Junior Commerce Data Analyst

About the role

Publicis Groupe's Publicis Commerce solution hub in Singapore is looking for a Junior Commerce Data Analyst. You will connect commerce data sources into the agency tool where commerce solutions, dashboards and measurement outputs are housed, ensuring data is accurate, usable and clearly explained for local markets. This supports campaign measurement, marketplace performance tracking and commerce decision-making across key retail media platforms, working closely with commerce, product, data and engineering teams.

Key responsibilities

• Support the setup, mapping and maintenance of commerce data feeds from marketplaces, content and campaign platforms, working with data and engineering teams.
• Produce and maintain performance dashboards, experiment tracking, product-feature reporting and usage reports.
• Support A/B test analysis, uplift measurement and pre/post campaign comparisons.
• Translate data into clear recommendations and prioritised next steps for product, growth and strategy teams.
• Collaborate with teams to operationalise metrics, validate data quality, document data definitions and enable reproducible analyses.
• Document methods, assumptions and results, and present findings to stakeholders in concise, non-technical terms.

Required profile

• At least 1 year of experience, or a recent graduate in statistics, economics, data science, business analytics, computer science, marketing analytics or a related field; prior internship or project work involving A/B testing, analytics or dashboarding is helpful.
• Curious, structured and detail-oriented, with an interest in commerce, data and AI-enabled solutions.
• Comfortable asking questions, checking data accuracy and turning numbers into simple, practical outputs.

Required skills

• Strong foundation in SQL for data querying.
• Basic understanding of data pipelines, APIs, data connectors or ETL concepts (hands-on expertise not required).
• Basic understanding of AI/ML concepts and model evaluation (exposure to predictive models or experimentation is a plus).
• Proficiency in data visualisation (Tableau, Looker, Power BI or similar) and ability to define clear KPIs.
• Helpful: exposure to Excel or Google Sheets, SQL databases, dashboarding tools, marketplace seller centres, retail media platforms, Google Analytics, platform exports or campaign reports; Python/R, experiment platforms, feature-flagging systems and commerce metrics such as GMV, ROAS and conversion rate are also a plus.