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Senior Data AnalystSherwin-Williams • United States
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Senior Data Analyst

Sherwin-Williams
  • US
    United States
  • US
    United States
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About

Job Description
This position is an excellent opportunity for an individual to contribute to the digital initiatives and data visualization projects of the Sherwin Williams General Industrial business unit. This position is accountable for the development of visualization and reporting solutions to support functional areas of R&D, analysis to support simplification, cost savings, efficiency, product analysis and Continuous Improvement initiatives.
The successful candidate will be versed in data analytics and visualization solutions, well organized, capable of managing multiple project assignments, and effective in written and verbal communication, with an ability to convey complex and technical information to diverse audiences. Creativity and a proven ability to collaborate are also key for this role as this individual will manage relationships with stakeholders and become a subject matter in support of new and existing analytics providing accurate views of data along with insight in how it can be used to improve processes and products.
Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships.
Responsibilities
• Lead data strategy within General Industrial R&D, integrating and refining complex, multi-source datasets (formulation, process, and operational) to ensure accuracy, consistency, and usability for decision-making. • Design and execute advanced data analyses and queries, establishing robust validation frameworks to improve data integrity and confidence across global datasets. • Translate business and technical requirements into scalable, high-impact visualizations, enabling clear linkage across processes, raw materials, formulations, and performance outcomes. • Drive global data standardization and alignment, partnering with regional GI teams to harmonize definitions, metrics, and reporting structures across USCA, LATAM, EU, and APAC. • Partner with enterprise data architects and system owners to influence data model design, governance practices, and system integration strategies that support R&D and quality excellence. • Identify systemic data quality gaps, implementing sustainable process improvements to prevent recurrence and improve downstream analytics. Including recommendations to modify processes and systems impacting input data as well as focus on the output data and visibility to aid in Quality program/proactive projects. • Collaborate with IT and digital teams to architect data pipelines and enable advanced analytics, ensuring accessibility of critical datasets within Power BI, Tableau, Snowflake, and other platforms. • Develop advanced data models and integrated datasets using tools such as Snowflake, Dataverse, Oracle, and Excel, enabling scalable and repeatable analysis across projects and regions. • Lead analytics targeted at process improvement initiatives, allowing Technical/Quality managers to using statistical insights and visualization to identify optimization opportunities in product performance, cost, and manufacturing robustness. • Manage and influence digital tool enhancements (e.g., Navigator, Product Vision) to improve usability, adoption, and alignment with R&D and quality workflows. • Serve as a global leader in data literacy, building capability through training, coaching, and strategic communication to shift the organization toward self-service, insight-driven decision making. • Translate complex data into actionable insights for senior leadership, highlighting risks, opportunities, and trade-offs with clarity and precision. • Proactively surface trends and signals across global datasets, anticipating risks and identifying opportunities for innovation, process optimization, and competitive advantage.
Qualifications
BASIC QUALIFICATIONS • Must be legally authorized to work in country of employment. • Master's degree in a Science, Technology, Engineering or Math field. • Must be at least 18 years of age. • Minimum 3 years of experience working with data analysis.
PREFERRED QUALIFICATIONS • Bachelor's degree in Chemistry, Engineering • Strong background in Product Vision, Business Objects, Excel, Oracle (OBIEE) and Tableau.
Travel Requirements: 10%
About Us
At Sherwin-Williams, our purpose is to inspire and improve the world by coloring and protecting what matters. Our paints, coatings and innovative solutions make the places and spaces in our world brighter and stronger. Your skills, talent and passion make it possible to live this purpose, and for customers and our business to achieve great results. Sherwin-Williams is a place that takes its stability, growth and momentum and translates it to possibility for our people. Our people are behind the strength of our success, and we invest and support you in:
Life ... with rewards, benefits and the flexibility to enhance your health and well-being Career ... with opportunities to learn, develop new skills and grow your contribution Connection ... with an inclusive team and commitment to our own and broader communities It's all here for you... let's Create Your
Possible
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.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable federal, state, and local laws including with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act where applicable.
Sherwin-Williams is proud to be an Equal Employment Opportunity employer. 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.
Please be aware, Sherwin-Williams recruiting team members will never request a candidate to provide a payment, ask for financial information, or sensitive personal information like national identification numbers, date of birth, or bank account numbers during the application process.
  • United States

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  • English
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