Big Data Specialist

China Mobile International Limited; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Clear career growth

Job summary

China Mobile International Limited in Hong Kong seeks a data analytics professional to design indicator systems, monitor operations, and shape event tracking that drives key metrics across the business.

You will analyze data, conduct A/B testing, and collaborate with product, operations, and strategy teams. Proficiency in SQL and Python or R, plus knowledge of ML methods, is essential for delivering actionable insights and supporting strategic decisions.

Qualifications

• Bachelor's degree or above in Mathematics, Statistics, Computer Science, or related fields.
• 3+ years of internet data analysis experience, preferably in sports/entertainment domains.
• Fluent in SQL; proficient in Python or R; experience with ML algorithms and statistical models.

Responsibilities

• Indicator System Development: Build monitoring and indicator systems and analyze data fluctuations to inform decisions.
• Business Diagnosis & Empowerment: Identify bottlenecks and growth opportunities; provide data support for decisions and growth.
• Traffic Distribution & Experiment Optimization: Master data platform traffic distribution and use A/B testing to optimize distribution and value.
• Membership & Pricing Strategy Analysis: Analyze membership logic and pricing to boost retention and revenue growth.
• Data Pipeline & Event Tracking Management: Map data pipelines and design event tracking to ensure data accuracy and completeness.

Skills

SQL

Python

R

Data analysis

Business acumen

Communication

Education

Bachelor's degree in mathematics/statistics/computer science

Job description

We are a technology enterprise focused on data analytics and business decision support, dedicated to empowering clients through a data-driven approach to enhance operational efficiency and core market competitiveness. Our mission is to deliver comprehensive, accurate business insights that help clients make sound decisions in a fast-changing market.

We promote an open, flat, and innovative corporate culture that respects the unique value of every team member and encourages bold ideas and knowledge sharing.

The Role

As the core data engine of our business, you will be deeply involved in business monitoring, traffic distribution, membership system optimization, and event tracking design. By building indicator systems and digging deep into data, you will provide high-value insights for operations, product, and business strategies, directly driving key business metrics growth.

Key Responsibilities

• Indicator System Development: Build comprehensive, accurate, and business-tailored monitoring and indicator systems; deeply analyze data fluctuations to deliver actionable decision-making recommendations.
• Business Diagnosis & Empowerment: Uncover potential bottlenecks and growth opportunities based on current business status and industry pain points; provide robust data support and strategic suggestions for operational decisions, product roadmap, and business growth.
• Traffic Distribution & Experiment Optimization: Master data platform traffic distribution mechanisms; combine user preference analysis with A/B testing to continuously optimize distribution efficiency and maximize platform traffic value.
• Membership & Pricing Strategy Analysis: Perform deep-dive analyses on platform membership logic and pricing structures; explore effective levers to boost user retention and Lifetime Value (LTV), driving both user base and total revenue growth.
• Data Pipeline & Event Tracking Management: Map out project data pipelines; design and optimize event tracking strategies to ensure data accuracy, completeness, and consistency, laying a solid data foundation for project reviews and strategic decisions.

Qualifications

• Education & Experience: Bachelor's degree or above, preferably in Mathematics, Statistics, Computer Science, or related fields; 3+ years of internet data analysis experience, with prior experience in sports, esports/sports events, pan-entertainment, or pan-health industries strongly preferred.
• Business Acumen: Highly sensitive to data with exceptional business understanding and quantitative modeling skills; able to quickly uncover business logic and subtle connections behind the data.
• Technical Stack: Fluent in SQL; proficient in scripting languages such as Python / R; skilled in standard machine learning algorithms and statistical models (e.g., regression, classification, clustering).
• Soft Skills: Strong logical thinking, cross-functional communication, and written expression skills; result-oriented with strong resilience under pressure.
• Competitive salary aligned with market standards (negotiable based on candidate experience and capability).
• Comprehensive benefit packages and clear career growth pathways.