Lead Analytics Architect — Remote ML & Insights

Dentsu Aegis Network Ltd.; Northern (KY); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, vision, and dental insurance

Life insurance

Disability insurance

401k

Flexible paid time off

15 paid holidays per year

Paid sick and safe leave

Paid parental leave

Job summary

Dentsu is seeking a Lead Analyst, Analytics to drive data-driven decision making in the retail/CPG domain. The role combines hands-on ML work with Generative AI, SQL, Python, and collaboration with cross-functional teams. Applicants must live in the Eastern Time Zone.

The team uses BigQuery and Tableau to derive insights, build models, and deliver scalable solutions while mentoring junior staff and partnering with clients on end-to-end analytics projects.

Qualifications

• Bachelor’s or Master’s degree in Data Science, CS, Mathematics, Statistics, or related field.
• 4–6 years of experience in advanced analytics, data science, ML, or related field.
• Effective verbal and written communication with client-facing experience.
• Proficiency in SQL (BigQuery preferred) and Python.
• Experience with data visualization tools such as Tableau.

Responsibilities

• Develop, implement, and maintain advanced analytical models using ML and statistical techniques.
• Apply descriptive analytics to uncover trends using Tableau dashboards and reports.
• Perform customer, product, and transaction-level analysis in retail/CPG data.
• Assist in design and implementation of LLM-based embedding-powered solutions.
• Write efficient SQL queries and build data transformation workflows in Python.

Skills

Machine learning

SQL (BigQuery)

Python

Tableau

Analytical problem-solving

Stakeholder communication

Education

Bachelor's or Master's in Data Science/CS/Statistics

Tools

Google BigQuery

Tableau

Job description

Dentsu is seeking a Lead Analyst, Analytics to drive data-driven decision making in the retail/CPG domain. The role combines hands-on ML work with Generative AI, SQL, Python, and collaboration with cross-functional teams. Applicants must live in the Eastern Time Zone.

The team uses BigQuery and Tableau to derive insights, build models, and deliver scalable solutions while mentoring junior staff and partnering with clients on end-to-end analytics projects.