🌐 Remote Manufacturing Data Analyst
💼 Position Overview
Position Type: Full-Time
Location: Remote
Annual Salary: $184,500
🏢 About the Role
Are you excited by the challenge of transforming complex information into meaningful strategies? Do you enjoy working in an evolving environment where innovation and problem-solving go hand in hand? We are seeking a highly capable Remote Manufacturing Data Analyst with exceptional skills in interpreting data and a strong drive to optimize performance. This is more than just a job—it's a unique chance to lead the charge in modernizing manufacturing through insightful analysis and digital innovation.
In this influential role, you will collaborate with our operations, engineering, and supply chain departments to capture, refine, and interpret data that supports intelligent decision-making. Your expertise will help identify inefficiencies, improve production quality, reduce waste, and enhance operational efficiency across global systems. You’ll help deliver measurable improvements and long-term value by merging technical acumen with business awareness.
🚀 Why This Role Matters
In the competitive landscape of modern manufacturing, timely, data-informed decisions are vital. As a Remote Manufacturing Data Analyst, you will support our commitment to excellence by:
- 🔹 Lowering operational expenditures using data-supported tactics
- 🔸 Boosting production output with real-time system evaluations
- 🔹 Exposing process constraints and suggesting impactful adjustments
- 🔸 Furthering sustainability and reducing environmental footprint
- 🔹 Equipping global teams with digestible, actionable intelligence
Your influence will extend from factory operations to executive planning, helping ensure the organization remains innovative, agile, and resilient.
📊 Key Responsibilities
✅ Data Acquisition & Management
- Collect structured and unstructured data from machinery, sensors, MES, ERP platforms, and cloud services
- Validate and standardize data inputs across diverse manufacturing sites
- Create efficient pipelines for automated, continuous data gathering using API integrations and scripts
✅ Insight Development & Reporting
- Leverage advanced analytics and AI tools to identify operational trends and hidden correlations
- Design user-friendly dashboards and reporting tools via Tableau, Power BI, or similar platforms
- Automate recurring analytics reports and provide regular insights to support cross-departmental objectives
- Conduct comprehensive investigations into factors affecting efficiency, product quality, and resource utilization
✅ Monitoring & Alerting Systems
- Build and maintain systems that monitor KPIs and flag abnormalities in real-time
- Partner with quality and production teams to trace variances back to root causes
- Translate analytics findings into preventive and corrective measures
✅ Forecasting & Scenario Planning
- Construct models that estimate maintenance cycles and detect potential failures
- Assist in supply chain planning through statistical forecasting and inventory trend evaluations
- Apply analytical frameworks to determine the most efficient resource allocations and production approaches
✅ Operational Improvement
- Provide data-backed recommendations to support Lean methodologies and Six Sigma efforts
- Collaborate with internal stakeholders to test and implement enhancements
- Act as a consultant within project teams focused on digital evolution
🧠 What You Bring to the Table
🌟 Technical Mastery
- Proficiency in SQL, R, Python, and data-wrangling libraries
- Hands-on experience with Tableau, Power BI, or Looker for visualization
- Familiarity with cloud-based systems like AWS or Azure
🌟 Industry Know-How
- Solid understanding of manufacturing environments and performance metrics
- Exposure to Lean Manufacturing, Total Quality Management, or Kaizen practices
- Experience working with SCADA, MES, or ERP tools is preferred
🌟 Strong Communication
- Ability to simplify technical findings and present them to cross-functional audiences
- Skilled in documenting processes, analytical methodologies, and improvement outcomes
- Effective team player with an autonomous work ethic
🎓 Required Qualifications
- 📘 Degree in Data Science, Industrial Engineering, Computer Science, or a related discipline
- 📘 At least 3 years in a data analytics role within a manufacturing or industrial domain
- 📘 Expertise with predictive modeling and statistical techniques
- 📘 Proven success in applying insights to improve operations
🌱 Growth & Development Opportunities
🌈 Career Progression
From senior analytics roles to future leadership positions in operations or strategy, this role paves the way for long-term professional growth.
🌈 Advanced Learning & Support
Team members receive full backing for career development through sponsored access to certifications, workshops, and technical boot camps in machine learning, cloud data services, and business intelligence.
🌈 Strategic Initiatives & Exposure
You’ll be involved in collaborative projects across business units—an excellent opportunity to elevate your capabilities while contributing to initiatives that shape the company’s future.
🌍 Remote Work Culture & Advantages
- 🎯 Flexible Remote Environment – Work from your preferred location while engaging with a global network of forward-thinkers
- 🎯 Wellness Programs – Extensive resources for health, including medical, dental, vision coverage, and wellness reimbursements
- 🎯 Exceptional Earnings – Base salary of $184,500 per year with performance-based incentives
- 🎯 Global Integration – Collaborate with colleagues across regions to solve challenges and share innovative practices
- 🎯 Inclusive & Respectful Culture – Join a team that values diverse perspectives, equity, and collaboration
📣 Take the Next Step in Your Career Today!
Step into a role where your passion for problem-solving and your talent for uncovering insights can make a real difference. Join a dynamic, supportive, forward-thinking organization that invests in your potential and rewards your results. Your next career breakthrough begins here.
📥 Submit your application now and become a driving force in the next generation of manufacturing innovation!
