INFORM GROUP INC.
Senior Data Analyst
Skills
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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