{"id":2496565,"url":"https://alion.io/job/binance-bap-data-analyst-2","title":"BAP - Data Analyst","company":{"id":44,"name":"Binance","domain":"binance.com","url":"https://alion.io/company/binance","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong","Singapore","Taiwan"],"countries":["HK","SG","TW"],"hiring_countries":["HK"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":101000,"period":"year","method":"role_country_seniority_unknown","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-14T02:17:50Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T17:02:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.\nWe're looking for a Data Analyst Intern to join the Risk/Data team. The intern will support data pipeline development, SQL-based analytics, and data standardization initiatives under the guidance of senior team members. This is a great opportunity to gain hands-on experience with large-scale data processing in a real business environment.\nResponsibilities:\nAssist in developing and maintaining SQL-based data pipelines and analytics workflows\nSupport data standardization and normalization projects (e.g., address parsing, entity resolution)\nHelp build and optimize data models, dashboards, and reports\nConduct ad-hoc data analysis under mentorship and present findings to the team\nAssist in monitoring data quality and implementing validation logic\nCollaborate with team members on cross-functional data projects\nRequirements:\nCurrently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field\nSolid SQL skills, familiarity with Hive/Spark SQL is a plus\nBasic proficiency in at least one scripting language (Python preferred)\nStrong interest in data analytics, risk control, or fraud detection\nGood communication skills, eagerness to learn and take initiative\nAvailable for at least 3 days per week, minimum 3-month internship duration\nWhy Binance\nShape the future of finance \nCollaborate with world-class talent in a user-centric global organization with a flat structure\nTackle challenging projects in a fast-paced and innovative enviornment with autonomy\nThrive in a results-driven workplace with opportunities for career growth and continuous learning\nCompetitive salary and company benefits\nRemote-first, work-from-home arrangement (may vary depending on the nature of the role and team)\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\nBy submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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