Business Strategy Analyst

About Owndays (Parent Company Lenskart)

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

• 46 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