TikTok Shop by Tokopedia - Data Analyst Specialist, Semi-Consignment - Indonesia

TIKTOK PTE LTD (TIKTOK); Jakarta Utara; On-site; IDR 831.531.000 - 1.164.145.000; Full time

Job summary

A leading technology company is seeking a Data Analyst Specialist for its TikTok Shop in Jakarta Utara, Indonesia. The role involves extensive analysis of e-commerce data, including user behavior, product competitiveness, and business metrics. Ideal candidates will have a Bachelor's degree and at least 3 years of data analysis experience in e-commerce, alongside high-level fluency in English. The position offers a chance to contribute to strategic decision-making processes based on data insights.

Qualifications

• 3+ years of experience in data analysis in e-commerce platforms.
• High-level fluency in English.
• Experience with e-commerce business logic is a plus.

Responsibilities

• Analyze user behavior and product competitiveness.
• Design and manage core business metric systems.
• Clarify definitions and improve data analysis efficiency.
• Conduct AB tests with scientific design and sound logic.
• Prepare data and provide quantitative bases for decisions.

Skills

Data analysis

Statistical knowledge

Business insights

Fluency in English

Education

Bachelor's degree in related fields

Job description

TikTok Shop by Tokopedia - Data Analyst Specialist, Semi-Consignment - Indonesia

About the teamWe are the Indonesia TikTok Shop Semi-Consignment team, committed to helping small and medium-sized sellers without extensive e-commerce operation capabilities better succeed on TikTok Shop through operational actions such as managing subsidies, creator matchmaking, and ads.

Responsibilities

1. Based on business strategy, in response to business operation strategies and phased business objectives, be responsible for special project analysis work. By mining features in areas such as user behavior preferences, product competitiveness, content creator ecosystem, and industry trends from massive e-commerce business data, identify potential business problems or opportunities, output professional analysis reports, provide data science support and business insights for strategy implementation, and support the formulation and decision-making of business strategies.
2. Based on an understanding of business models and operating strategies, responsible for designing and building the core daily, weekly, and monthly business operating metric systems and monitoring products, collaborating with cross functions to promote the implementation of data products, and providing productized and systematic solutions for daily business operations and analysis.
3. Responsible for clarifying the definitions and calculation logic of key metrics, formulating data standards and specifications, and improving the efficiency of team data analysis and data quality.
4. Responsible for the design and management of AB tests, ensuring that the experimental design is scientifically sound and reasonable, meets business objectives and statistical significance requirements, promotes the implementation of AB test results, and outputs experimental conclusion reports.
5. Responsible for tasks such as data preparation and feature engineering, providing a quantitative basis for the platform's business decisions, and driving the achievement of the platform's business goals.

Qualifications

Minimum Qualifications:

• Bachelor's degree or above, with major in statistics, mathematics, computer science and technology, data science, economics, finance, marketing, and other related fields.
• 3 years minimum of work experience related to data analysis in e-commerce platforms or the industry, with preference given to those with special project experience in data science or business analysis.
• High-level fluency in English for listening, speaking, reading, and writing to be used as the primary language to communicate with the internal team, cross functions, and stakeholders from different countries.

Preferred Qualifications:

• Familiarity with e-commerce business logic (such as user operation, product operation, marketing activities, supply chain management, etc.) will be a plus.