Senior Business/Data Analytics Consultant

Tiger Analytics is an advanced analytics consulting firm trusted by Fortune 100 companies, enabling them to generate business value from data. Our consultants specialize in Data Science, Machine Learning, and AI, solving complex analytical problems at scale across industries like Pharma and Life Sciences.

The ideal candidate combines hands-on analytics expertise, stakeholder management, and team leadership, translating 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 align goals and deliverables
• Engage with senior client stakeholders (Director/VP level) to 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
• 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 and Supply Chain background with exposure to Demand Planning, Supply Planning, Shipping, and Inventory Management
• Demonstrated ability to engage and influence executive and VP-level stakeholders
• Strong project and team leadership skills, driving end-to-end delivery across global, cross-functional teams
• Strong foundation in statistical methods and machine learning, analyzing complex datasets and generating 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

Benefits

Significant 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.