Data & Analytics Business Analyst

Cornerstone Building Brands

11h•Remote

About The Position

The Business Analyst will work in conjunction with the Analytics team to develop functional technical requirements at Cornerstone. Working closely with business stakeholders, IT and third parties the candidate will work to develop solid business requirements documents and project deliverables.

Requirements

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
Strong communication skills with the ability to engage both technical and non-technical stakeholders
Proven ability to manage multiple priorities in a fast-paced environment
Experience working within teams

Nice To Haves

Experience working with data warehousing platforms (e.g., Snowflake, Oracle ADW)
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

Responsibilities

Partner with business stakeholders to understand, document, and prioritize analytics and reporting needs
Translate business requirements into clear user stories, functional requirements, and acceptance criteria
Maintain structured Business Requirements Documents (BRDs) and backlog items in alignment with Agile practices
Identify opportunities for process improvements, automation, and data-driven decision-making
Leverage AI-assisted tools to analyze requirements, identify patterns, and accelerate documentation (e.g., BRDs, user stories, and acceptance criteria)
Perform lightweight data analysis and exploratory validation using SQL, Excel, or other tools
Develop quick-turn, non-complex reporting solutions using Power BI, Excel, and SQL, and leverage AI-assisted features to accelerate dashboard creation, enhance visualizations, and enable natural language-based data exploration
Support stakeholders with self-service analytics solutions and rapid insights
Validate data accuracy across UAT and production environments
Utilize AI-enabled analytics capabilities to accelerate data exploration, identify trends, and generate actionable insights
Act as a liaison between business users, data engineers, and developers
Build strong partnerships with cross-functional teams including IT, Data Warehouse, and Operations
Facilitate requirement discussions, backlog grooming sessions, and alignment meetings
Communicate complex data insights in a clear, concise, and business-friendly manner
Participate actively in Agile ceremonies (sprint planning, stand-ups, reviews, retrospectives)
Manage and prioritize backlog items in tools such as Azure DevOps
Ensure deliverables align with business goals, timelines, and quality standards
Support iterative development and continuous improvement of analytics solutions
Use AI tools to improve delivery efficiency, including generation of draft user stories, summaries, and documentation to support Agile processes
Develop and execute test plans and test scenarios for analytics solutions
Lead or support UAT activities, ensuring business readiness and validation
Manage defects, issues, and enhancements through structured tracking processes
Ensure data integrity, accuracy, and consistency across systems
Ensure analytics solutions deliver measurable business value and adoption
Identify and address data gaps, inconsistencies, and improvement opportunities
Promote best practices in data governance, quality, and reporting standards
Leverage AI-powered tools and capabilities to improve requirements gathering, data analysis, reporting development, testing, and stakeholder communication
Continuously identify opportunities to enhance analytics processes and delivery efficiency through AI adoption