Data Analyst: Product Ops & Growth Analytics

TikTok

Singapore

On-site

SGD 60,000 - 100,000

Full time

26 hours ago
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Job summary

TikTok is seeking a data analytics focused professional in Singapore to drive performance data analysis, build insightful dashboards, and collaborate with product strategy and operations teams to translate business needs into data solutions.

The role involves partnering with the investigation and product teams, analyzing growth factors, and establishing data-driven processes to monitor and improve operations. A strong statistical and SQL/tooling foundation is required.

Qualifications

  • Bachelor's degree or above in statistics, mathematics, or computer science.
  • At least 2 years of data analytics experience with statistical fundamentals.
  • Strong ability to learn and understand business lines and data relations.
  • Proficient in at least one database operation (Hive/MySQL) and analytics tools (Excel/Tableau).

Responsibilities

  • Responsible for data analytics on the performance side
  • Analyze factors affecting product improvement and growth and plan actions
  • Collaborate with investigation/product teams to align and implement actions
  • Translate business logic into a data analytics framework and dashboards
  • Decompose problems across business lines, product, and R&D to improve operations
  • Use data to quantify metrics and monitor business conditions

Skills

Data analytics
Statistical analysis
Business understanding
Quantitative analysis

Education

Bachelor's degree in statistics/mathematics/computer science

Tools

Hive
MySQL
Tableau
Excel

Job description

TikTok is seeking a data analytics focused professional in Singapore to drive performance data analysis, build insightful dashboards, and collaborate with product strategy and operations teams to translate business needs into data solutions.

The role involves partnering with the investigation and product teams, analyzing growth factors, and establishing data-driven processes to monitor and improve operations. A strong statistical and SQL/tooling foundation is required.

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