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Known employer, metro hybrid, and a popular mid-level data role increase candidate competition.
Medium—data governance skills transfer across industries but require domain-specific tooling and process knowledge.
Moderate filters: specific data quality and DB2/SQL skills listed but no mandatory years requirement.
Analyze and interpret large, complex datasets to extract trends, patterns, and actionable insights for business strategy.
Develop and implement data modeling and mining techniques to support business objectives and improve data quality and accuracy.
Collaborate with cross-functional teams and present data-driven findings to stakeholders for strategic decision making.
Bachelor's degree in Business Analytics, Computer Science, Statistics, or Master's in Data Science.
Mandatory skills: Data Quality and DB2 SQL.
Certifications such as CDMP, Databricks Certified Associate Developer for Apache Spark 3.0, IBM Certified Solution Developer, Microsoft Certified Azure Data Engineer Associate, or Oracle Database Certified Specialist.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in working with big data analytics and data governance in a hybrid work setup.
Capable of applying advanced data modeling, statistical methods, and data mining techniques in large-scale environments.
Able to communicate complex analytical findings effectively to diverse stakeholders and drive data-driven initiatives across teams.