Job Purpose:

With high ambitions to drive China Fashion retail operational excellence, building strong business acumen and performance-driven decision-making capabilities among retail leaders is essential.

The Retail Performance & Insights Assistant Manager strengthens the retail performance ecosystem through robust data management, business intelligence innovation, and meaningful performance insights. The role develops innovative AI-enabled BI solutions, practical analytical tools and insight support that help retail leaders (HOB/DHOB) improve efficiency in understanding business performance and planning for future, through accessible information and clear performance messages that support daily management and follow-up discussions.

Another key priority is to build up business capabilities of boutique teams to pilot their business more intentionally based on in depth KPI understanding to identify data driven insights & opportunities

Key Responsibilities:

Data Architecture & Business Intelligence Governance

• Own the maintenance, validation and continuous improvement of key retail performance datasets, including sales, traffic, client, product and boutique-level indicators, to ensure reliable and consistent reporting.
• Establish clear data checking routines and follow-up mechanisms to identify data gaps, inconsistencies or system issues in a timely manner.
• Collaborate with IT, Client, Merchandising, Finance, P&O and other related teams to align data definitions, governance standards and reporting logic across business functions.
• Recommend process improvements to reduce manual intervention, improve data sustainability and strengthen the efficiency of regular reporting preparation.

Advanced Business Analysis Solutions: BI Innovation & AI-enabled Tools

• Lead AI-enabled tools and methods to facilitate analysis, accelerate insight generation for both office and retail audience.
• Propose new reporting formats, content structure and analytical views in response to evolving business priorities and frontline needs.
• Support the design and enhancement of BI dashboards that improve visibility of boutique, client, product and retail KPI performance, enabling leaders to identify opportunities and risks more efficiently.
• Support HOBs and DHOBs in understanding performance trends and business drivers through BI tools, short guidance materials and ad hoc explanation when needed.

Retail business planning

• Contribute to key retail planning cycles, including but not limited to monthly target setting, yearly financial budgeting exercises, by preparing relevant template, assumptions and analytical inputs.
• Support monthly sales rolling forecast process and discussions, consolidating boutique assumptions, providing scenario simulations and forecasting insights.
• Develop forecasting and performance tracking tools that improve visibility of business trajectory, forecast accuracy and action follow-up at boutique or market level.

Retail Performance & Business Acumen Capabilities Building

• Prepare regular performance review materials, including competitor reports, Boutique ID performance, monthly business reviews and other management reports updates, with clear highlights on key trends and business implications.
• Support analysis across client, product and retail KPI, and connect key findings to potential business drivers such as traffic, conversion, client mix, product momentum or retail actions.
• Provide analytical support for diversified retail initiatives and projects, and to facilitate management and retail follow-up discussions. e.g FA performance review.
• Support Retail Performance manager in building Boutique teams business acumen & KPI piloting capabilities

Academic / Professional Qualifications

• University graduate, post graduate preferred.

Work Experience

• 7 years or above relevant experience in BI development, business analysis or related fields.
• Solid skills in Power BI, Excel and similar tools. Hands-on experience in data processing & management, dashboard development or reporting process improvement.
• Solid experience in business analytics, with ability to analyze KPIs across retail, client and product dimensions, identify key performance drivers and translate into clear business insights.
• Prior experience in retail, luxury, fashion, consumer goods or consulting environment is preferred.

Functional Competencies

• Excellent Skills in Power Bi, Excel and PowerPoint.
• Strong English writing and communication capability
• Good team player with excellent interpersonal and communication skill.
• Detail oriented, high sense of responsibility

What you can bring to the team

Required Competencies:

Self-driven ownership

• Proactive in taking responsibility, following through on tasks independently, and driving progress even when requirements are not fully defined.
• Able to manage regular deliverables with discipline, anticipate potential issues and proactively follow up to ensure smooth execution.

Resilient & Detail-Oriented Mindset:

• Able to ensure data accuracy, reporting consistency and careful follow-through.
• Sensitive to data quality and logical consistency, with the patience to validate details before translating numbers into business messages.
• Able to stay resilient and focused when handling repetitive data work, urgent requests or changes in business priorities.

Agility & Learning curiosity

• Curious to explore new tools, and able to adapt to changing business questions, reporting requirements and project timelines.
• Willing to ask questions, explore the reasons behind performance changes, and connect data findings with real boutique situations.
• Motivated to understand retail context, frontline needs and evolving business priorities beyond data preparation.

Collaborative communication

• Able to work effectively with Retail, IT, Client, Merchandising, Finance and other teams.
• Able to explain data findings or reporting logic in a simple and structured way, to support collaboration.
• Attentive to retail leaders’ practical needs and able to provide timely, reliable and user-friendly analytical support.

Key Interactions:

Internal

• HOR, HOB, DHOB and retail operation team.
• Fashion business stream: merchandising, client, strategic planning and WFJ retail team
• Corporate: IT, Finance, HR