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Strong employer brand and mid-level generalist data role in a metro creates high candidate competition.
Core data skills are transferable but scientific-research focus and Collibra governance increase domain specificity.
Explicit 3-year minimum plus required SQL, Python, Databricks/Spark and Snowflake increases strictness.
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Support Data Scientists and Product Managers by analyzing large datasets and preparing data for hypotheses testing or prototypes within the Research Data Platform domains.
Create basic insights and recommendations, including reviewing data science algorithm metrics like precision and recall, and communicate findings to stakeholders.
Lead low-complexity analytics efforts with supervision and maintain strong cross-functional relationships, delivering project status updates effectively.
Minimum 3 years of work experience in data analysis or related roles.
Proficiency in at least one programming language (preferably Python) and SQL; experience with Pandas, Apache Spark/Databricks, Snowflake SQL, and Collibra is required.
Knowledge of basic statistics relevant to data science such as precision, recall, and F-score.
High level of English proficiency to communicate with global stakeholders.
Experience working in agile teams supporting product owners and data scientists, preferably within a data platform or research-oriented environment.
Technical expertise in large-scale data manipulation and analysis using tools like Databricks and data governance via Collibra.
Ability to manage stakeholder relationships by aligning activities and presenting insights clearly and regularly.