Hiring.Camp

Lead Analyst, Analytics

Dentsuaegis

·

Apr 21, 2026

Salary
$72k – $120k
Location
USA - Remote - Maryland, United States of America
Workplace
Remote
Type
Full-time
Seniority
Lead
Experience
4+ years
Source
Workday

Description

The purpose of this role is data analysis/guided deliverable development in support of assessment/strategic deliverables.

Job Description:

FOR ANY APPLICANT TO BE CONSIDERED, THEY MUST LIVE IN THE EASTERN TIME ZONE.

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. 

 

At dentsu, we believe great work happens when we’re connected. 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). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.

The annual salary range for this position is $72,000-$120,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.  

Benefits available with this position include:  

• 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. 

 

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.  For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com. 

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps. 

Location:

USA - Remote - Maryland

Brand:

Ugam

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. 

  

Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to [email protected] by clicking on the link to let us  know the nature of your accommodation request and your contact information. We are here to support you.  

Skills

PythonSQLMachine LearningBigQueryData ScienceTableau

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