Back
Mid-level, metro data analyst role with broad Databricks/Snowflake skillset and reputable employer increases candidate competition.
Databricks/Snowflake emphasis and product-domain analytics moderately limit cross-industry transferability.
Mandatory 5+ years plus Databricks, Snowflake, SQL and Python experience enforces strict technical filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Independently deliver complex analytical tasks using Databricks, Snowflake, SQL, Python, and related technologies to support data product development and quality assessment.
Collaborate with Product Owners, Data Scientists, and stakeholders to analyze large datasets and generate actionable insights and recommendations.
Support domains responsible for data products by performing large-scale data preparation, hypothesis testing, and evaluation of data science algorithm performance.
Minimum 5 years of work experience in business intelligence, data engineering, analytics, data analysis, or related discipline.
Strong SQL skills handling large and complex datasets; coding proficiency in at least one language (preferably Python).
Practical experience with Databricks, Apache Spark, PySpark, Pandas, Snowflake, and common data processing and validation techniques.
Proficiency in English for global stakeholder communication.
Experienced with distributed data-processing technologies and advanced data analysis methods relevant to data science (precision, recall, statistical significance).
Able to manage stakeholder relationships effectively with Product Managers and Data Scientists across multiple functions.
Comfortable working independently with complex data sets in an Agile environment and delivering clear communication to technical and non-technical audiences.