Lead Analyst, Analytics
Indexed description
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.
- 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.
- Opportunities for professional development and career growth.
- Exposure to advanced analytics and AI-driven transformation initiatives.
- A collaborative and innovative work environment.
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.
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.
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