Marketing Analytics Manager

Segi Fresh; Selangor; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading retail company in Malaysia is looking for a Data Analyst to drive data-informed decision-making across Marketing and other teams. The ideal candidate will analyze customer, category, and campaign data to generate actionable insights that enhance portfolio performance and customer engagement. Candidates should possess a Bachelor’s degree in a related field, with 3–5 years of retail data analysis experience, strong Excel skills, and proficiency in BI tools. The role offers the opportunity to work in a dynamic environment and contribute to strategic planning.

Qualifications

• Minimum 3–5 years of experience with retail data and analysis.
• Experience working with large datasets, CRM systems, and BI tools.
• Understanding of MarTech platforms and campaign tracking.

Responsibilities

• Monitor and report on store metrics to support operations.
• Analyze category performance and collaborate with teams.
• Segment and analyze customers by activity levels and patterns.

Skills

Strong command in Excel

Data analysis and visualization skills

Strong analytical thinking

Effective cross-functional communication

Problem-solving ability

Education

Bachelor’s degree in Marketing, Business Analytics, Statistics, Economics, or a related field

Tools

PowerBI

Tableau

SQL

Job description

Overview

To drive data‑informed decision‑making across Marketing and cross‑functional teams by transforming customer, category, store, and campaign data into actionable insights. This role supports growth by optimizing portfolio performance, strengthening customer engagement, boosting campaign effectiveness, and guiding strategic planning through accurate analysis, performance tracking, and insight‑driven recommendations.

Key Responsibilities

• Store Performance Analysis – monitor and report on store metrics (sales, traffic, basket size), provide region/cluster/format insights, conduct regular periodic analysis (WoW, MoM, YoY), identify root causes, and support operations with clustering and localized promotional opportunities.
• Category Insights & Optimization – analyze category performance (sales, margin, velocity, buying patterns), evaluate across regions, formats, and segments, support assortment optimization, and collaborate with Business Units and Commercial teams on pricing, promotion, and space allocation insights.
• Customer & Membership Insights – segment and analyze customers by activity levels and behavioural patterns, compare member vs. non‑member performance, identify high‑value members, and assess acquisition, activation, retention, and reactivation funnels.
• Campaign Planning, Execution & Evaluations – measure campaign impact on traffic, engagement, and sales contribution, support marketing strategy for targeting and creative directions, conduct pre‑ and post‑mortem analysis, and deliver recommendations for continuous improvement.
• Reporting & Documentation – produce timely, accurate reports and insights with clear narratives and actionable recommendations, maintain documentation such as data dictionaries and metric definitions, and ensure data consistency and automation capability.
• Data Automation & Pipeline – partner closely with IT and MarTech to build automated dashboards, enhance data pipelines, and improve automation capability.
• Cross‑Functional Collaboration – collaborate with stakeholders to interpret insights, validate findings, and co‑drive action plans that improve store performance, category growth, customer engagement, and campaign effectiveness.

Required Qualifications

• Bachelor’s degree in Marketing, Business Analytics, Statistics, Economics, or a related field.
• Minimum 3–5 years of experience with retail data and analysis (POS, loyalty, category mix, campaign performance).
• Strong command in Excel and capability to design automated reports.
• Experience working with large datasets, CRM systems, and BI tools (PowerBI, Tableau, etc).
• Understanding of MarTech platforms and campaign tracking (added advantage).
• Strong presentation skills with clear narratives, insights and recommendations.
• Data analysis and visualization skills (Excel, PowerBI/Tableau, PowerPoint).
• SQL knowledge is a strong plus.
• Knowledge in statistical modeling (regression, clustering).
• Strong analytical thinking, problem‑solving ability, and attention to detail.
• Effective cross‑functional communication and teamwork mindset.
• Ability to work independently, take initiative, demonstrate integrity and adaptability in a fast‑paced retail environment.

Location

Currently office based Kelana Business Centre, Petaling Jaya (near to Glenmarie LRT station). Moving to Wisma Segi office at Kampung Melayu Subang, Shah Alam Q3‑Q4 2026.