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Strong employer brand, popular mid-level data role, hybrid location and broad skill list increase candidate competition.
Data governance and engineering skills transfer across industries but require domain-specific governance knowledge.
No explicit years or mandatory certifications, but domain skills and certifications may be screened.
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Analyze and interpret large, complex datasets to identify trends and insights that drive business strategy.
Develop and implement data modeling and data mining techniques to support business objectives.
Collaborate with cross-functional teams and present findings to stakeholders to enable data-driven decision making and improve data quality.
Bachelor's degree in Business Analytics, Computer Science, Statistics, or a Master's in Data Science.
Proficiency in big data analytics and relevant data modeling/statistical methods.
Work Experience Required: Not explicitly mentioned in the JD.
Proficiency in English at C2 level.
Experienced in big data environments with a strong ability to extract and communicate actionable insights.
Skilled in advanced data mining and statistical techniques aligned with business goals.
Comfortable working in hybrid model and collaborating cross-functionally to influence strategic initiatives.