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Bench Data Analyst Jobs (NOW HIRING)

Milwaukee Tool

Senior Textiles Engineer

Milwaukee, WI · On-site

$103K - $141K/yr

Translate lab test results into end-use decisions , correlating bench data with field performance ... Comfortable applying advanced analytics, automation, and AI-enabled tools to improve development ...

Bitful Consulting

Data Engineer

$117K - $140K/yr

Strong hands-on experience with Microsoft Azure Data & Analytics including Azure Synapse, Azure ... Bench pay * Profit share * Healthcare reimbursement * 401k - 4% match * Short-Term disability ...

Walmart

Senior Manager, Data Analytics

Noel, MO · On-site

$90K - $180K/yr

Are you a data and analytics leader who thrives on building high-performing teams and transforming ... bench of analytical talent Minimum Qualifications Outlined below are the required minimum ...

Integrated Resources INC

Bench Scientist

Andover, MA · On-site

$35.75 - $44.75/hr

Support analysis of quantitative LC-MS/MS data using relevant bioinformatics and quantitation software. Qualifications BS/MS level education in biochemistry, biology or chemistry or related fields ...

Walmart

Senior Manager, Data Analytics

Gravette, AR

$90K - $180K/yr

Are you a data and analytics leader who thrives on building high-performing teams and transforming ... bench of analytical talent Minimum Qualifications Outlined below are the required minimum ...

Walmart

Senior Manager, Data Analytics

Greenland, AR · On-site

$90K - $180K/yr

Are you a data and analytics leader who thrives on building high-performing teams and transforming ... bench of analytical talent Minimum Qualifications Outlined below are the required minimum ...

Walmart

Senior Manager, Data Analytics

Elm Springs, AR · On-site

$90K - $180K/yr

Are you a data and analytics leader who thrives on building high-performing teams and transforming ... bench of analytical talent Minimum Qualifications Outlined below are the required minimum ...

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Bench Data Analyst information

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$34K

$82.6K

$136K

How much do bench data analyst jobs pay per year?

As of Jun 7, 2026, the average yearly pay for bench data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bench Data Analyst, and why are they important?

To thrive as a Bench Data Analyst, you need strong analytical skills, proficiency in statistical methods, and a relevant degree in fields like statistics, mathematics, or computer science. Experience with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret and present data insights clearly to stakeholders. These skills are crucial for transforming complex data sets into actionable insights that drive informed business decisions.

What is the difference between Bench Data Analyst vs Data Analyst?

AspectBench Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel or SQLBachelor's degree in data science, statistics, or related field; certifications like Tableau or Power BI
Work EnvironmentTemporary or project-based roles, often in consulting or staffing firmsFull-time positions within organizations across industries
Employer & Industry UsageStaffing agencies, consulting firms, or companies with project-based needsCorporations, finance, healthcare, marketing, and other sectors

The main difference is that Bench Data Analysts are typically in temporary or standby roles, often provided by staffing agencies, while Data Analysts are employed full-time within organizations. Bench Data Analysts focus on being ready for upcoming projects, whereas Data Analysts work on ongoing data analysis tasks within a company.

What are Bench Data Analysts?

Bench Data Analysts are data professionals who are currently not assigned to any specific client project but are still employed by an organization, often as part of a consulting or staffing firm. While on the 'bench,' they typically receive training, work on internal projects, or prepare for upcoming assignments. Being on the bench allows analysts to develop their skills and stay ready for deployment to new client engagements as they arise.

What are some common challenges a Bench Data Analyst may face in their role, and how can they address them?

Bench Data Analysts often encounter challenges such as adapting quickly to new clients' data environments and varying project requirements, as their assignments can change frequently. They must be comfortable with ambiguity and rapidly acquiring knowledge of different tools, data structures, and industry standards. Building strong communication skills and maintaining an up-to-date portfolio of projects can help them demonstrate value and transition smoothly between assignments. Proactively seeking feedback and collaborating with both technical and non-technical team members will also enhance their effectiveness and visibility for future placement.
Infographic showing various Bench Data Analyst job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Textiles Engineer

Milwaukee Tool

Milwaukee, WI • On-site

$103K - $141K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Sr Materials Engineer
Job Description:
Sr. Material Innovation Engineer - Textiles & PPE
Bring first-principles rigor and evidence-backed decisions to deliver production-ready material innovations that raise the bar for performance, reliability, and manufacturability in PPE. In this role, you lead material maturation by defining end-use performance intent, translating lab and field data into clear decisions, and retiring technical risk from early exploration through commercialization. You own validation and material readiness, partner directly with suppliers and factories, and ensure innovations scale confidently-where failure carries real life-safety consequences.
Key Responsibilities
  • Define material performance objectives tied to end-use hazards and life-safety outcomes; develop and execute validation strategies for durability, protection, comfort, and environmental exposure.
  • Translate lab test results into end-use decisions, correlating bench data with field performance and observed failure modes.
  • Identify, evaluate, and mature novel fibers, yarns, chemistries, coatings, foams, and hybrid textile systems through external tech scouting and partnerships (vendors, tech partners, universities).
  • Serve as primary technical liaison to factories and material suppliers; manage sample cadence, pilot runs, and commercialization readiness for gloves and softgoods.
  • Balance performance, cost, and scalability across textile architectures and processes (knitting, weaving, lamination, coating, welding, bonding, cut-and-sew).
  • Use modern data science and digital tools to accelerate material screening, pattern recognition, and decision-making-while maintaining engineering judgment and safety context.
  • Document material intent, assumptions, trade-offs, and risks in clear specifications and recommendations; align cross-functional teams on confident down-selects.
  • Mentor engineers and developers in material evaluation, test interpretation, and first-principles thinking applied to PPE systems.

Typical Advanced Engineering Flow
Discovery: Identify unmet protection or durability needs; scout external technologies; benchmark performance and risk.
Definition: Translate hazards into material performance intent; select validation methods and supplier pathways.
Exploration: Develop and test material constructions; iterate with partners; quantify trade-offs and failure modes.
Validation: Confirm field-relevant performance, durability, and manufacturability; retire material and process risk.
Commercialization: Deliver production-ready specs, test methods, and supplier alignment; support launch as SME.
Qualifications
  • Bachelor's degree in Materials Science, Textile Engineering, Polymer Engineering, Mechanical Engineering, or related field; advanced degree a plus.
  • 5+ years in materials innovation, PPE, softgoods, footwear, or technical textiles.
  • Deep expertise in fibers, yarns, textiles, leathers, synthetics, coatings, foams, and composite constructions.
  • Proven ability to convert test data into end-use material decisions.
  • Strong supplier and factory engagement experience across textile and softgoods manufacturing.
  • Comfortable applying advanced analytics, automation, and AI-enabled tools to improve development efficiency.
  • Clear communicator who can align material science, manufacturing reality, and life-safety requirements.
  • Willingness to travel ~10%.

Milwaukee Tool is an equal opportunity employer.

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