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Strong Tier-1 brand, mid-level generalist data role, and popular title increase applicant competition.
Core data analytics and engineering skills are highly transferable across industries.
Explicit 4–7 years plus mandatory SQL, Tableau and Excel skills create moderate filtering.
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Develop and maintain scalable value quantification frameworks for Services business unit offerings.
Analyze data using tools like Excel, R, Python, and Tableau to generate insights and maintain performance dashboards.
Collaborate cross-functionally with marketing, IT, customer service, and global customers to optimize programs and align solutions with business needs.
4-7 years of relevant experience in data analytics or related roles.
Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or related field.
Proficiency in SQL, VBA, Microsoft Excel, Word, PowerPoint, and Access; programming/coding skills are a strong plus.
Work Experience Required: 4-7 years.
Experienced in mid-level data analytics with a progression towards strategic, value-based framework development.
Comfortable managing multiple projects with strong organizational skills and attention to detail.
Capable of bridging technical proficiency with business needs to deliver measurable impact and support program improvements.