Data Analytics Executive — Product Insights & Dashboards

BrioHR Pte Ltd

Malaysia

Hybrid

MYR 60,000 - 100,000

Full time

10 days ago

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Benefits offered by this job

Hybrid working arrangement
Flexible working hours
Leisure area with games and books
Casual dress code

Job summary

Setel is seeking an Executive, Data Analytics to partner with product and marketing teams to evolve and deliver core reporting interfaces and dashboards. The role focuses on tracking business metrics across the Setel ecosystem in Malaysia.

You will collaborate with analytics engineers to build self-service datasets and monitor dashboards for orders, payments, and loyalty metrics. A strong SQL and data visualization background is essential.

Qualifications

  • 2–4 years of experience in a data analytics role.
  • Ability to access a relational database using SQL with fluent ability to understand, write and modify SQL code.
  • Experience with product analytics tools e.g. Mixpanel, Amplitude, Google Analytics.

Responsibilities

  • Collaborate with senior stakeholders to understand KPIs and translate them into reporting specifications.
  • Design and maintain reporting interfaces and dashboards.
  • Monitor product/marketing KPIs and alert stakeholders to variations.
  • Support ad-hoc queries and data analysis for product portfolios.
  • Assist in training and onboarding for metrics and data tooling.
  • Develop core datasets with Analytics Engineers for self-service data.

Skills

SQL
Data analysis
Stakeholder collaboration
KPI reporting

Education

Bachelor's degree in related field

Tools

Mixpanel
Amplitude
Google Analytics
Power BI
Tableau
Google Data Studio
MicroStrategy

Job description

Setel is seeking an Executive, Data Analytics to partner with product and marketing teams to evolve and deliver core reporting interfaces and dashboards. The role focuses on tracking business metrics across the Setel ecosystem in Malaysia.

You will collaborate with analytics engineers to build self-service datasets and monitor dashboards for orders, payments, and loyalty metrics. A strong SQL and data visualization background is essential.

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