Data Analytics Manager — Lead Strategy & Dashboards

Randstad Hong Kong Limited

Hong Kong Island

On-site

HKD 900,000 - 1,200,000

Full time

3 days ago
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Benefits offered by this job

Competitive base salary
Healthcare coverage
Flexible working schedules
Corporate discounts

Job summary

Randstad Hong Kong Limited is seeking a Business Analytics Manager to lead a analytics team and translate data into strategic actions. You will bridge data engineering with business leaders and own the data roadmap across Sales, Finance, and Marketing.

You will build self-service dashboards, establish governance, and drive forecasting, cohorts, and conversion insights. A data-driven culture awaits in a dynamic organisation.

Qualifications

  • 7+ years of progressive data analytics or BI experience.
  • 2+ years of direct people leadership or programme management.
  • Advanced SQL with CTEs, joins, window functions and optimisation.
  • Expert-level proficiency in Power BI, Tableau or Looker.
  • Strong data modelling, metric governance and KPI design.
  • Excellent communication with executive stakeholders.
  • Experience in e-commerce or consumer goods preferred.
  • Python for statistical modelling is a bonus.
  • Familiarity with experimentation (A/B testing) and marketing attribution.
  • Experience integrating data from CRMs and ERP systems.

Responsibilities

  • Define and drive the overarching data roadmap across divisions.
  • Design and oversee self-service executive dashboards.
  • Establish data governance, metric definitions and data quality.
  • Lead diagnostic projects: cohorts, forecasting, funnels, efficiency.
  • Oversee data development lifecycle from scoping to deployment.

Skills

Advanced SQL
Data modelling
KPI framework design
Executive communication
A/B testing familiarity
Python for statistics
CRM/ERP data integration

Tools

Power BI
Tableau
Looker

Job description

Randstad Hong Kong Limited is seeking a Business Analytics Manager to lead a analytics team and translate data into strategic actions. You will bridge data engineering with business leaders and own the data roadmap across Sales, Finance, and Marketing.

You will build self-service dashboards, establish governance, and drive forecasting, cohorts, and conversion insights. A data-driven culture awaits in a dynamic organisation.

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