Job SummaryThe Senior Quality Data & Systems Analyst provides enterprise analytical leadership by defining trusted quality measures, developing decision-support products, validating data, identifying trends and risks, and translating quality information into actionable insights. The role owns assigned KPI definitions, analytical methods, dashboards, scorecards, and interpretation of results, and serves as Quality's liaison to Corporate Data Governance, Artificial Intelligence (AI), Business Intelligence (BI), Data Engineering, IT, and Digital Quality & Infrastructure.
Key ResponsibilitiesDevelop and sustain dashboards, scorecards, models, and recurring reports for COPQ, customer, supplier, operational, audit, CAPA, and QMS performance.
Identify trends, systemic risks, and improvement opportunities and translate findings into concise recommendations for leaders.
Provide analysis for management review, strategic priorities, risk assessments, root-cause investigations, corrective actions, and continuous improvement.
Define and maintain KPI logic, business rules, source mappings, ownership, validation criteria, and controlled documentation.
Align metric definitions and reporting standards with process owners, Finance, Quality, Corporate Data Governance, BI, and data owners.
Represent Quality in applicable enterprise data-governance, BI, AI, and analytics councils or working teams.
Partner with Corporate Data Governance on ownership, stewardship, critical data elements, business terminology, data-quality requirements, and escalation paths.
Partner with Corporate BI on governed data products, semantic models, dashboard standards, visualization practices, priorities, and release validation.
Partner with Corporate AI to identify and prioritize use cases, define business and data requirements, validate outputs and limitations, and support responsible adoption. Corporate AI retains model governance and technical ownership.
Develop metric dictionaries, standards, user guides, and training for dashboards, AI-enabled insights, and quality-data interpretation.
Required Education & ExperienceBachelor's Degree
Specialized Degree: Engineering, Data Science, Statistics, Information Systems, Business Analytics, Quality, or a related field.
5-7 Years Experience
Field(s) of Expertise: Manufacturing quality, quality analytics, business intelligence, ERP/QMS data, or related experience.
Preferred Education & ExperienceMaster's Degree
8-11 Years Experience
Spans of ControlDoes this role manage Southwire team members: No
TravelDomestic - less than 20% of time
Physical RequirementsMoving - 5% of time
Standing - 5% of time
Sitting - 90% of time
Working ConditionsOffice
EquipmentComputer/Keyboard
CompetenciesAction Oriented
Plans and Aligns
Customer Focus
Balances Stakeholders
Collaborates
Nimble Learning
SkillsAnalytical Skills
Data Governance
Data Reporting
Investigation
JIRA
MySQL
Process Improvement
Quality Control
Tableau (Business Intelligence Software)
Troubleshooting (Problem Solving)
Benefits We Offer:
- 401k with Matching & Pension Plan (Eligible for Pension after 1,000 Hours Worked)
- Flexible Work Schedules