Back
Metro location, hybrid flexibility, popular data analyst title, and broad skill requirements increase applicant competition.
Core SQL, Python, ETL and analysis skills are highly transferable across industries, so low sensitivity.
Explicit 1–2 year requirement plus mandatory SQL, Python and BigQuery skills create medium shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own data analysis and infrastructure improvement initiatives to enhance data quality and coverage.
Collaborate cross-functionally with Product, Engineering, and Research teams to drive scalable data process improvements.
Deliver advanced data insights and mentor junior analysts while managing projects independently end-to-end.
Bachelor's degree (full-time) required.
1 to 2 years of experience in analytics, data operations, or quantitative research.
Advanced proficiency in SQL, Python, BigQuery, and Excel.
Strong understanding of ETL processes and experience working with large-scale datasets.
Operates effectively in ambiguous environments, driving clarity and organizational improvements.
Experienced in interdisciplinary collaboration across Product, Engineering, and Research teams.
Skilled in handling large datasets with a focus on data accuracy, coverage, and scalability.