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.