• Work closely with different business units to understand their business goals and translate
unstructured business questions into quantitative problems.<\/span>
<\/li>
• Analyze user behavioral data to identify patterns, uncover opportunities, facilitate the
formulation of business plans, and to improve conversion and reduce churn.<\/span>
<\/li>
• Apply analytical methods and algorithms to prototype, build, and deploy data products that generate business insights and improve operational efficiency.<\/span>
<\/li>
• Design and build reports and visualizations on business performance. <\/span>
<\/li>
• Design A/B tests and propose actionable recommendations. <\/span>
<\/li>
• Collaborate with Marketing, Product, Content, and Engineering to further optimize
operations. <\/span>
<\/li>
• Promote a data -driven culture throughout the organization.
<\/span><\/li><\/ul>

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Requirements<\/h3>
• Degree in Engineering, Business, Statistics, Computer Science, Data Science, or any
related analytical field.<\/span>
<\/li>
• At least 5 years' of work experience in analytics and implementing ML/statistical models. <\/span>
<\/li>
• Proficiency in SQL, Python/R or other statistical programming languages.

• Solid with data exploration and data visualization tools like Tableau. <\/span>
<\/li>
• Strong knowledge of statistics concepts (e.g. hypothesis testing, regression analysis).<\/span>
<\/li>
• Understanding of A/B test design and implementation.<\/span>
<\/li>
• Ability to think strategically, analyze and interpret market and consumer information. <\/span>
<\/li>
• Excellent communication skills, able to convey complex concepts to technical and nontechnical audiences alike. Proficiency in spoken and written English. <\/span>
<\/li><\/ul>

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