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Strong global brand, mid-level generalist data role, metro location, and broad Databricks/Snowflake skillset increase competition.
Core analytics skills are transferable, platform and research-domain expertise moderately increase domain specificity.
Explicit 5+ years and required Databricks, Snowflake, SQL, Python, and PySpark make filters strict.
Independently execute complex data analytics projects using Databricks, Snowflake, SQL, and Python to generate insights and recommendations for product stakeholders.
Analyze large datasets to support product quality assessment, data science algorithm validation, and development of data products within Research Data Platform domains.
Communicate results effectively to Product Owners and Data Scientists, driving data-informed decisions and continuous improvement in data products.
Minimum 5 years of work experience in business intelligence, data engineering, analytics, or related fields.
Proficient in SQL with experience managing large and complex datasets.
Technical skills in Databricks, Python (including Pandas and PySpark), Apache Spark, and Snowflake are mandatory.
English proficiency sufficient for communication with global stakeholders.
Experienced in delivering analytics in data product teams, particularly in environments using distributed data-processing technologies like Databricks and Spark.
Detail-oriented with strong analytical skills, capable of handling data quality issues, root-cause analysis, and validation of data science metrics like precision and recall.
Comfortable interfacing with Product Managers, Data Scientists, and stakeholders, translating complex data insights into actionable recommendations.