Senior Operations Data Analyst

The Senior Operations Data Analyst seeks to gain insights into data related to Sherwin-Williams' global ERP solution. The analyst collects and analyzes data, identifies issues and trends, and provides valuable input to support enterprise reporting solutions, including troubleshooting and resolving issues related to data accuracy, report performance and accessibility.

Reporting within the Enterprise Data & Insights organization, the analyst will help to improve efficiency, enhance customer experiences, and manage risks by interpreting complex data sets.

CORE RESPONSIBILITIES AND TASKS :

• Provide day-to-day support for enterprise reporting solutions, including troubleshooting and resolving issues related to data accuracy, report performance and accessibility.
• Assist end-users with report-related inquiries and training.
• Collaborate with business users to understand reporting requirements, changes, and enhancements, and translate them into lean specifications.
• Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
• Monitor report usage and performance. Make recommendations for optimizations and improvements needed.
• Manage report versioning, ensuring that reports are maintained and up to date with system changes and user requirements.
• Collaborate with data engineering on Extraction, Transformation, and Loading (ETL) of data from various sources to support report requirements.
• Document report development process and enforce best practices for report development, ensuring consistency and performance across all reports.
• Identify opportunities to improve existing reports and dashboards.

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."

FORMAL EDUCATION : Required :

Required :

Bachelor's degree in Computer Science, Information Systems, or related field, or in lieu of related degree, at least 5 years of experience in data analysis.

KNOWLEDGE & EXPERIENCE :

Required :

• 5+ years of experience in data analysis, business intelligence, or a similar role with Oracle Fusion Cloud ERP applications.
• Proven experience in a techno-functional role, with the ability to bridge technical and business requirements .
• Familiarity with business operations, processes, and key functions.
• Experience communicating complex technical subjects to technical and non-technical audiences through developing documentation and training materials.
• Experience in coordinating with IT teams and stakeholders.
• Independent, curious, eager to tackle a wide variety of problems, and able to quickly develop knowledge and understanding of new domains and underlying data sources.
• Experience developing, testing, documenting, and maintaining standardized outcome metrics meeting diverse business needs.
• Experience developing, implementing, testing, and maintaining methodologies for standardized and repeatable reporting for internal and external audiences.

Preferred :

• Experience working in a team-oriented, collaborative environment.
• Experience with Agile (Scrum) methodologies and related tools (Jira).
• Experience supporting cross-functional teams in a dynamic environment.
• Experience with business processes and related data requirements in one or more of these process areas :
• Financials : Accounts Payable, Accounts Receivable, Fixed Assets, General Ledger, Tax
• OTI : Order Management, Pricing & Promotions, Warehousing & Distribution, Invoicing
• PMI : Planning & Procurement, Manufacturing Execution, Inventory Management

TECHNICAL / SKILL REQUIREMENTS :

Required :

• Proficiency in SQL, PL / SQL, and data modeling.
• Familiarity with Oracle Cloud PVOs, OTBI, APIs, and integration tools.
• Experience with Data Analytics and Visualization Tools (e.g., Tableau and MicroStrategy)
• Knowledge of data warehousing concepts and ETL processes.
• Strong analytical, conceptual, and problem-solving skills.
• Self-starter who takes initiative to learn and research new concepts, ideas, and technologies quickly.

Travel Requirements : (TIME SPENT AWAY FROM HOME OR OTHER TYPICAL OFFICE LOCATION)