Marketing Business Analyst - APAC at Binance

Asiago, Veneto, Italy -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Marketing Analysis, Business Intelligence, Excel, SQL, Tableau, Power BI, Data Visualization, KPI Tracking, ROI Analysis, Competitor Analysis, Market Research, Statistical Validity, User Segmentation, Python, R

Industry

Financial Services

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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. \n Key Responsibilities Analyze marketing campaign performance, customer behavior, and market trends to identify opportunities and risks. 分析市场活动表现、客户行为及市场趋势，识别机会与风险。 Develop and maintain marketing dashboards and reports to track KPIs and ROI. 开发并维护营销仪表盘和报告，跟踪关键绩效指标（KPI）和投资回报率（ROI）。 Collaborate with marketing teams to define data requirements and support business analysis and key decisions. 与市场、运营和产品团队合作，明确数据需求，支持业务分析和决策。 Conduct competitor analysis and market research to inform marketing strategies. 进行竞争对手分析和市场调研，为营销策略提供依据。 Use data visualization tools to present insights clearly to stakeholders. 使用数据可视化工具，向相关方清晰展示分析结果。 User conversion, behavioral preferences and segmentation analysis, and the establishment of a long-term effective data monitoring system and user operation framework, operational testing and analysis, and activity effect analysis, to evaluate operations and marketing activities with strict statistical validity standards, and generate business suggestions and decisions. 用户转化、行为偏好及分层分析，并搭建长期有效的数据监控体系和用户运营框架, 运营测试分析、活动效果分析，以严格的统计有效性标准评估运营及市场活动，产出业务建议及决策。 Qualifications Bachelor’s degree in Statistics, mathematics or related field. 统计学或其他数学相关专业本科及以上学历。 Proven experience in marketing analysis, business intelligence, or related roles. 具备市场分析、商业智能或相关岗位的工作经验。 Proficiency in data analysis tools such as Excel, SQL, Tableau, Power BI, or similar. 熟练使用Excel、SQL、Tableau、Power BI等数据分析工具。 Strong analytical skills with the ability to interpret complex data sets. 较强的分析能力，能够解读复杂数据。 Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be a strong advantage 需具备英语/普通话双语能力，以便与海外合作伙伴和利益相关者进行沟通协调。掌握其他语言者优先考虑。 Knowledge of digital marketing channels and metrics is a plus. 了解数字营销渠道及指标者优先。 Experience with statistical software or programming languages (Python, R) is a bonus. 具备统计软件或编程语言（Python、R）经验者优先。 \n Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Responsibilities

The role involves analyzing marketing campaign performance, customer behavior, and market trends to identify opportunities and risks, while developing and maintaining marketing dashboards and reports to track KPIs and ROI. Responsibilities also include conducting competitor analysis, supporting business decisions through data analysis, and establishing long-term data monitoring systems for user operations.