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Manufacturing Data Analytics Jobs in Washington (NOW HIRING)

VB Spine

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

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 ...

Thinkbrg

Data Operations Analyst

Washington, DC

Implement test plan to ensure manufacturer customizations are applied accurately across products ... Strong technical skills, including the ability to independently execute complex data analytics in ...

Micron

New College Grad - Industrial Engineer

Manassas, VA · On-site

$70K - $94K/yr

Analyze operational and manufacturing data to identify opportunities and implement solutions that improve throughput, cycle time, and equipment utilization. * Develop analytics, reports, dashboards ...

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Manufacturing Data Analytics information

What is manufacturing data analytics?

Manufacturing data analytics refers to the use of data analysis tools and techniques to collect, interpret, and leverage data generated during manufacturing processes. This approach helps companies identify inefficiencies, predict equipment failures, optimize production, and improve product quality. By analyzing data from sensors, machines, and other sources, manufacturers can make informed decisions that boost productivity and reduce costs. Overall, manufacturing data analytics is key for driving digital transformation and competitiveness in the manufacturing industry.

How do manufacturing data analytics professionals collaborate with production and engineering teams to drive process improvements?

Manufacturing Data Analytics professionals work closely with production and engineering teams by analyzing process data, identifying inefficiencies, and presenting actionable insights. They often participate in cross-functional meetings, where they translate complex data findings into practical recommendations for process optimization, quality improvement, or cost reduction. Effective communication and a collaborative approach are essential, as these professionals must understand operational challenges and ensure data-driven solutions are feasible and aligned with business goals.

What are the key skills and qualifications needed to thrive in manufacturing data analytics, and why are they important?

To thrive in Manufacturing Data Analytics, you need a strong background in statistics, data analysis, and manufacturing processes, often supported by a degree in engineering, data science, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages like Python or R, and ERP/MES systems is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are essential soft skills. These competencies enable professionals to drive process improvements, optimize production, and support data-driven decision-making in manufacturing environments.

What is the difference between Manufacturing Data Analytics vs Manufacturing Data Engineer?

AspectManufacturing Data AnalyticsManufacturing Data Engineer
Primary FocusAnalyzing manufacturing data to improve processes and decision-makingDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsData analysis, statistical skills, knowledge of manufacturing processes, often with certifications in data analytics or related fieldsData engineering, programming (Python, SQL), cloud platforms, database management
Work EnvironmentCollaborates with manufacturing teams, data teams, and managementWorks with IT, data teams, and software engineers to develop data systems
Industry UsageUsed across manufacturing sectors for process optimizationSupports manufacturing analytics by providing data infrastructure

Manufacturing Data Analytics focuses on interpreting manufacturing data to enhance operations, while Manufacturing Data Engineers develop and maintain the data systems that enable such analysis. Both roles are essential in manufacturing data-driven strategies but differ in their core responsibilities and skill sets.

What are popular job titles related to Manufacturing Data Analytics jobs in Washington?

For Manufacturing Data Analytics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Manufacturing Data Analytics jobs in Washington look for?

The top searched job categories for Manufacturing Data Analytics jobs in Washington are:

What cities in Washington are hiring for Manufacturing Data Analytics jobs?

Cities in Washington with the most Manufacturing Data Analytics job openings:

Manufacturing Data Analytics jobs near you
Infographic showing various Manufacturing Data Analytics job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr. Manager Data Analytics

VB Spine

Leesburg, VA • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Sr. Manager, Data & Analytics
Location: Leesburg, VA (hybrid)
Company: VB Spine
Looking for a career where your work truly matters? At VB Spine, you'll be part of a mission-focused team that supports surgeons during life-changing spinal procedures. We're looking for a driven, hands-on analytics leader ready to modernize our data capabilities, rationalize legacy systems, and deliver actionable insights that power manufacturing, supply chain, commercial, finance, and operational excellence in a dynamic, fast-paced medical device environment.
What You'll Do:
  • Define and own a 12-24 month Data & Analytics modernization roadmap aligned with VB Spine's business priorities and post-separation operating model, including rationalization of legacy Stryker lift-and-shift reports, datasets, and processes.
  • Establish the future-state analytics architecture, data platform strategy, semantic models, reporting standards, and self-service capabilities while partnering with Enterprise Applications, Infrastructure, Cybersecurity, and business functions.
  • Oversee delivery of dashboards, reports, datasets, and analytical models (with emphasis on manufacturing, supply chain, sales, and finance) using Power BI, Databricks, SQL, Python, and cloud technologies.
  • Drive analytics governance, data quality initiatives, KPI standardization, and compliance standards suitable for a regulated medical device environment.
  • Lead, develop, and scale a team of data analysts and engineers - including hiring, coaching, and building high-performance ways of working.
  • Serve as a strategic business partner to leaders across the organization, translating operational challenges into trusted data products, predictive analytics, and decision-support tools.
  • Advance adoption of modern analytics, automation, anomaly detection, and AI-enabled capabilities while reducing reliance on manual reporting.

What You Bring:
  • 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), Databricks, Azure Data Factory (ADF), SQL, Python, and cloud data platforms.
  • Demonstrated success in data modernization, report rationalization, architecture design, governance, and cross-functional stakeholder management.
  • Hands-on leadership style with the ability to operate at both strategic (roadmap, architecture) and execution levels (delivery, quality, team development).
  • Experience building and scaling analytics teams, establishing SDLC/governance processes, and driving business adoption of self-service analytics.
  • Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field (Master's or advanced certifications preferred).

Why VB Spine?
We believe in growing talent from within. At VB Spine, join a high-performing team, benefit from peer and executive mentorship, and shape strategy in the dynamic field of medical devices-positioning yourself to influence growth and innovation across the organization.
Compensation:
Pay for this role is competitive and based on experience, with additional factors like qualifications, leadership scope, and performance taken into account. The typical pay range for this position is $150,000.00 - $170,000.00 for the Leesburg, VA / DMV market, with potential for bonuses and incentives plus benefits. Final compensation is determined on a case-by-case basis and considers a variety of factors including experience level, skillset, and market conditions.
Benefits include:
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off (PTO) and holidays
  • Ongoing training and professional development opportunities
  • Opportunity to grow within a fast-paced, dynamic company

This role is ideal for a collaborative leader excited to build scalable, insight-driven analytics capabilities that directly impact patient outcomes and business performance at VB Spine.

Apply