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.

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.

Lead Analyst, Analytics

Key skills