Note: The job is a remote job and is open to candidates in USA. Dentsu is seeking an experienced Lead Analyst, Analytics professional to support data-driven decision-making in the retail/CPG domain. The role develops advanced analytics, machine learning, Generative AI, visualization, and data transformation solutions while collaborating with clients and cross-functional teams.
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
- FOR ANY APPLICANT TO BE CONSIDERED, THEY MUST LIVE IN THE EASTERN TIME ZONE
- 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
- Proficiency in SQL (Google BigQuery preferred) and Python
Benefits
- Opportunities for professional development and career growth.
- Exposure to advanced analytics and AI-driven transformation initiatives.
- A collaborative and innovative work environment.
- Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams.
- Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Those who live outside a commutable range may be designated as remote, depending on the role and business needs.
- 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
- Paid parental leave
Company Overview