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Senior Data Analyst

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Onsite

Senior Data Analyst

INFORM GROUP INC.

Senior Data Analyst

Skills

Data Analysis

2 months ago

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Important information


Contract type:

Permanent

Salary:

₱720,000 – ₱960,000 / year

Location:

Metro Manila, Philippines

Work mode:

Onsite

Published on:

2 September 2026

What they need


Salary: 60,000 - 80,000

Full time, permanent employment

Hours of work: 9:00 AM – 5:00 PM Sydney time

Work Week: Monday to Friday

Work location: Work from Home

Device: BYOD

Upon Regularization:

Leave entitlements (15 Annual, 10 Sick, Public Holidays)

Health Insurance (Standard HMO 1 Principal, 1 Dependent)

Hey You employment is powered by Enable Our Team from Inform Group Inc. in the Philippines.

Data analysis and commercial partnering

  • Craft and execute data-driven solutions to optimise vendor and customer analysis
  • Run experiments to re-engage customers, and monitor and rescue merchants’ at-risk of churning
  • Work with the commercial and account management teams to identify key geographical areas for growth opportunities
  • Assist marketing in reviewing the performance of campaigns, providing insights & recommendations for future marketing initiatives
  • Analysing, interpreting, and connecting complex data sets to identify trends, patterns and actionable insights
  • Communicating findings and insights effectively to both technical and non-technical stakeholders, ensuring data-driven decisions are well-understood.

Technical Solutions

  • Maintain and enhance the technical solutions available within Hey You (including Superset)
  • Developing data models, algorithms, and statistical methods to solve a variety of business challenges.
  • Continuously seeking opportunities to improve processes, tools, and methodologies that make our environment or solutions more efficient.

People & Leadership

  • Drive a high-performance culture by setting standards around behaviour, managing productivity and attitude and leading by example when it comes to promoting Hey You’s values & culture.
  • Provide support and leadership to the business to empower them to deliver to agreed plans, outcomes and targets.
  • Prioritise and manage data workloads to align with business objectives

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