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Manufacturing Data Analyst Remote Jobs in Providence, RI

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Experience with modern data and analytics technologies, including AWS, Databricks, Power BI ... Knowledge of Wholesale, Retail, Transportation, Distribution, or Manufacturing industries.

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Showing results 21-40

Manufacturing Data Analyst Remote information

See Providence, RI salary details

$34.3K

$83.5K

$137.4K

How much do manufacturing data analyst remote jobs pay per year?

As of Sep 7, 2026, the average yearly pay for manufacturing data analyst remote in Providence, RI is $83,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $98,000.00 per year, depending on experience, location, and employer.

What is a manufacturing data analyst?

A Manufacturing Data Analyst (Remote) is a professional who analyzes production data to help manufacturers optimize efficiency, reduce waste, and improve product quality. Working remotely, they collect, process, and interpret data from manufacturing processes using analytical tools and software. They collaborate with engineering, operations, and management teams to identify trends, troubleshoot issues, and recommend data-driven improvements. Their insights support strategic decision-making and help companies maintain competitive advantages in their production operations.

How does a manufacturing data analyst collaborate with production teams in a remote setting?

As a remote Manufacturing Data Analyst, you will regularly interact with production managers, engineers, and quality assurance teams through virtual meetings and digital collaboration tools. Your main responsibilities include collecting and analyzing production data, identifying trends, and providing actionable insights to optimize manufacturing processes. Effective communication skills are essential, as you’ll often present your findings and recommendations remotely, ensuring all stakeholders are aligned despite not being on-site. Regular updates and digital dashboards help maintain transparency and foster strong team collaboration.

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

To thrive as a Manufacturing Data Analyst (Remote), you need strong analytical skills, proficiency in data modeling, and a relevant degree in engineering, mathematics, or a related field. Familiarity with data analytics tools such as SQL, Python, Power BI, and ERP/MES systems, as well as certifications like Six Sigma, is highly beneficial. Excellent problem-solving abilities, communication skills, and attention to detail help you interpret data and collaborate across teams. These skills are crucial for driving data-driven decision-making, process improvements, and operational efficiency in manufacturing environments.

What is the difference between Manufacturing Data Analyst Remote vs Manufacturing Data Analyst in-office?

AspectManufacturing Data Analyst RemoteManufacturing Data Analyst In-office
Work EnvironmentRemote, home-based setup with digital collaboration toolsOn-site manufacturing facilities or office locations
Required CredentialsBachelor's in Data Analysis, Manufacturing, or related field; proficiency in data toolsSame as remote, often with additional industry-specific certifications
Employer & Industry UsageManufacturing companies adopting remote data analysis practicesTraditional manufacturing settings with on-site data analysis
Search & Comparison IntentPeople looking for remote manufacturing data analysis rolesIndividuals seeking in-office manufacturing data analyst jobs

The main difference between Manufacturing Data Analyst Remote and in-office roles lies in the work environment. Remote positions allow analysts to work from home using digital tools, while in-office roles require presence at manufacturing sites or offices. Credentials and industry usage are similar, but the choice depends on your preference for remote work versus on-site presence.

Is it possible to work remotely as a manufacturing data analyst?

Manufacturing data analysts can often work remotely, especially if their role involves analyzing digital data, creating reports, and using tools like SQL, Excel, or data visualization software. However, some positions may require on-site presence for equipment operation or collaboration with manufacturing teams. Remote work availability depends on the company's policies and the specific responsibilities of the role.

What does a manufacturing data analyst do?

A manufacturing data analyst collects, analyzes, and interprets production and operational data to identify trends, improve processes, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with manufacturing teams to optimize efficiency and quality.

What job categories do people searching Manufacturing Data Analyst Remote jobs in Providence, RI look for?

The top searched job categories for Manufacturing Data Analyst Remote jobs in Providence, RI are:

Infographic showing various Manufacturing Data Analyst Remote job openings in Providence, RI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,486 per year, or $40.1 per hour.

Workforce & Talent Insights Analyst

Ocean Spray

Lakeville, MA • On-site, Remote

$65K - $81K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Ocean Spray rating

