurance Manufacturing, Transportation, & Logistics Energy ...

... Analytics (Data Architecture, Data Engineering, Data Migration, Data Modernization, Big Data ... • Manufacturing, Transportation, & Logistics • Energy & Utilities • Telecom & Media • ...

Proven experience leading Data & Analytics functions in a manufacturing, supply chain, or regulated ... industry (medical device preferred). * Strong technical expertise with Power BI (semantic models ...

Proven experience leading Data & Analytics functions in a manufacturing, supply chain, or regulated ... industry (medical device preferred). * Strong technical expertise with Power BI (semantic models ...

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Manufacturing Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do manufacturing data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manufacturing 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 is a manufacturing data analyst?

A Manufacturing Data Analyst collects, processes, and analyzes data from production processes to improve efficiency, quality, and cost-effectiveness. They work with large datasets, identify trends, and generate reports to support decision-making. Utilizing tools like SQL, Python, and BI software, they help optimize manufacturing workflows and reduce waste. Their role often involves collaborating with engineers, production managers, and IT teams to ensure data-driven improvements.

What are the typical daily responsibilities of a manufacturing data analyst?

Manufacturing Data Analysts typically spend their days collecting and interpreting data from manufacturing processes to identify trends, inefficiencies, or areas for improvement. They often collaborate with production teams and engineers to understand operational challenges, validate data sources, and implement process enhancements based on their findings. Daily tasks might include generating reports, monitoring real-time production metrics, developing dashboards, and supporting quality assurance efforts. This role is highly collaborative and plays a key part in driving continuous improvement and operational excellence within the manufacturing facility.

What are the key skills and qualifications needed to thrive as a manufacturing data analyst?

To thrive as a Manufacturing Data Analyst, you need strong analytical skills, proficiency in data management, and a background in industrial engineering, statistics, or a related field. Experience with data visualization tools (such as Power BI or Tableau), statistical analysis software, and manufacturing ERP/MES systems is highly valued, as are certifications like Six Sigma. Attention to detail, problem-solving abilities, and effective communication skills help you stand out in this position. These capabilities are crucial for interpreting complex production data, improving manufacturing processes, and clearly conveying insights to cross-functional teams.

What are the most commonly searched types of Manufacturing Data Analyst jobs in Virginia?

The most popular types of Manufacturing Data Analyst jobs in Virginia are:

What are popular job titles related to Manufacturing Data Analyst jobs in Virginia?

For Manufacturing Data Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Manufacturing Data Analyst jobs in Virginia look for?

The top searched job categories for Manufacturing Data Analyst jobs in Virginia are:

Infographic showing various Manufacturing Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Product Strategy Analyst, Data & Analytics

McKesson Corporation

Richmond, VA • On-site

Full-time

Re-posted 22 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

46th 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.
About the Role
McKesson Medical-Surgical is seeking a Product Strategy Analyst to support the development, optimization, and lifecycle management of data, analytics, automation, and AI-enabled products. In this role, you will help identify opportunities to create business value through data products, drive stakeholder engagement, evaluate product performance, and support product strategy initiatives from concept through adoption.
Reporting to the Director, Technical Product Management, you will partner with business leaders, analytics teams, data engineers, architects, data scientists, and technology stakeholders to deliver scalable solutions that improve decision-making and operational outcomes. This is a unique opportunity to help shape the future of data products and analytics innovation within a leading healthcare organization.
What You'll Do
  • Partner with business stakeholders to identify opportunities for data, analytics, automation, and AI solutions.
  • Contribute to business case development, product valuation, and prioritization efforts using value-versus-effort assessments.
  • Support the development and execution of data product roadmaps aligned with business objectives and enterprise analytics strategy.
  • Manage and improve data products throughout the product lifecycle, including ideation, planning, development, launch, adoption, optimization, and retirement.
  • Collaborate with data engineers, data architects, developers, data scientists, and technology partners to support delivery of proof-of-concepts (POCs), pilot programs, and minimum viable products (MVPs).
  • Define and track product success metrics, KPIs, adoption measures, and business outcomes.
  • Analyze product performance and user feedback to identify enhancement opportunities and drive continuous improvement.
  • Support stakeholder communications, change management activities, training initiatives, and adoption strategies.
  • Promote scalable analytics solutions and data literacy across the organization.
  • Monitor industry trends, emerging technologies, artificial intelligence capabilities, and data analytics best practices to identify innovation opportunities.
  • Serve as a trusted resource on data products, analytics capabilities, and business value realization.

Basic Requirements
  • Bachelor's degree or equivalent experience.
  • Typically requires 4+ years of relevant professional experience in product management, product strategy, business analytics, data analytics, technical product management, business intelligence, or related fields.
  • Experience working with cross-functional teams to deliver data, analytics, technology, or business process solutions.
  • Experience analyzing business requirements, identifying opportunities, and translating stakeholder needs into actionable product initiatives.
  • Experience using data and metrics to evaluate product performance and business outcomes.

Preferred Skills/Experience
  • Familiarity with artificial intelligence (AI), machine learning, generative AI, large language models (LLMs), and data science concepts.
  • Experience in healthcare distribution, healthcare supply chain, manufacturing, or related industries preferred.

Travel, Location & Physical Requirements
  • Candidate should be located in or near Richmond, Virginia.
  • Occasional travel may be required based on business needs.
  • General office environment with the ability to work on a computer for extended periods.

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, please click here.
Our Base Pay Range for this position
$92,600 - $154,400
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.
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