E-Commerce Business Growth Data Analyst
3 days ago
TikTok, the leading destination for short-form mobile video, is committed to inspiring creativity and bringing joy. Our global offices foster a collaborative environment where diverse voices are valued.
Our mission aligns with our values: every challenge is an opportunity to learn, innovate, and grow as one team. We prioritize courage and embracing change.
We drive impact by creating together and growing together – for ourselves, our company, and the communities we serve.
Job Description
The E-Commerce Business Growth Data Compass team optimizes operational efficiency for merchants and creators on the e-commerce platform. Leveraging algorithm-driven solutions, we focus on various aspects, including merchandise strategy, user operation, and marketing.
We strive to improve working efficiency for e-commerce merchants, influencers, and account managers, boosting growth in sellers' products, customers, and revenue.
Responsibilities:
- Improve working efficiency of e-commerce merchants, influencers, and account managers to boost growth in sellers' products, customers, and revenue.
- Participate in optimization of sellers' operations, such as marketing insights, assortment planning, customer relationship management (CRM), anomaly detection, and diagnostic attribution.
- Participate in optimization of merchandise operations, such as seasonal and trend analysis, supply and demand analysis, new product and product growth analysis, and improving alignment of products and associated traffic.
- Participate in optimization of marketing strategies and Return on Investment (ROI) of sellers and influencers in TikTok e-commerce live streaming, short video, and ShopTab.
- Analyze and conduct feature engineering for massive data such as customer profiling, e-commerce transactions, relationships between products, business opportunities, and deploy model pipeline.
- Use techniques like representation learning, graph modeling, causal inference, and time series forecasting to assist merchants and influencers in problem-solving and discovering growth opportunities.
Required Skills and Qualifications
A bachelor's degree is required, preferably in computer science, statistics, or data mining. Experience with feature engineering from massive raw data, such as customer/shop/influencer profiling and e-commerce transactions, is essential. Solid understanding and hands-on experience with data structures, algorithms, machine learning models, and proficient coding skills using Python, Spark, Tensorflow/PyTorch, and other deep learning tools are required. Experience in search and recommendation systems, particularly in AIGC field, is a plus.
$145,000 per year.
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