Geo & IoT Analytics Leader — Build High-Impact Data Teams

Grab

Singapore

Vor Ort

SGD 180.000 - 300.000

Vollzeit

Vor 7 Tagen
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Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Term Life Insurance
Medical Insurance
GrabFlex benefits
Parental leave
Birthday leave
LASA volunteering leave
Grabber Assistance Programme
Flexible hours

Zusammenfassung

Grab is seeking a Senior Analytics Manager for Geo and IoT to lead a 5–7 person data science team and directly influence decision making through strategic insights. You will partner with Product, Business, Engineering, Design, and Data Science to translate data into actionable roadmaps and measurable impact.

Ideal candidates have 8+ years in data fields, 5+ years in leadership, and strong SQL/Python/R skills, with a proven ability to drive experiments and craft compelling data narratives for

Qualifikationen

  • 8+ years in data-related or quantitative fields, with D2C/B2C experience such as marketplaces or fulfilment
  • 5+ years of managerial experience leading and growing teams
  • Strong SQL/Python/R and data storytelling skills

Aufgaben

  • Build and mentor a high-performing data science team of 5–7 members
  • Present findings and recommendations to executive leadership
  • Collaborate with cross-functional teams to embed analytics into key business decisions

Kenntnisse

SQL
Python
R
Data storytelling
Experimentation
Leadership
Strategic thinking
Data visualization

Ausbildung

Bachelor's degree in a quantitative field

Tools

Looker
Tableau

Jobbeschreibung

Grab is seeking a Senior Analytics Manager for Geo and IoT to lead a 5–7 person data science team and directly influence decision making through strategic insights. You will partner with Product, Business, Engineering, Design, and Data Science to translate data into actionable roadmaps and measurable impact.

Ideal candidates have 8+ years in data fields, 5+ years in leadership, and strong SQL/Python/R skills, with a proven ability to drive experiments and craft compelling data narratives for

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