9.0

Company rating: 9.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

15th of 445 rated food and drinks producers


Job description

Ocean Spray is hiring for a(n) Workforce & Talent Insights Analyst! We're a team of farmers, thinkers, creators, and doers. Whatever your title, whatever your role - it always comes back to this: we're a farmer-owned co-op where everyone rolls up their sleeves to get the job done. Three maverick farmers started it all - and we've been making our own way ever since.
Position Location: We're all about flexibility. This will be a remote role based out of our corporate headquarters in Lakeville, MA. We are open to remote candidates.
The Workforce & Talent Insights Analyst leverages data, analytics, and evidence-based practices to support informed workforce and talent decisions. This role focuses on descriptive, diagnostic, and predictive analysis of organizational data-analyzing, visualizing, and communicating insights to improve hiring quality, development outcomes, team member experience outcomes, and data-informed decision-making across the Cooperative. The role partners closely with HR, business leaders, and cross-functional teams to translate complex data into clear, actionable insights that drive continuous improvement. This position emphasizes hands-on analytics, data storytelling, and practical application of measurement principles.
A Day in the Life...
  • Analyze workforce, talent, assessment, and survey data to identify trends, risks, and opportunities impacting hiring, retention, internal movement, and team member experience.
  • Design, build, and maintain dashboards, scorecards, reports, and data visualizations that translate complex data into clear, actionable insights for HR and business stakeholders.
  • Apply descriptive, diagnostic, and predictive analytics (e.g., trend analysis, regression, longitudinal analysis) to anticipate outcomes and support proactive workforce and talent decisions.
  • Support the analysis and continuous improvement of assessment and selection programs by evaluating outcomes, effectiveness, and fairness indicators using data and reporting.
  • Partner with HR, Talent, Learning & Development, and Continuous Improvement teams to define metrics, data requirements, and analytic approaches aligned to business needs.
  • Develop documentation, job aids, and training materials to support data literacy and adoption of workforce and talent insights.

What We Are Looking For:
Required
  • Bachelor's degree in Data Analytics, Industrial/Organizational Psychology, Human Resources, Organizational Psychology, or a related field.
  • Advanced proficiency in developing and maintaining dashboards, scorecards, reports, and data visualizations (e.g., Power BI or similar) that clearly communicate insights to HR and business stakeholders.
  • Strong analytical and problem-solving skills (e.g., collect, clean, integrate, and analyze workforce, talent, assessment, and survey data).
  • Ability to conduct exploratory, descriptive, and predictive analyses using statistical techniques (e.g., regression, trend, or longitudinal analysis) to identify trends, risks, and opportunities.
  • Experience analyzing assessment, survey, and talent data-including validity, adverse impact, fairness, and program effectiveness-to support continuous improvement and data-informed decisions.
  • Ability to partner with senior team members and cross-functional HR stakeholders (e.g., L&D, Talent Acquisition, Total Rewards) to define metrics, track outcomes, and share actionable insights.
  • Curiosity and commitment to staying informed on emerging research, tools, and best practices in people analytics, assessments, and survey methodology.

Preferred
  • Master's degree in Data Analytics, Industrial/Organizational Psychology, Human Resources, Organizational Psychology, or a related field.
  • 3 years of relevant experience in workforce analytics, people analytics, or talent analytics roles preferred
  • Experience with Workday preferred

Physical Requirements
  • Requires the ability to drive in a car for long distances or extended periods of time.
  • Requires the ability to travel by plane on periodic basis.

Education:
Bachelor's or University Degree (Required)Master's Degree (Preferred)
Work Experience:
At least 3 Years of Experience
Annual Salary:
$65,000 - $81,300
The base salary range information above serves as a guideline of the position's typical hiring range. We value and appreciate what makes you unique and will consider a variety of factors when determining an offer. These factors include, but are not limited to, your skills and experience, external and internal benchmarks, as well as overall company considerations. Certain positions may be eligible for short-term and long-term incentive rewards. We also offer a competitive and comprehensive benefits program that supports all aspects of your health and well-being.
Benefits:
  • Complete insurance package on Day-1 that includes a plethora of health and wellness programs
    • Health, Dental and Vision insurance
    • Health savings account
    • Flexible spending account
    • Life and accident insurance
    • Employee assistance program
    • Telehealth services
    • 1:1 health coaching
    • Supportive benefits for all the stages of your life
  • 401(k) with up to 6% Company matching; additional potential discretionary match at year-end
  • Short-Term Incentive/Performance bonuses
  • Flexible scheduling options
  • Vacation pay, up to three weeks of time (pro-rated for your first year of employment)
  • Holiday pay for 12 holidays
  • Career development and growth opportunities
  • Tuition/Education assistance programs
  • Access to LinkedIn Learning
  • Scholarship programs for children of employees
  • Parental leave
  • Bright Horizons Family Solutions - Back-up care, tutoring, etc.
  • Adoption assistance
  • Bereavement leave
  • Up to $300 fitness reimbursement
  • Up to $300 massage reimbursement
  • Employee appreciation events
  • Employee discounts
  • Charitable giving

Who We Are:
You might have our iconic cranberry juice in your fridge or have gotten into heated holiday debate about what's better - canned or fresh cranberry sauce. But did you know that the hardworking people growing the superfruit in our products are 700 family farmers that own our cooperative? They entrust us with what is most precious to them to create new and innovative products that will delight consumers and grow this beloved brand today and into the future.
Team members, farmers, consumers and communities alike--we value what makes us unique and strive to connect our farms to families for a better life by living our values:
  • Grower Mindset - We embrace our grower-owners innovative spirit and heritage through confidence, learning and focus on the future.
  • Sustainable Results - Guided by purpose, we are focused on delivering results for our grower-owners.
  • Integrity Above All - We are ethical, doing the right thing for our grower-owners, customers, consumers and each other
  • Inclusive Teamwork - We build diverse and inclusive teams that strengthen our cooperative.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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