Customer Data Analyst

CUSTOMER DATA ANALYST

Work for our global clients and immerse in our rich and diverse company culture where you can thrive, grow and just be aweSOme Apply now and discover the Satellite Office Candidate Experience – recognized as one of BEST among BPO companies worldwide.

WHAT IS A/AN CUSTOMER DATA ANALYST?

• Customer Insights & Analytics – Analyse and interpret customer data to deliver actionable insights that drive informed business decisions.
• Reporting & Visualisation – Build and monitor dashboards, track KPIs, and provide both BAU and ad-hoc analytics with clear recommendations.
• CRM Reporting & Distribution – Create, populate, and deliver CRM reports with accuracy, timeliness, and relevance for business stakeholders.
• Customer Segmentation & Data Strategy – Develop and deploy customer segments across CDP and Emarsys, enabling audience activation across Meta, Google, Criteo, and other external channels.
• Data Governance & Quality – Maintain CRM data integrity, accuracy, and hygiene while ensuring compliance with Australian data and marketing standards.
• Loyalty & CRM Technology Management – Configure, manage, and support key platforms including CDP, Yotpo, Emarsys, and Experian.
• Technical Support & Issue Resolution – Provide expert troubleshooting, align business needs with technical requirements, and collaborate with developers and engineers to drive process improvements.

WHAT WILL BE YOUR MAIN RESPONSIBILITIES?

A. Customer Data Analysis

• Analyse customer data to find patterns, trends, and insights.
• Use visualisation tools to present findings clearly.
• Extract and process data from multiple sources.
• Provide data-driven recommendations to solve business problems.
• Insights consistently lead to improved campaign or business outcomes.

B. Reporting

• Build and automate dashboards and reports across all brands.
• Ensure CRM data and reporting accuracy.
• Track and communicate campaign and loyalty results.
• Provide insights and recommendations to marketing and executives.
• Support business with reporting solutions and improve data literacy.

C. Data strategy

• Assist in the building and improvement of customer segments to advance lifecycle and promotional programs.
• Use insights and modelling to assist with customer segmentation improvements, opportunities and testing to increase sales, ATV, engagement, and LTV.
• Help set up retargeting and personalisation opportunities across CRM and Loyalty.
• Use predictive modelling to optimise campaigns.

D. Data governance

• Lead and manage best practice processes to ensure capturing of data is clean and discoverable.
• Monitor and cleanse data by identifying and removing errors or corrupted records, while implementing fixes to prevent recurrence.
• Monitor and improve data quality and compliance with Australian standards.
• Working with internal engineers and management to identify process improvement, system modifications, and devise data governance strategies.
• Additional ad hoc duties as required.

WHAT ARE WE LOOKING FOR?

Preferred Experience:

• 3+ years' experience in CRM or Customer data analytic roles.
• Experience in retail/multi brand environment advantageous.
• Experienced in using reporting and analytical tools.
• Data mining experience.

Prerequisite Skills:

• Excellent analytical capabilities - the ability to identify trends, patterns and insights from data.
• Experience in data mining, modelling and visualisation
• Intermediate understanding of databases (e.g. SQL Server and SAP (Emarsys)).
• Understanding of reporting & data visualisation tools (e.g. PowerBI and Tableau
• Advanced Excel skills with strong mathematical & numeracy skills.
• Digital marketing analytics tools including Google Analytics, Google Tag Manager and Adobe Marketing Suite.
• Experience using CDP, ESP and Loyalty platforms to build audiences and extract insights.
• Strong attention to detail, problem solving and critical thinking skills.
• Strong understating of the customer lifecycle and customer attributes.
• Presentation skills – ability to easily communicate complex ideas in a simple manner.

Education/Qualifications/Memberships:

• Tertiary qualifications or a background in statistics, maths, economics, or data science

Job Type: Full-time

Pay: Php35, Php40,000.00 per month

Benefits:

• Paid training

Work Location: In person