Data Governance Analyst
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Job Description
Data Governance & Analytics Analyst governing enterprise data for AFL, a fiber-optic cable and connectivity manufacturer. Developing analytics, dashboards, AI-enabled insights, and data quality frameworks.
Responsibilities:
- Lead engagement with senior business stakeholders to define data governance priorities and translate needs into actionable data initiatives
- Plan, coordinate, and execute data governance initiatives aligned with business priorities, timelines, and governance objectives
- Analyze complex enterprise datasets to identify trends, anomalies, root causes, risks, and opportunities
- Develop executive dashboards, visualizations, and data stories communicating insights, governance performance, trends, and recommendations
- Leverage AI-assisted analysis and productivity tools for data discovery, documentation, reporting, and insight generation
- Develop, document, and maintain data governance frameworks, including data quality standards, data lineage, metadata management, and data stewardship models
- Partner with data owners and stewards to ensure accountability for data quality, integrity, and compliance
- Conduct process assessments and root cause analyses and recommend scalable process and system improvements
- Support regulatory and compliance initiatives by ensuring adherence to data policies, standards, and controls
- Collaborate with technology, information security, risk, compliance, and business teams to operationalize governance tools and processes
- Mentor junior analysts and contribute to data governance best practices
- Transform complex enterprise data into trusted insights driving business decisions, operational performance, and continuous improvement
Requirements:
- Bachelor’s degree in Data Analytics, Computer Science, Information Management, Mathematics, Engineering, or a related discipline
- 3–5+ years of experience in business analysis, data analysis, or data governance roles, preferably in a supply chain or manufacturing environment
- Advanced understanding of data structures, relational databases, data modeling principles, and analytical techniques
- Advanced proficiency in SQL, Excel, and data visualization tools such as Tableau and Power BI
- Familiarity with Oracle EBS or other ERP, MRP, Supply Chain Planning, and Scheduling systems
- Familiarity with data governance frameworks such as DGI and DAMA-DMBOK
- Experience analyzing large, complex datasets using statistical, exploratory, and diagnostic analysis techniques
- Experience translating complex data analysis into actionable insights and delivering clear presentations
- Experience using AI-enabled productivity tools such as Microsoft Copilot, Microsoft Coworker, Claude, or Power BI Copilot
- Ability to validate AI-generated outputs using critical thinking, business knowledge, and data analysis
- Experience with data governance tools such as Collibra and Alation
- Ability to manage and coordinate data governance initiatives
- Ability to work autonomously, exercise sound judgment, and manage competing priorities
- Familiarity with S&OP and/or IBP processes is a plus
- Some travel may be required, but not frequent (less than 15%)
Benefits:
- Flexible time off policy
- 401K company match up to 4% (dollar for dollar)
- Professional development, training, and tuition reimbursement programs
- Excellent medical, dental, vision, and life insurance policy options
- Opportunities for career advancement with an industry-leading company
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