Customer Data Analyst

4 weeks ago


Pasig, Philippines Satellite Office Full time

Overview

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What is a Customer Data Analyst?

Our awesome client, a leading footwear retailer based in Australia is looking for a Customer Data Analyst to be part of their team.

  • Customer Insights & Analytics – Analyse and interpret customer data to deliver actionable insights that drive informed business decisions.
  • Reporting & Visualization – 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 visualization 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.
  • 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 personalization opportunities across CRM and Loyalty.
  • Use predictive modelling to optimize 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?
  • 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.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Analyst
Industries
  • Outsourcing and Offshoring
  • Consulting
  • Retail Apparel and Fashion
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