SaaS & Data Systems Analyst

Sherwin-Williams; Cleveland (OH); On-site; USD 65,000 - 90,000; Full time

Job summary

Sherwin-Williams is seeking a Technical Analyst to support SaaS and enterprise-wide applications essential for data collection, retrieval, and analysis. You will configure, setup, and update systems, build reports, and provide user training while collaborating with cross-functional teams to ensure performance and data quality.

This on-site role is based at the Cleveland Headquarters. The ideal candidate has a strong background in enterprise software support, data management, and reporting, with

Qualifications

• Bachelor's degree in Computer Science or Information Technology; in lieu of degree, 3+ years enterprise-wide software support experience.
• 2+ years of experience in enterprise-wide software support with knowledge of software development methodologies.
• Knowledge of enterprise-wide applications and software platforms; experience with SaaS and enterprise-wide systems.

Responsibilities

• Assist in developing and identifying design considerations and business impacts for configuration.
• Organize and provide data for internal planning and activities.
• Perform basic configuration, setup, and updating of applications.
• Load data into established tables, fields, and system databases.
• Define governance standards and data input/ storage processes.

Skills

Data analysis

Problem solving

Communication

SaaS knowledge

DB management

Query writing

Cross-functional collaboration

Security concepts

Education

Bachelor's degree in Computer Science or Information Technology

Tools

Stibo STEP

Job description

Sherwin-Williams is seeking a Technical Analyst to support SaaS and enterprise-wide applications essential for data collection, retrieval, and analysis. You will configure, setup, and update systems, build reports, and provide user training while collaborating with cross-functional teams to ensure performance and data quality.

This on-site role is based at the Cleveland Headquarters. The ideal candidate has a strong background in enterprise software support, data management, and reporting, with