Analytics Solutions Analyst

ABOUT THE ROLE

The Analytics Solutions Analyst connects business strategy analytics delivery and data product enablement. This role combines modern business analysis hands-on analytics development and solution ownership to deliver trusted actionable insights that support better decisions and measurable business outcomes.

You will partner with business leaders Data Science Engineers Data Engineers and technology teams to identify high-value opportunities shape analytics solutions and develop minimum viable products (MVPs) or proofs of concept (POCs) that quickly validate business needs solution feasibility and expected value. You will use stakeholder feedback and analytical evidence to refine successful concepts into scalable trusted analytics solutions that strengthen data adoption and enable AI-powered experiences. The role prioritizes solution ownership KPI design self-service enablement and analytical problem solving while using AI to streamline routine documentation and administrative work.

WHAT WILL YOU DO

Business Analysis & Stakeholder Consulting Using AI Coworkers and Agents

• Partner with business leaders and subject matter experts to understand objectives challenges opportunities and success measures.
• Use AI-powered coworker tools copilots and agents to summarize stakeholder input identify themes and gaps prepare discovery questions and accelerate follow-up actions while applying human judgment and validating outputs.
• Serve as a trusted analytics advisor and use AI-assisted research and analysis to strengthen conversations about KPIs business processes risks and value realization.
• Translate business needs into analytics solutions data requirements measurable outcomes and product enhancements using AI to improve requirement quality traceability and consistency.
• Create lightweight fit-for-purpose requirements user stories acceptance criteria and process documentation with AI assistance then review and refine the content with stakeholders.
• Lead workshops design reviews solution demonstrations and alignment sessions using AI-generated summaries and action tracking to improve stakeholder support and decision follow-through.
• Drive consensus around KPI definitions reporting standards and business metrics.

Analytics & Business Intelligence Development

• Design and develop MVPs POCs Power BI dashboards reports scorecards KPI frameworks semantic models and reusable business metrics.
• Build scalable analytics assets that support enterprise reporting and self-service analytics.
• Create interactive and executive-ready visualizations that communicate trends risks opportunities and performance drivers.
• Develop DAX calculations Power Query transformations KPI logic and business-ready semantic models.
• Perform exploratory analysis using SQL Power BI Excel and enterprise analytics platforms to identify patterns root causes and improvement opportunities.
• Translate analytical findings into clear business recommendations and enable AI-powered natural-language analytics experiences.

Data Product & Solution Ownership

• Own assigned analytics products dashboards scorecards and reporting solutions throughout their lifecycle.
• Monitor alignment to business objectives user adoption stakeholder feedback and value realization.
• Define trusted KPI definitions and standardized calculations that support a single source of truth.
• Prioritize enhancements based on business value impact adoption and strategic alignment.
• Contribute to analytics roadmaps and data product strategy in partnership with engineering and product teams.
• Identify opportunities for automation analytics modernization process optimization and faster decision making.

Testing Governance & AI Enablement

• Validate data accuracy consistency completeness and integrity across reporting environments.
• Support testing reconciliation root cause analysis and issue resolution for analytics solutions and KPI calculations.
• Promote reporting standards metric governance trusted analytics and responsible use of enterprise data.
• Maintain business KPI documentation and solution knowledge assets.
• Use Microsoft Copilot Power BI Copilot Snowflake Cortex Analyst and/or other enterprise AI tools to accelerate analysis and reporting development.
• Apply prompt engineering fundamentals support AI-ready semantic models evaluate AI-generated insights and champion responsible AI adoption.

Qualifications :

Required Qualifications

• Bachelors degree in Business Information Systems Data Analytics Computer Science Industrial Engineering Statistics or a related field.
• 2 years of experience in business analysis business intelligence analytics reporting or a related data role.
• Hands-on experience developing Power BI reports dashboards and KPI scorecards including DAX and Power Query.
• Experience writing SQL queries for data analysis testing and validation.
• Ability to gather business needs and translate them into practical analytics solutions.
• Strong stakeholder engagement communication analytical thinking and problem-solving skills.
• Experience analyzing business processes identifying improvement opportunities and supporting Agile delivery and UAT.
• Advanced English

Preferred Qualifications

• Experience with Snowflake Microsoft Fabric Databricks or equivalent analytics platforms.
• Experience with semantic modeling dimensional modeling data warehousing and enterprise analytics ecosystems.
• Experience defining enterprise KPIs performance scorecards and self-service analytics programs.
• Experience using Power BI Copilot Microsoft Copilot Snowflake Cortex Analyst GitHub Copilot or similar AI-enabled platforms.
• Familiarity with data product management practices and Azure DevOps.
• Exposure to Python R statistics AI agents MCP/API integrations conversational analytics or natural-language analytics design.

Additional Information :

Work from home! (Flexibility to go to the office once per month)

Why work for Cornerstone Building Brands

Our teams are at the heart of our purpose to positively contribute to the communities where we live work and play.

Full-time 
Schedule: Monday to Friday 8am to 5pm 
Team members receive medical dental and vision benefits starting day 1.
Other benefits include paid holidays life insurance LTD STD trainings and professional development. You can also join one of our Employee Resource Groups which help support our commitment to providing a diverse and inclusive work environment.
Free virtual English course
Employee Assistance Program 

Remote Work :

No

Employment Type :

Full-time