Associate Manager - Performance Operations

zalora; Malaysia; On-site; MYR 120,000 - 180,000; Full time

Job summary

ZALORA in Kuala Lumpur seeks an analytical and process-oriented Data Analytics Lead to oversee collection, analysis, and reporting of fulfillment data across MY, PH & ID. You will guide a team, ensure data quality, and drive data-driven decisions to improve operational efficiency regionally.

The role requires strong BI, Looker, SQL skills and a passion for continuous process improvement within a fast-paced e-commerce setting.

Qualifications

• Bachelor's degree in BI, Data Science, IS, CS or related field.
• 3–5 years’ experience in data analytics or BI.
• 1–2 years’ experience in process improvement or PM in ecommerce/logistics.

Responsibilities

• Partner with Data Science to resolve data quality and define KPI metrics.
• Define business problems and propose data-driven solutions.
• Maintain channels for stakeholder data requests and dashboards.
• Review requests, assess scope, set priorities, and communicate timelines.
• Coach team members in technical skills and business knowledge.
• Lead data-driven culture and automate metrics in Looker.

Skills

Looker

SQL

Excel

Python

R

BI tools

Interpersonal skills

Education

Bachelor’s degree in Analytics

Tools

Looker

SQL tooling

Excel

Python

R

Warehouse Management Systems

Job description

ZALORA is looking for an analytical and process-oriented person with an interest in fashion and operation management to join our team in Kuala Lumpur. This role will be responsible for leading and overseeing the collection, analysis, and reporting of fulfillment-related data to support operational efficiency, performance improvements, and strategic decision-making regionally in MY, PH & ID. This role requires expertise in data analytics, business intelligence tools, and a deep understanding of supply chain and fulfillment operations.

Responsibilities :

• Partner with the Data Science team to resolve data‑quality issues and gaps; align on metric/KPI definitions and measurement methodologies; perform user acceptance testing (UAT) for newly deployed data sources and tables.
• Define and scope business problems and propose sustainable, data‑driven solutions.
• Maintain the current channels for stakeholder requests (e.g., data‑accuracy concerns, deep‑dive analyses to support process/system improvements, automated dashboards to monitor operational health).
• Review the data requests; assess scope and impact, set urgency and priority levels, allocate resources, and manage stakeholder expectations with clear timelines and updates.
• Coach and mentor team members in both technical skills and business domain knowledge.
• Lead the team to promote a data‑driven, problem‑solving mindset across the organisation; automate key metrics and insights in Looker.
• Support data and analytics requirements across countries; understand the standard operating procedures (SOPs) for each venture and warehouse process.
• Contribute to and maintain the knowledge base; document findings and post‑implementation timelines/chronologies.
• Foster a culture of continuous learning and development, ensuring that the team stays up-to-date with the latest trends and technologies in data analytics and business intelligence.

Requirements :

• Bachelor’s degree in Business Intelligence and Analytics, Data Science, Information Systems, Computer Science or related field.
• 3–5 years’ experience in data analytics, business intelligence, or a related field.
• 1–2 years’ experience in process improvement or project management within E‑commerce, manufacturing, warehousing, or logistics (plus points).
• Advanced skills in Looker and SQL, and/or other Business Intelligence packages. Very good knowledge of Microsoft Excel is a must.
• Excellent logical thinking and problem structuring, comfortable to use flow charts and other workflow mapping tools to express connections between activities and processes
• Comfortable to work with numbers and interest to gain insights from large datasets
• Strong interpersonal and communication skills
• Have passion in operations and continuous process improvement
• Eager to learn, can-do attitude, comfortable to work in a multicultural, fast paced, dynamic environment
• Excellent spoken and written English

Preferred Skills:

• Experience with Python, R, or other programming languages for data analysis.
• Familiarity with Warehouse Management Systems.
• Strong understanding of predictive analytics and machine learning techniques for forecasting fulfillment needs and optimizing operations.

The Zalora Story

ZALORA is Asia’s leading online fashion, beauty and lifestyle destination, part of Global Fashion Group. As one of the region’s pioneer large scale ecommerce platforms, ZALORA has established a strong presence throughout the region, particularly in Singapore, Indonesia, Malaysia, Brunei, the Philippines, Hong Kong, and in Taiwan, enjoying over 50 million visits per month.

ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means, unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals. Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement fees or referral fees in the event that such candidate is eventually engaged or employed by ZALORA or Global Fashion Group.