This position is responsible for understanding business questions and using analytic tools and techniques to provide insights and recommendations. This person can analyze and glean insights from data but can also move beyond the “what” to the “why” behind various trends. Here, we believe there’s not one path to success, we believe in careers that grow with you. Whoever you are or wherever you come from in the world, there’s a place for you at Sherwin-Williams. We provide you with the opportunity to explore your curiosity and drive us forward. Sherwin-Williams values the unique talents and abilities from all backgrounds and characteristics. All qualified individuals are encouraged to apply, including individuals with disabilities and Protected Veterans. We’ll give you the space to share your strengths and we want you show us what you can do. You can innovate, grow and discover in a place where you can thrive and Let Your Colors Show! At Sherwin-Williams, part of our mission is to help our employees and their families live healthier, save smarter and feel better. This starts with a wide range of world-class benefits designed for you. From retirement to health care, from total well-being to your daily commute—it matters to us. A general description of benefits offered can be found at http://www.myswbenefits.com/ . Click on “Candidates” to view benefit offerings that you may be eligible for if you are hired as a Sherwin-Williams employee. Compensation decisions are dependent on the facts and circumstances of each case and will impact where actual compensation may fall within the stated wage range. The wage range listed for this role takes into account the wide range of factors considered in making compensation decisions including skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The wage range, other compensation, and benefits information listed is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Sherwin-Williams is proud to be an Equal Employment Opportunity/Affirmative Action employer committed to an inclusive and diverse workplace. All qualified candidates will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information, creed, marital status or any other consideration prohibited by law or by contract. As a VEVRAA Federal Contractor, Sherwin-Williams requests state and local employment services delivery systems to provide priority referral of Protected Veterans. Core Responsibilities Develops, interprets, and explains analytic findings to monitor customer purchase behavior and engagement to provide data-driven, actionable insights for improving customer acquisition, retention, and conversion across various channels. Ability to perform statistical modeling to derive insights from data. Includes the use of advanced machine learning modeling techniques. Supports the adoption of analytic best practices, utilizing common tools and analytic disciplines needed to gauge the effectiveness of customer experiences to inform decisions required to drive sales and grow market share. Extract, manipulate, and blend data from various sources to provide accurate and timely analytics to the business. Assists in the creation and completion of multivariate and A/B testing documents (from hypothesis creation to influencing creative to identifying success metrics) and post-test analysis. Collaborate with other data science analysts, business analysts, and business users to understand business requirements and lead the planning and design of analytical tools and models to improve Sherwin-Williams’ decision-making capabilities. POSITION REQUIREMENTS FORMAL EDUCATION: Required: Bachelor’s Degree in Data Science, Marketing Analytics, Analytics, Statistics or Mathematics Preferred: MBA or Graduate-level Degree KNOWLEDGE & EXPERIENCE: Required: Minimum of 10 years’ experience on an analytics team. Expertise using analytics tools and techniques to solve complex business questions. Demonstrated the ability to understand business question(s), collaboratively recommend a path forward, utilize data to solve and communicate recommendations. Expertise in statistical programming languages, such as Python or R. Expertise in building, evaluating, and deploying machine learning models utilizing advanced algorithms such as XGBoost, Random Forest, LightGBM, etc. Expertise in statistical concepts such as test designs, hypothesis testing, clustering analysis, segmentation analysis, and time series analysis. Preferred: 10+ years’ experience on a marketing analytics team, focusing on customer retention and cross-selling. Experience with SQL and related tools Expertise in Snowflake SQL a plus Experience working with Tableau, PowerBI, or other BI Tools TECHNICAL/SKILL REQUIREMENTS: Required: Query and analyze data in relational databases. Ability to understand trends and metrics and convey the “so what” and the “now what”. Ability to derive insights from data to drive strategic recommendations. Machine Learning model building. Python, R (or other) for statistical analytics.