Aditya Birla Fashion & Retail - Associate Director - Analytics

Key Responsibilities:
1. Analytics Strategy, Leadership & Stakeholder Alignment:
- Define and execute the analytics and data science roadmap aligned with TMRW's growth objectives
- Build and lead a high-performing team of data scientists, analysts, and data engineers
- Establish a strong data-driven culture across business functions
- Partner closely with brand founders, brand heads, and cross-functional business teams to align on priorities and solve complex business problems using data and advanced analytics
- Act as a strategic advisor to leadership by translating business problems into analytical frameworks and actionable insights
2. Customer & Growth Analytics:
- Drive customer segmentation, cohort analysis, and lifetime value (LTV) modeling
- Lead personalization and recommendation engine initiatives
- Optimize marketing spend through attribution modeling and ROI analysis
- Identify opportunities to improve acquisition, retention, and engagement
3. Business & Product Analytics:
- Partner with product and business teams to define key metrics and success frameworks
- Build dashboards and self-serve analytics tools for stakeholders
- Generate actionable insights to improve conversion, funnel efficiency, and user experience

4. Advanced Data Science & AI:
- Develop and deploy predictive models (churn, demand forecasting, pricing optimization)
- Lead experimentation frameworks (A/B testing, causal inference)
- Explore and implement AI/ML use cases across supply chain, merchandising, and marketing
5. Supply Chain & Operations Analytics:
- Optimize inventory planning, replenishment, and warehouse utilization
- Improve fulfillment efficiency and reduce operational costs
- Enable data-driven decision-making in logistics and last-mile delivery
6. Data Infrastructure & Governance:
- Work closely with engineering teams to build scalable data pipelines and architecture
- Ensure data quality, governance, and compliance
- Drive adoption of modern data tools and platforms
Qualifications & Experience:
- 8-12 years of experience in analytics/data science, with at least 5+ years in leadership roles
- Strong background in e-commerce, D2C, retail, or consumer tech preferred
Expertise in:
- SQL, Python/R
- Machine Learning & statistical modeling
- Experimentation & causal inference
- BI tools (e.g., Metabase, Tableau, Power BI, Looker)
- Proven track record of driving measurable business impact through analytics
- Experience managing cross-functional stakeholders and influencing senior leadership
Leadership & Soft Skills:
- Strategic thinker with strong business acumen
- Ability to translate complex data into simple, actionable insights
- Strong stakeholder management and communication skills
- Ability to influence and align diverse stakeholders (including founders and business heads) toward data-driven decision-making
- Bias for action and ownership mindset
What Success Looks Like:
- Data becomes a core decision-making driver across TMRW
- Strong alignment across brand founders, brand heads, and central teams on data-led problem solving
- Measurable improvement in key metrics: GMV, conversion, retention, and contribution margin
- Scalable data science solutions embedded into business workflows
- High-performing, motivated analytics team