Data Science Engineer

Cornerstone Building Brands

Data Science Engineer tasked with transforming data into insights for strategic decision-making at Cornerstone Building Brands. Collaborating with stakeholders to optimize reporting processes and deliver analytics solutions.

Posted 7/29/2026full-timeRemote • San José • 🇨🇷 Costa RicaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable analytics solutions using Power BI, while ensuring data accuracy and compliance with governance standards. Proficient in translating business requirements into actionable insights and fostering collaboration with stakeholders to drive operational efficiency and strategic decision-making.

Highest-signal resume keywords

Power BI Solution DevelopmentData Modeling (Star and Snowflake Schemas)ETL/ELT Process DevelopmentCloud Analytics Platforms (Snowflake, Azure Synapse)Agile/Scrum Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness IntelligenceAnalytical Data ModelsReporting SolutionsData ValidationTroubleshootingSemantic ModelsAI-Powered ReportingNatural Language AnalyticsAutomation of Manual Processes

Soft Skills

Stakeholder CollaborationRequirements GatheringCommunicationProblem-SolvingVisual Storytelling

Tools & Technologies

Power BIMicrosoft FabricAzure Synapse AnalyticsDatabricksGitHub CopilotMicrosoft CopilotPower BI CopilotSnowflake Cortex AnalystClaudeChatGPT Enterprise

Industry Keywords

Data GovernanceData Quality StandardsAI GovernanceResponsible AI PrinciplesConversational Analytics

Tech Stack

Tools & technologies

AzureCloudETL

About the role

Key responsibilities & impact

The Data Science Engineer – Business Intelligence, Analytics & AI transforms enterprise data into actionable insights by designing, developing, and delivering scalable analytics solutions.
This role partners with business stakeholders, leadership, data engineering, and technology teams to create trusted data products, optimize reporting processes, and deliver executive-ready analytics that support strategic decision-making, operational efficiency, and measurable business value.
Design, develop, and maintain Power BI dashboards, reports, scorecards, KPI frameworks, semantic models, datasets, and reusable business metrics that support enterprise reporting and decision-making.
Translate business requirements into scalable, user-friendly analytics solutions with strong visual storytelling, performance, usability, and adoption.
Deliver executive-ready analytics that clearly communicate insights to technical and non-technical audiences and drive measurable business outcomes.
Design and maintain dimensional data models, including star and snowflake schemas, aligned with enterprise architecture and modeling standards.
Develop and support scalable ETL/ELT processes, analytical data pipelines, and integrations across enterprise systems.
Partner with Data Engineering teams to improve data availability, reliability, performance, and reporting readiness.
Ensure data accuracy, completeness, consistency, integrity, and compliance with enterprise governance, security, privacy, and quality standards.
Perform validation, reconciliation, root cause analysis, troubleshooting, and testing across unit, integration, regression, and user acceptance activities.
Document business rules, data definitions, lineage, calculation logic, and testing outcomes to support trusted analytics delivery.
Partner with stakeholders to understand business processes, reporting needs, strategic objectives, and opportunities for analytics and AI-enabled improvement.
Facilitate requirements gathering, translate needs into technical specifications, and lead solution reviews, demos, UAT, and stakeholder training.
Serve as a trusted advisor by providing data-driven recommendations that improve business performance and operational efficiency.
Identify opportunities to automate manual processes, improve operational efficiency, and promote self-service analytics adoption.
Evaluate and implement emerging analytics technologies, AI-enabled capabilities, standards, reusable assets, and analytics accelerators.

Requirements

What you’ll need

College degree in Computer Science, Information Systems, Data Science, Statistics, Industrial Engineering, or a related field.
2+ years of experience in Business Intelligence, Data Analytics, Data Engineering, or related disciplines, including enterprise Power BI solution development.
Experience designing analytical data models, reporting solutions, semantic models, and scalable BI assets.
Experience gathering business requirements, partnering with stakeholders, and translating needs into technical solutions.
Experience supporting testing, deployment, troubleshooting, data validation, and production support activities.
Experience with cloud analytics platforms such as Snowflake, Microsoft Fabric, Azure Synapse Analytics, Databricks, or similar technologies. (Preferred)
Experience operating in Agile/Scrum environments and supporting enterprise-scale reporting and analytics initiatives. (Preferred)
Hands-on experience using LLM-based tools in data, analytics, BI, or software engineering environments, including GitHub Copilot, Microsoft Copilot, Power BI Copilot, Snowflake Cortex Analyst, Claude, ChatGPT Enterprise, or similar platforms. (Preferred)
Experience designing prompts, semantic models, and natural language analytics experiences for AI-powered reporting and self-service analytics. (Preferred)
Familiarity with AI agents, conversational analytics, LLM workflows, responsible AI principles, AI governance, AI security, and validation of AI-generated outputs. (Preferred)

Benefits

Comp & perks

Employees can work remotely
Work from home! (Flexibility to go to the office once per month)
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