Cornerstone Building Brands
Manufacturing
Data&AnalyticsBusinessAnalyst
“Data & Analytics Business Analyst at Cornerstone Building Brands. Skills: Business Analysis, Requirements Management, Data Analysis, Reporting. Partner with business stakeholders to document analytics needs. Translate business requirements into user stories”
What You'll Achieve.
Ensure deliverables align with quality standards; Ensure analytics solutions deliver measurable business value
Industry & Context.
Identify opportunities for process improvements; Identify patterns; Identify trends; Identify data gaps
Office once per month
What They're Looking For.
Must Have
Bachelor’s degree in Business, Information Systems, Computer Science, Industrial Engineering, or related field, 2+ years of experience as a Business Analyst in a technology or data-focused environment, Experience with Power BI, Excel, and SQL for data analysis and reporting, Proven ability to manage multiple priorities in a fast-paced environment, Experience working within teams
Nice to Have
Experience working with data warehousing platforms, Experience working in Agile/Scrum environments, 2+ years of experience in project management, Familiarity with manufacturing or engineer-to-order environments, Experience with Azure DevOps or similar backlog management tools, Understanding of data modeling, KPIs, and reporting best practices
What You'll Do.
Partner with business stakeholders to document analytics needs
Translate business requirements into user stories
Maintain Business Requirements Documents
Identify process improvement opportunities
Leverage AI-assisted tools to analyze requirements
Perform lightweight data analysis
Develop reporting solutions using Power BI
Support stakeholders with self-service analytics
Validate data accuracy
Utilize AI-enabled analytics capabilities
Act as a liaison between business users
Build partnerships with cross-functional teams
Facilitate requirement discussions
Communicate complex data insights
Participate actively in Agile ceremonies
Manage and prioritize backlog items
Ensure deliverables align with business goals
Support iterative development
Use AI tools to improve delivery efficiency
Develop and execute test plans
Lead or support UAT activities
Manage defects and issues
Ensure data integrity and accuracy
Ensure analytics solutions deliver business value
Identify and address data gaps
Promote best practices in data governance
Leverage AI-powered tools
Continuously identify opportunities to enhance analytics processes
How You'll Work.
Team & Collaboration
Business stakeholders; Analytics team; IT; Third parties; Business users; Data engineers; Developers; Cross-functional teams; Data Warehouse; Operations
Communication Scope
Engage technical stakeholders; Engage non-technical stakeholders; Communicate complex data insights
Process & Methodology
Agile practices, Agile ceremonies, Backlog management, Project management
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