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High due to strong brand, remote eligibility, and a common generalist data analyst profile.
Low: analytical, SQL, and reporting skills are broadly transferable across industries.
Moderate filters: explicit 1-year minimum plus mandatory SQL and analytics tooling proficiency.
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Perform deep-dive analysis on large datasets to generate insights and recommend solutions for complex business problems.
Build and maintain data products like dashboards and automated reports to support critical decision-making across teams.
Own data validation and quality assurance to ensure accuracy and reliability of all technical outputs.
Bachelor's Degree in Computer Science, Economics, Engineering, or related field.
Minimum 1 year of technical experience in data-focused roles such as business analytics, intelligence, data science, or engineering.
Proficiency in SQL with ability to write and understand complex queries.
At least 50% onsite work presence required unless full remote work is approved.
Experienced in working cross-functionally with Engineering, Product, and Operations teams to deliver analytics solutions and drive operational efficiency.
Skilled at translating ambiguous business questions into clear data-driven recommendations communicated effectively to senior leadership.
Comfortable navigating fast-paced, ambiguous environments with high accountability and ownership for data analysis projects.