Job Description & How to Apply Below
OWNDAYS is a leading eyewear brand from Japan with more than 200 shops in Japan, Singapore, Taiwan, Thailand, Cambodia, Philippines, Australia, Malaysia, Vietnam and Netherlands. The company sells over 2,000,000 pairs of glasses a year. It is one of the few companies in the world that has implemented the SPA (Specialty store retailer of Private label Apparel) system into the optical business where the entire process from design and manufacturing through to inventory management and retail is managed from within.
Role Objective (This is an onsite role in Singapore)
Enable data-driven decision-making across OWNDAYS’ D2C and omnichannel business by owning analytics, dashboards, and simulation models across growth, retail operations, merchandising, supply chain, and finance. This is a hands-on individual contributor role with direct exposure to regional leadership.
Key Responsibilities
1. Data & BI Foundation (APAC Scale)
Design, build, and maintain scalable data models and pipelines across e-commerce, retail stores, marketing, supply chain, and finance.
Develop analytics-ready data marts to support self-serve reporting and advanced analysis.
Ensure data accuracy, consistency, and governance across systems including POS, ERP, CRM, digital marketing platforms, and e-commerce.
Partner with regional tech teams and vendors to automate data flows and improve data reliability across APAC markets.
2. Dashboards & Performance Reporting
Build and maintain automated dashboards using Power BI, Tableau, Looker, or similar tools.
Own business-critical dashboards covering:
Revenue, GM, margin mix, unit economics
Store traffic, conversion, and productivity
Digital funnel performance (traffic → conversion → repeat)
Marketing ROI, channel attribution, CAC & LTV
Inventory turns, sell-through, aging, and availability
Enable drill-downs by country, store, channel, campaign, SKU, and customer segment.
3. Business Analytics & Insight Generation
Translate ambiguous business questions into structured analytical frameworks.
Conduct advanced analyses including:
Funnel and cohort analysis (online + offline)
Contribution margin and unit economics analysis
Store, city, and country-level benchmarking
Promotion, pricing, and discount effectiveness
Identify root causes behind growth, margin, or inventory gaps and recommend clear actions.
Work closely with Growth, Retail Ops, Merchandising, and Supply Chain teams to improve performance drivers.
4. Simulation, Forecasting & Experimentation
Build financial and operational models to simulate strategic and tactical scenarios.
Perform:
Scenario and sensitivity analysis
Demand forecasting to support inventory and supply planning
Price elasticity and promotion impact modeling
Campaign uplift and ROI simulations
Design and analyze A/B tests and experiments (online and offline where applicable).
Quantify upside/downside before rolling out major initiatives such as pricing changes, promotions, or store network expansion.
5. Planning & Leadership Decision Support
Support annual planning, quarterly forecasts, and regional target setting with analytical projections.
Provide insights for:
APAC market expansion and store rollout decisions
Product launches and assortment planning
Margin improvement and cost optimization initiatives
Marketing budget allocation across online and offline channels
Create leadership-ready presentations with crisp insights and clear recommendations.
Required
Skills & Qualifications
Technical Skills
Advanced SQL proficiency.
Strong hands-on experience with Python or R for analytics and modeling.
Advanced Excel skills for financial and scenario modeling.
Experience with BI tools (Power BI / Tableau / Looker).
Solid understanding of data modeling, ETL concepts, and data warehouse structures.
Exposure to statistical modeling, forecasting, and experimentation techniques.
Business & Analytical Capabilities
Strong understanding of D2C, retail, and omnichannel metrics.
Ability to convert data into clear commercial actions.
Experience building models for pricing, GM optimization, marketing ROI, and expansion scenarios.
Structured problem-solving mindset with strong analytical rigor.
Experience Requirements
4–6 years of experience in analytics, BI, strategy, or consulting roles.
Prior experience in D2C, retail, consumer brands, or APAC multi-country businesses preferred.
Comfortable working with senior stakeholders across functions and geographies.
Key Competencies
Strong analytical rigor with a commercial mindset
High ownership and accountability
Comfortable operating in ambiguity and fast-paced environments
Clear communicator with strong storytelling skills
Detail-oriented but outcome-focused
Success Metrics
Improved data accuracy, reliability, and reporting automation
Reduced manual reporting effort across regional teams
Measurable ROI improvement from analytics-led initiatives
Better quality decisions driven by simulation and forecasting
Leadership confidence in insights and recommendations
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