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Tier-2 brand, mid-level generalist data role in metro with broad requirements creates high competition.
Core data governance skills transfer across industries, though domain-specific process knowledge increases sensitivity.
No explicit years but required data governance skills and preferred certifications produce moderate screening rigor.
Analyze large complex datasets to identify trends, patterns, and insights to support business decisions.
Develop and implement data modeling and data mining techniques aligned with business objectives.
Collaborate with cross-functional teams and present findings to stakeholders to improve data quality and drive strategic initiatives.
Bachelor's degree in Business Analytics, Computer Science, Statistics, or Master's in Data Science.
Required certifications include Certified Data Management Professional, Databricks Certified Associate Developer for Apache Spark 3.0, Microsoft Certified: Azure Data Engineer Associate, among others.
Proficient in English (C2 level).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in big data analytics with strong skills in data mining, modeling, and statistical analysis in complex data environments.
Able to effectively communicate complex data findings to diverse stakeholders and influence data-driven decision making.
Comfortable working in a hybrid work environment and collaborating across multiple business domains and teams.