Note: The job is a remote job and is open to candidates in USA. Dentsu is a global marketing and advertising agency, and they are seeking an experienced Lead Analyst, Analytics professional to join their dynamic team. This role involves hands-on use of machine learning algorithms and Generative AI to drive data-driven decision-making within the retail/CPG domain, while also collaborating with cross-functional teams to develop scalable analytical solutions.

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

Skills

• 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

Benefits

• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.

Company Overview