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У роли понятный фокус на управлении данными и аналитике, заметная ответственность на стыке команд и есть поддержка развития, но широкий круг задач и отсутствие данных о зарплате оставляют важные детали для оценки открытыми.
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Широкая зона задачАктуальная аналитикаПоддержка развитияУдалённо по США
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Governance & Analytics Analyst (Data Governance/AI): Transforming complex enterprise data into trusted insights and governing data quality, lineage, metadata, and stewardship across business domains with an accent on advanced analytics, executive reporting, and AI-assisted analysis. Focus on coordinating governance initiatives, validating AI-generated outputs, identifying root causes in large datasets, and improving data-driven business processes.
Location: Remote from anywhere in the United States; normal office and manufacturing facility environment, with occasional travel required at less than 15%.
Company
hirify.global manufactures fiber optic cable, connectivity products, and accessories and provides engineering and installation services for telecom customers.
What you will do
Engage senior business stakeholders to define data governance priorities, align business objectives, and translate needs into actionable initiatives.
Plan, coordinate, and execute data governance initiatives in alignment with business priorities, timelines, and governance objectives.
Analyze complex enterprise datasets to identify trends, anomalies, root causes, risks, opportunities, and process improvement areas.
Develop executive dashboards, visualizations, and data stories communicating governance performance, trends, insights, and recommendations.
Develop, document, and maintain governance frameworks covering data quality, data lineage, metadata management, and data stewardship.
Collaborate with data owners, stewards, technology, information security, risk, compliance, and business teams; mentor junior analysts and support governance best practices.
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 or Power BI for data extraction, transformation, analysis, and validation.
Experience analyzing large, complex datasets using statistical, exploratory, and diagnostic analysis techniques.
Experience translating complex analysis into actionable insights and clear presentations of findings and recommendations.
Experience using AI-enabled productivity tools such as Microsoft Copilot, Microsoft Coworker, Claude, Power BI Copilot, or similar tools; ability to validate AI-generated outputs using critical thinking, business knowledge, and data analysis.
Experience with data governance tools such as Collibra or Alation and data management concepts including data quality, metadata, and data lineage.
Ability to manage and coordinate governance initiatives, work autonomously, exercise sound judgment, manage competing priorities, and deliver high-quality outcomes on time.
Nice to have
Familiarity with Oracle EBS or other ERP, MRP, supply chain planning, and scheduling systems.
Familiarity with data governance frameworks such as DGI or DAMA-DMBOK.
Familiarity with S&OP and/or IBP processes.
Culture & Benefits
Flexible time off policy.
401(k) company match up to 4% on a dollar-for-dollar basis.
Professional development, training, and tuition reimbursement programs.
Medical, dental, vision, and life insurance options.
Opportunities for career advancement and a commitment to employee development.
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