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We are seeking an experienced Lead Analyst, Analytics professional to join our dynamic team. This role will involve hands-on use of machine learning algorithms and Generative AI to drive data-driven decision-making within the retail/CPG domain.

The ideal candidate will possess a strong quantitative background, and the ability to translate business problems into scalable analytical solutions. This individual will work closely with cross-functional and client teams.

Key Responsibilities

• Develop, implement, and maintain advanced analytical models using machine learning algorithms and statistical techniques.

• Apply descriptive analytics to uncover trends, patterns, and insights from large and complex datasets, using Tableau dashboards and reports where necessary.

• Perform customer, product, and transaction-level analysis within retail/CPG datasets.

• Assist in the design and implementation of LLM-based embedding-powered solutions like summarization and classification.

• Develop and support simulation applications where required.

• Work directly with senior client stakeholders, collaborate with cross-functional teams, and contribute end-to-end on solution development.

• Write efficient SQL queries (Google BigQuery preferred) and build data transformation workflows in Python.

• Ensure data quality, harmonization, and consistency across analytical projects.

• Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance.

• Stay updated on industry trends in machine learning and AI and contribute to innovation within the team.

• Mentor junior team members and contribute to knowledge sharing initiatives.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field.

• 4–6 years of experience in advanced analytics, data science, machine learning, or a related field.

• Effective verbal and written communication skills with client-facing experience.

• Proficiency in SQL (Google BigQuery preferred) and Python.

• Experience with data visualization tools such as Tableau.

• Familiarity with Retail/CPG/Tech industry and experience working with product, transaction, and customer-level data.

• Strong data structuring, and analytical problem-solving skills with an inquisitive mindset.

• Self-driven, collaborative, and adaptable in a fast-paced environment.

What We Offer

• Opportunities for professional development and career growth.

• Exposure to advanced analytics and AI-driven transformation initiatives.

• A collaborative and innovative work environment.