APAC Data and Analytics Specialist - Digital Intelligence

About the role

The APAC Data and Analytics Specialist supports the regional Digital Intelligence team in building scalable customer, campaign and marketing analytics across Asia Pacific. The role builds the technical foundation for a Single View of Customer, integrates and transforms data from enterprise and marketing platforms, automates recurring analytical processes and enables reusable Power BI reporting and data models.

Key responsibilities

• Translate customer and marketing requirements into scalable data models, datasets and analytical solutions for the APAC Single View of Customer
• Integrate customer, shipment, revenue, product usage, segmentation and marketing engagement data into reusable customer-level structures
• Support retention and analysis of customer history over time, even when current monthly source files no longer show changes
• Partner with Customer and Campaign Intelligence stakeholders on customer lifecycle, campaign and KPI definitions in analytical models and reporting
• Extract, combine, transform and validate data from data warehouses, CRM/marketing platforms and other sources using Power Query and SQL
• Develop repeatable ETL and data preparation workflows, and maintain reusable Power BI semantic models, DAX measures and reports
• Improve data quality, refresh reliability, model performance and documentation, and support migration away from Microsoft Access and spreadsheets
• Use Python where appropriate, and support advanced analytics such as clustering, propensity analysis, at-risk identification, experimentation and recommendation analytics
• Provide technical guidance and reusable components to other Digital Intelligence team members, and partner with regional, country, corporate, IT and vendor stakeholders

Required profile

• Bachelor's degree in Business Analytics, Data Analytics, Marketing, Data Science, Information Systems, Computer Science, Statistics, Engineering or a related discipline
• 2-5 years of experience in data analytics, business intelligence, data engineering, marketing analytics or a related function; strong hands-on project experience is also considered
• Strong SQL skills with relational databases, data warehouses or large transactional datasets
• Sound understanding of data modeling, ETL, data validation and combining data sources at different levels of detail
• Ability to turn business questions into practical data and BI solutions, communicate technical insights to business stakeholders, and manage multiple priorities in a fast-paced, matrixed, regional environment

Required skills

• Power BI and Power Query, including data modeling and dashboard/report development (portfolio or dashboard samples highly encouraged)
• SQL
• Python for data manipulation, automation or analytics (strongly preferred)
• Familiarity with DAX, CRM/marketing data, Oracle, historical/snapshot data or campaign measurement is an advantage

Employee type: Permanent.