Senior Data Analyst - Search & Recommendation & Ads & Content

Shopee; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Shopee Singapore is seeking a data analyst to design indicators systems, define key metrics, and build automated dashboards and analytical frameworks for our AI-powered Search, Recommendations, Ads and Content teams.

You will monitor data fluctuations, conduct deep-dive analyses, evaluate A/B tests, and provide data-driven insights to product managers and algorithms teams to improve features and models across ecommerce, video and live-streaming platforms.

Qualifications

• Bachelor’s degree in a quantitative field is required.
• 3+ years of work experience in data analysis or business analysis.
• Strong statistical background and familiarity with A/B testing.
• Experience in dashboards and analyses with large datasets from multiple sources.

Responsibilities

• Design indicators system: define key metrics and build automated dashboards and analytical frameworks.
• Analyze data fluctuations: monitor metrics and perform deep-dive analyses to identify drivers.
• Make data-driven decisions: conduct data-driven analyses for product and performance.
• A/B test evaluation: design evaluation strategy and indicator matrix for experiments.
• Data management: provide recommendations for e-commerce, ads and content data improvements.
• Provide insights to PM and Algo teams to improve features and models.

Skills

Data analysis

A/B testing

Time series analysis

Data visualization

SQL

Education

Bachelor's degree in quantitative field

Tools

Google Data Studio

Lumos

Druid

Hive

Hadoop

MapReduce

Job description

About The Team

Shopee Search & Recommendation & Ads & Content team provides AI-based online services to our users. Behind the scenes, these services are powered by petabytes of data, numerous state-of-the-art machine learning algorithms, sophisticated and scalable service architectures, and creative business strategies. We create intelligence from massive seemingly nebulous data and turn innovative ideas into tangible products. We keep on breaking our systems’ limits to keep pace with Shopee's fast-growing business. We aim to deliver a “smart” shopping experience on users’ next click.

About The Team

Shopee Search & Recommendation & Ads & Content team provides AI-based online services to our users. Behind the scenes, these services are powered by petabytes of data, numerous state-of-the-art machine learning algorithms, sophisticated and scalable service architectures, and creative business strategies. We create intelligence from massive seemingly nebulous data and turn innovative ideas into tangible products. We keep on breaking our systems’ limits to keep pace with Shopee's fast-growing business. We aim to deliver a “smart” shopping experience on users’ next click.

Job Description

• Design Indicators System: Define key metrics and build automated dashboards and analytical frameworks


• Analyze Data Fluctuations: Monitor key metrics and conduct deep-dive analysis on specific issues to identify underlying drivers


• Make Data-driven Decisions: Data-driven decision-making by identifying, structuring, and executing product and performance analyses


• A/B Test Evaluation: Design A/B experiment evaluation strategy and indicator matrix to evaluate the effect of the experiments


• Data Management: Provide recommendations for e-commerce, advertisement, content(video, live stream, etc) for data improvement, quality(accuracy), and efficiency of data


• Analyze business and algorithm influence and give insights to the PM team & Algo team on how to improve features, models, etc.

Requirements

• Bachelor’s degree in Computer Science, Math, Economics, Statistics, or other quantitative fields


• At least 3 years of work experience in data analysis/business analysis


• Experience with common statistical methods and applications (A/B testing evaluation, time series analysis), familiarity with common data analysis methodologies


• Experience using data access tools, building dashboards and analyses with large datasets and multiple data sources


• Familiarity with web analytics tools and data visualisation (e.g. Google Data Studio/Lumos/Druid)


• Experience working with very large data sets and distributed computing (SQL/Hive/Hadoop/MapReduce)


• Self-motivated, detail-oriented, fast learner and highly organised


• Experience in the e-commerce or video and live-streaming platforms is preferred