{"id":3605655,"url":"https://alion.io/job/crypto-com-growth-data-analyst-3","title":"Growth Data Analyst","company":{"id":2746,"name":"Crypto.com","domain":"crypto.com","url":"https://alion.io/company/crypto-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong"],"countries":["HK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AppsFlyer SDK","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-04-21T08:32:51Z","employer_posted_date":"2026-04-21","last_verified_at":"2026-11-03T15:07:02Z","board_verified":true,"closed_at":null,"days_open":196,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":195},"description":"Responsibilities\nDesign, develop, and maintain interactive dashboards in Tableau to support both recurring and ad-hoc reporting needs across various growth functions and leadership teams, enabling real-time performance tracking and insights.\nWrite and optimize complex SQL queries on Databricks to drive business growth in user acquisition, campaign ROI, and customer lifecycle management.\nPartner with cross-functional teams-including growth, product, data engineering, and external vendors-to improve data infrastructure, independently troubleshoot pipeline issues, and ensuring accurate, scalable, and efficient data pipelines that support business goals.\nStreamline and automate recurring data workflows and processes, manage SQL automation and job scheduling, and maintain thorough documentation to enhance team productivity and data reliability.\nDevelop analytical models to inform marketing strategies, including predictive LTV, lead scoring or marketing mix modeling, providing actionable insights for campaign planning and optimization.\nLeverage statistical techniques and business intelligence tools to uncover trends, patterns, and opportunities that inform strategic growth decisions.\nCollaborate closely with cross-functional stakeholders to implement data-driven solutions and support end-to-end project delivery, ensuring alignment with business objectives and timelines.\nStay proactive in professional development by exploring emerging AI tools and methodologies in data science and marketing analytics, continuously enhancing analytical capabilities and industry knowledge.\nRequirements\nBachelor's degree in a quantitative field such as Computer Science, Statistics, Engineering, Information Systems, or related fields.\n2+ years of experience in data analysis or a related field. 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