Data Analyst FP&A
About Us
At Benjamin Moore, we empower our team members to achieve their goals and make a positive impact in our communities. We offer a rewarding and inspiring work environment that fosters creativity, collaboration, and a strong sense of camaraderie. Our culture of excellence and transparency encourages colleagues to bring their authentic selves and unique perspectives every day. With 140 years of rich history, we know our people are the driving force behind our success. We invest in our colleagues through work-life balance, competitive benefits, ongoing learning, and skill development. Join us and be part of a brand that inspires creativity, innovation, and passion in support of locally-owned stores worldwide.
About the Role
This is a unique opportunity to gain broad experience, take on significant responsibility for a variety of projects, and engage with key decision makers. The Data Analytics Analyst will independently design data modeling processes to support strategic and operational priorities, drive data-driven decisions, and create algorithms and predictive models to extract business-critical data.
Responsibilities
- Design, develop, and deploy Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering techniques.
- Build production-ready APIs and AI services to integrate machine learning models into enterprise applications and business workflows.
- Perform quantitative research in business-related fields and other thematic areas, including data mining, model building/maintenance, and developing reports to answer data-related queries.
- Generate and test hypotheses using appropriate econometric study designs and extract meaningful, evidence-based narratives from technical analyses.
- Produce and analyze comparative statistical reports to identify trends, patterns, or fluctuations in key performance indicators (KPIs), and recommend actionable insights to senior management.
- Develop, train, and evaluate Machine Learning models (regression, classification, clustering, time series, etc.), including data cleaning, algorithm selection, feature engineering, exploratory data analysis, model training, and performance evaluation.
- Assist in building end-to-end data science pipelines from data ingestion to model deployment.
- Assess model performance using metrics such as accuracy, precision, recall, F1-score, and tune models to improve performance.
- Stay current with new tools, technologies, and techniques in the rapidly evolving field of data science.
- Locate and define new process improvement opportunities.
- Research best practices in the industry and gather competitive intelligence to identify potential trends and risks in the market.
Requirements
- 3+ years of work experience applying statistical and machine learning methods, such as regression, classification, forecasting, and causal inference.
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or another quantitative discipline.
- Solid grasp of microeconomic/consumer theory, experimental design, and sensitivity analysis.
- Strong technical skills in programming tools (R, Python), cloud software (Azure ML, Microsoft Fabric, Google Analytics, Snowflake), data visualization tools (Tableau, Power BI, Qlik Sense), and data querying tools (SQL, Business Objects).
- Familiarity with creating and deploying Gen-AI Agents and ML Applications.
- Experience with data science libraries and tools such as scikit-learn, TensorFlow, PyTorch/PySpark for machine learning, and Jupyter Notebook or RStudio for data analysis.
- Ability to establish and maintain effective relationships with internal business stakeholders by understanding and meeting their expectations.
- Ability to work in a rapidly evolving environment, quickly grasp and apply new concepts, and meet deadlines under pressure with accurate and relevant analysis.
- Excellent written and verbal communication skills with a high degree of accuracy and attention to detail.
- Minimal travel required on an as-needed basis.
- Minimal physical requirements for this position.
Benefits
- Student Loan Repayment Assistance Program for eligible employees who graduated from an accredited post-secondary institution.
Benjamin Moore is committed to a culture of inclusion and belonging and does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law.
Pay
USD $86,400.00 - USD $110,600.00 per year.