Marketing Analytics Manager

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This job is all about using data to help shape marketing strategies and boost customer engagement. You might like this job because you’ll analyze trends, create reports, and collaborate with teams to drive success and improve store performance.

Undisclosed

Petaling Jaya, Selangor

Job Description

Job Summary:

To drive data-informed decision-making across the Marketing and cross-functional teams by transforming customer, category, store, and campaign data into actionable insights. This role supports the company’s growth to optimize portfolio performance, strengthen customer engagement, and improve campaign effectiveness, and guide strategic planning through accurate analysis, performance tracking, and insight-driven recommendations.

  1. Monitor and report on store performance by key metrics (sales, traffic, basket size), along with region-, cluster-, and format-specific insights; and drill by BU/category.
  2. Analyze category-level performance by key metrics (sales, margin, velocity, and customer buying patterns) to identify performing and underperforming category/segment.
  3. Segment and analyze customers by activity levels (active, inactive) and behavioural patterns, comparing member vs. non-member performance to guide marketing strategy.
  4. Measure the impact of campaigns on traffic uplift, member engagement, and sales contribution.
  5. Collaborate with cross-functional stakeholders to interpret insights, validate findings, and co-drive action plans that improve store performance, category growth, customer engagement, and campaign effectiveness.
  6. Produce and deliver timely, accurate reports and insights to Marketing, and cross-functional teams (Operations, Business Units, Commercials), and Management with clear narratives with actionable recommendations to support data-driven decision-making and guide long-term planning.

Job Requirements

  1. Bachelor’s degree in Marketing, Business Analytics, Statistics, Economics, or a related field.
  2. Minimum 3-5 years of experience with retail data and analysis (POS, loyalty, category mix, campaign performance).
  3. Strong command in Excel and capable of designing automated reports.
  4. Experience working with large datasets, CRM systems, and BI tools (PowerBI, Tableau, etc).
  5. Strong presentation skills with clear narratives, insights and recommendations.
  6. SQL knowledge is a strong plus.

Skills

Data Analysis
Data Visualization
Category Analytics
Operational Performance Management
Power BI
Statistical Modeling
Marketing Analysis

Additional Info

Company Activity

Last active - few minutes ago

Career Level

Manager / Team Lead

Job Specialisation


Company Profile

SEGI VALUE HOLDINGS SDN BHD-logo-image

SEGI VALUE HOLDINGS SDN BHD