Assistant Manager, Retail Analyst

adidas; Kuala Lumpur; On-site; MYR 102,000 - 144,000; Full time

Job summary

A leading sports brand in Kuala Lumpur is seeking a Retail Analyst to support the performance of retail and franchise operations. The successful candidate will transform data into actionable insights to enhance commercial outcomes. Responsibilities include building dashboards, analyzing store performance, and collaborating with various teams. A degree in Business or a related field, along with proficiency in Power BI and analytical skills, is required. The role welcomes fresh graduates eager to apply their skills.

Qualifications

• 0–4 years of experience in retail analytics or data analytics roles.
• Fresh graduates with strong Power BI skills are welcome.
• Understanding of retail KPIs is essential.

Responsibilities

• Build, enhance, and maintain retail dashboards using Power BI.
• Analyse store performance and retail KPIs.
• Collaborate with cross-functional teams on insights.

Skills

Proficiency in Power BI

Strong analytical thinking

Data cleaning and visualization

Attention to detail

Communication skills

Education

Degree in Business or related fields

Tools

Power BI

Excel

SQL

Job description

Purpose & Overall Relevance for the Organization

The Retail Analyst supports Retail and Franchise performance by transforming data into clear insights that improve commercial outcomes, operational efficiency, and product productivity.

The role is responsible for building dashboards, managing retail datasets, and analysing store results across sales, KPIs, stock health, and product performance, enabling teams to make faster and more informed decisions.

A strong understanding of fashion retail fundamentals, retail math, and buying/merchandising ratios is essential.

Key Responsibilities

Build, enhance, and maintain retail dashboards using Power BI covering sales, traffic, conversion, UPT, ATV, stock availability, sell-through, and shrinkage.

Ensure reporting accuracy and alignment across Retail, Merchandising, and Finance teams.

Prepare regular and ad-hoc reports for business reviews and leadership meetings.

Store & KPI Analysis

Analyse store performance and retail KPIs using retail formulas (e.g., sell-through %, WOS, SPH, conversion).

Evaluate product mix efficiency, category contribution, and merchandising ratios to support buying and allocation decisions.

Provide insights on staffing productivity, store format differences, and operational execution indicators.

Track product performance by category, gender, concept, and franchise level.

Support Merchandising with data on size curves, top sellers, ageing inventory, replenishment needs, and size depth analysis.

Analyse inline and seasonal performance to support OTB discussions and assortment planning inputs (without owning OTB).

Build data models and queries to support scalable reporting in Power BI.

Collaborate with IT/Data teams to improve data pipelines, database integrity, and automation.

Maintain clean and consistent datasets, ensuring reliable foundations for all reporting.

Cross-Functional Support & Collaboration

Partner with Retail Ops, Merchandising, VM, Finance, and eCommerce to align on insights and ensure data-driven execution.

Provide analytical support for retail initiatives, productivity improvement workstreams, and store performance deep dives.

Support leadership presentations and business narratives with clear, visual data storytelling.

Key Relationships

Internal: Retail Operations, Buying, Data & Analysis Teams, & Finance

Knowledge, Skills & Abilities

Technical Skills

Proficiency in Power BI (DAX, data modelling, dashboard design).

Advanced Excel; familiarity with SQL, Advanced Python / R + libraries & Vega / Vega‑Lite is advantageous.

Strong data cleaning, structuring, and visualization capability.

Retail Knowledge

Solid understanding of fashion retail fundamentals and retail math:

• Sell-through, WOS, productivity metrics
• Buying & merch ratios (gender/category splits, A/B/C classifications, size curves, price points)
• Conversion KPIs, operational KPIs, product lifecycle

Ability to interpret store data and translate it into commercial insights.

Core Competencies

High attention to detail and accuracy.

Strong analytical thinking and ability to simplify complex data.

Good communication and collaboration skills.

Organized; able to manage multiple datasets and reporting deadlines.

Curious, proactive, and eager to learn retail systems and processes.

Requisite Education & Experience / Minimum Qualifications

0–4 years of experience in retail analytics, commercial analysis, or data analytics roles.

Fresh graduates with strong Power BI skills and understanding of retail KPIs are welcome.

Degree in Business, Data Analytics, Economics, Statistics, Computer Science, or related fields.

Experience in fashion, sporting goods, or FMCG retail is an advantage.