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Desired Qualifications:
•  Desired 4–7 years of experience in Data management, data analytics, data engineering, or related fields.
•  Demonstrated Product leadership skills and ability to work in ambiguity.
•  Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
•  Proficiency collaborating with data Architecture, data engineering and data science teams.
•  Ability to translate complex technical concepts into business-friendly language.
•  Strong communication, prioritization, and stakeholder management skills.
•  Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
•  Understanding of large organizational data sharing constraints and data sharing agreements.
•  Experience with SQL, data lakes, data and data pipelines / ETL.
•  Significant experience with Databricks.
•  Familiarity with Java and Python.
•  Background in building internal platforms or developer facing products.
•  Experience in implementing modern data architectures at an organization.
•  Experience in a highly regulated industry performing statistical analysis and reporting.
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