Data Analyst
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Job Location:
Fort Mill, SC - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
About the Role:
Were looking for a Data Analyst to support our predictive maintenance initiatives for IoT-enabled this role youll analyze historical and real-time equipment data build predictive models and turn insights into actionable recommendations that help improve uptime reduce maintenance costs and drive smarter operational decisions.
What Youll Do:
- Extract clean and analyze data from IoT-enabled equipment and internal maintenance systems.
- Retrieve and evaluate historical equipment data to highlight ROI uptime improvements and cost savings.
- Establish baseline failure rates component lifecycles and expected runtime or cycle counts between maintenance events.
- Design build and validate statistical and machine learning models to detect anomalies in equipment behavior.
- Link sensor data with historical service records to uncover correlations between equipment performance and maintenance outcomes.
- Contribute to the development of Digital Twin structures that combine service records and sensor measurements to:
- Estimate component service life and degradation
- Track usage trends (e.g. cycle counts run time)
- Predict remaining useful life and recommended maintenance schedules
- Estimate component service life and degradation
- Develop predictive dashboards to visualize trends performance patterns and potential failures.
- Partner with Engineering IT and Service Operations teams to ensure data accuracy and system connectivity.
- Translate technical insights into clear actionable recommendations for business and field teams.
What You Bring:
- Education: Bachelors degree in Data Science Computer Science Statistics Engineering or a related quantitative field (or equivalent practical experience).
- Technical Skills:
- Strong proficiency in SQL and time-series databases
- Programming experience in Python or MATLAB
- Experience with data cleaning wrangling and large messy datasets
- Solid understanding of statistical analysis and modeling
- Strong proficiency in SQL and time-series databases
- Soft Skills:
- Analytical thinker with strong problem-solving and critical-thinking abilities
- Excellent communication and collaboration skills
- Detail-oriented proactive and adaptable in a fast-paced environment
- Analytical thinker with strong problem-solving and critical-thinking abilities
- Preferred Experience:
- Exposure to industrial equipment manufacturing material handling (e.g. forklifts pallet jacks) or telematics data
- Experience with predictive maintenance (PdM) reliability engineering or industrial IoT (IIoT) initiatives
- Exposure to industrial equipment manufacturing material handling (e.g. forklifts pallet jacks) or telematics data
Why Join Us:
Youll be part of a growing team driving innovation through data and technology helping shape the future of equipment reliability and maintenance strategy. This is an opportunity to apply advanced analytics to real-world challenges and make a measurable impact on operational performance.
We are an equal opportunity employer and value diversity at all levels of the organization. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.
Required Experience:
Contract
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
Our experienced technicians prolong the life of your commercial HVAC equipment by providing support, repairs, and preventative maintenance.
