Data Analytics Assistant Manager (E-commerce)

Salary: $6,500 – $8,000 per month

• Reputable organization

• Good career exposure

• Positive working environment

As a Data Analytics Assistant Manager (E-commerce), you will be responsible for the following duties:

• Design and maintain regional dashboards, scorecards and reporting frameworks across Ecommerce, CRM, customer engagement and paid media, ensuring consistent KPI definitions and measurement standards across markets.

• Automate recurring reports and improve the accessibility, accuracy and usability of performance data to support data-driven decision-making.

• Translate business objectives into measurable KPIs, reporting requirements and success metrics, driving effective adoption of dashboards across teams.

• Analyse Ecommerce performance, including traffic, conversion, basket behaviour, revenue and funnel drop-offs, to identify performance drivers and optimisation opportunities.

• Evaluate customer lifecycle performance across acquisition, engagement, retention, reactivation and churn through cohort, segmentation, purchase frequency, customer lifetime value and behavioural analysis.

• Support CRM, Marketing and Ecommerce teams in identifying priority customer segments and opportunities for cross-sell, upsell, repeat purchase and conversion rate optimisation (CRO), including test analysis and statistical validation.

• Support Customer Data Platform (CDP) implementation by defining business requirements, customer attributes, event tracking, data taxonomy and analytical use cases.

• Collaborate with IT, development partners and business stakeholders to address data gaps, maintain data quality, establish governance standards and ensure data accuracy for reporting and analysis.

• Partner with Group and country teams to develop reusable analytical templates, support strategic initiatives and evaluate business performance through defined baselines, success criteria and post-launch impact assessments.

• Translate analytical findings into actionable business recommendations and present insights clearly to technical and non-technical stakeholders, contributing to advanced analytics such as churn modelling, propensity scoring and customer lifetime value forecasting.

Requirements:

• Degree in Statistics, Data Science, Computer Science, Economics, or a related discipline.

• Minimum 5 years of experience in a data analyst or business intelligence role, in eCommerce.

• Experience with Power BI/Big query, Tableau or Looker

• Strong analytical rigour and business acumen, with the ability to interpret data, translate findings into actionable business insights, and clearly communicate their impact on business performance

To apply, simply click on the “apply” button in the job advertisement or alternatively, you can send in your resume via email: Apply@ALLIEDSEARCH.COM.SG

We regret to inform that only shortlisted candidates will be notified.

ALLIED SEARCH PTE. LTD.
EA LICENSE : 19C9777