The ideal candidate will bring a blend of hands-on analytics expertise, stakeholder management, and team leadership experience, along with the ability to translate business challenges into scalable data solutions.
RESPONSIBILITIES:
- Lead and manage offshore teams delivering supply chain analytics and data migration initiatives
- Act as a bridge between business stakeholders and technical teams to ensure alignment on goals and deliverables
- Engage with senior client stakeholders (Director/VP level) to understand business context and define analytics solution approaches
- Break down complex problems into structured tasks across business analysis, data science, and engineering
- Guide and mentor teams of business analysts and data professionals to deliver high-impact solutions
- Architect and design scalable data analytics frameworks and solutions
- Apply advanced analytics techniques (Machine Learning, AI, Optimization, Operations Research) to solve business problems
- Develop and maintain predictive and prescriptive models in enterprise production environments
- Build and deploy simulation, optimization, and scenario planning tools for decision support
- Work with large datasets to extract, transform, and structure data using SQL and related tools
- Drive cross-functional collaboration to deliver innovative, data-driven solutions
- Ensure data quality, validation, and governance standards are maintained
- Translate complex analytical outputs into clear, actionable insights for business stakeholders
Requirements- 8-14 years of professional experience, with at least 5+ years in business/data analytics
- Mandatory experience in Retail or CPG domain
- Strong Ecommerce Merchandising Strategy , Supply Chain background with exposure to Demand Planning, Supply Planning, Shipping, and Inventory Management
- Demonstrated ability to effectively engage and influence executive and VP-level stakeholders
- Strong project and team leadership skills, with experience driving end-to-end delivery across global, cross-functional teams
- Strong foundation in statistical methods and machine learning, with the ability to analyze complex datasets and generate actionable insights
- Proven ability to structure ambiguous business problems into clear, data-driven analytical frameworks
- Strong hands-on expertise in Python and SQL
- Experience with data visualization tools such as Power BI
- Proficient in version control (Git), with exposure to big data technologies (PySpark, Hadoop ecosystem - HDFS, Hive) and cloud platforms such as Microsoft Azure is a plus.
BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
