TYM North America · 14 hours ago
Data Analyst- Technical Services & Operations
TYM North America is seeking a detail-oriented Data Analyst – Technical Services & Operations to support data-driven decision-making across service, product support, and operations teams. This role focuses on transforming technical service data into actionable insights that improve product reliability, service efficiency, and customer satisfaction.
Machinery
Responsibilities
Extract, consolidate, and manage data from service systems, warranty platforms, CRM tools, and operational databases using SQL and related tools
Ensure data integrity by cleaning, validating, and organizing technical services and operational datasets
Maintain structured datasets related to service cases, product issues, escalation trends, and warranty activity
Perform exploratory and statistical analysis to identify trends, recurring issues, failure patterns, and root causes in service and product data
Analyze unresolved or escalated service cases to support root cause identification and long-term corrective actions
Translate complex technical and operational data into clear, actionable insights for business and technical stakeholders
Develop and maintain weekly and monthly dashboards and reports using tools such as Tableau, Power BI, or Google Looker Studio
Track KPIs related to service performance, warranty costs, product reliability, and customer satisfaction
Create executive-ready summaries that communicate findings to both technical and non-technical audiences
Partner with Technical Service, Engineering, Product Development, and Operations teams to understand data needs and support ongoing initiatives
Serve as an analytical escalation point by providing data-backed insights into chronic service issues or product concerns
Support continuous improvement efforts by aligning data insights with operational and service strategies
Produce analytical reports, trend analyses, and root cause summaries to support internal decision-making
Contribute data-driven insights into technical documentation, service bulletins, and product improvement discussions
Assist in standardizing reporting methodologies and data definitions across service and operations teams
Analyze dealer and customer feedback data to identify service gaps, training opportunities, and product improvement areas
Provide structured data feedback to product development teams based on recurring field and service trends
Support evaluation of new systems, updates, or process changes through data analysis
Qualification
Required
Basic to intermediate proficiency in SQL for querying and data extraction
Experience with Excel (Pivot Tables, VLOOKUP/XLOOKUP, formulas; Macros a plus)
Familiarity with Python or R for data analysis and automation
Experience working with dashboards and visualization tools (Tableau, Power BI, Looker Studio)
Strong analytical thinking and problem-solving abilities
Ability to explain technical findings clearly to non-technical stakeholders
Experience working with operational, service, or technical datasets is highly desirable
Preferred
Bachelor's degree in data science, Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field is preferred
Company
TYM North America
TYM North America is the North American distribution arm of Tong Yang Moolsan, the largest South Korean manufacturer of agricultural tractors.
Funding
Current Stage
Growth StageCompany data provided by crunchbase