Lead Analyst, Analytics
About The Position
The purpose of this role is data analysis/guided deliverable development in support of assessment/strategic deliverables. Job Description: 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.
Requirements
- 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.
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.
Benefits
- Opportunities for professional development and career growth.
- Exposure to advanced analytics and AI-driven transformation initiatives.
- A collaborative and innovative work environment.
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
