Data Analytics Solution Developer
Cleveland, OH, United States
Sherwin-Williams
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- Support SQL analysis of structured and unstructured datasets to develop metrics, evaluate ETL, and create custom data sources.
- Network with stakeholders to understand user needs and requirements for reporting and visual analytics solutions.
- Collaborate with technology organization teams including Data Engineering, Data Architecture, and data management roles to develop technical requirements and data architecture models to support complex data requirements for both internal and external required data
- Provide preliminary designs and maintain high performing and complex Business Intelligence Data Sources and semantic layers for ongoing and ad hoc review and analysis of data.
- Support senior team members to develop, test, debug and deploy dashboards, reports, and visual analytical solutions that aid in data storytelling, understanding, and interpretation of trends and patterns of business importance.
- Conduct research to ensure the quality of data and reporting by conducting thorough testing and establishing metrics to monitor performance
- Perform COE best practice controls and security measures to protect the organization's data and intellectual property
This position is not eligible for sponsorship for work authorization now or in the future, including conversion to H1-B visa.
This position has a hybrid work schedule with three days in the office and the option for working remotely two days.
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.
Education
- Required
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or in lieu of related degree, at least 3 years of experience in an IT centered Business Intelligence role
Skills and Experience
- Required
- Knowledge & Experience
- Experience in a Data Analysis role, including experience with Agile methodologies
- 2-4 years of experience in Business Intelligence tools (e.g., MicroStrategy, Tableau, SAP Business Objects)
- Exposure in designing complex data sources and semantic layers
- Strong understanding of ETL, Data Architecture, and Dimensional Modeling principles and methodologies
- Understanding of database systems and SQL
- Proficient problem-solving ability and analytical skills
- Experience communicating and collaborating effectively with both technical and non-technical stakeholders
- Technical Skills
- ETL/ELT Principles and Methodologies
- BI/Analytics Technologies and Solutions (e.g., MicroStrategy, Tableau, SAP Business Objects)
- Data Analysis Tools (e.g., SQL)
- Databases (e.g., Snowflake, Oracle, PostgreSQL)
- Knowledge & Experience
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Business Intelligence Computer Science Data analysis Data Analytics Data management ELT Engineering ETL KPIs Oracle PostgreSQL Research Security Snowflake SQL Statistics Tableau Testing
Perks/benefits: Career development Health care
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