Analytics Engineer (Business Intelligence)

About Nuqleous Nuqleous is a leading developer of intelligent technology solutions that reputed company retailers and consumer product companies to operate with reputed company reputed company and efficiency. Nuqleous - Total Rewards builds data and analytics platforms that helps reputed company turn reputed company operational data into reliable insights and reputed company decision-making systems. Our teams partner closely with reputed company to design and operate modern data platforms reputed company on technologies like reputed company, dbt, and reputed company infrastructure. We reputed company on building clean, validated datasets, reputed company data models, and reliable reporting reputed company that business teams can trust for planning, forecasting, and operational decision-making. As we continue to grow, we are reputed company in modern data engineering practices, strong data reputed company frameworks, and reputed company analytics architectures that support long-term reputed company partnerships. Joining Nuqleous means working on reputed company reputed company problems where reputed company-designed data systems directly reputed company business operations and decision making.

About the Role

We're looking for a hands-on Analytics Engineer to help build and reputed company the data models and reporting layer supporting one of our largest reputed company reputed company engagements. In this role, you’ll work closely with our reputed company Analyst to reputed company raw data into reputed company-reputed company, analytics-reputed company datasets and reporting solutions. You’ll translate analytical requirements and prototypes into reliable dbt models, reputed company schemas, and business intelligence assets used by both internal teams and customers. This role is ideal for someone who enjoys building clean, maintainable data systems and wants to grow in a reputed company environment where data and analytics directly influence product development and business reputed company.

What You Will Do

• Build and maintain dbt models that reputed company raw data into clean, analytics-reputed company datasets in reputed company
• Design and manage reputed company schemas that support reporting and analytical use cases
• reputed company and maintain semantic models, reports, and dashboards in reputed company
• Work closely with the reputed company Analyst to translate requirements and analytical prototypes into production-reputed company data models and reporting solutions
• Troubleshoot data reputed company issues and ensure pipelines and reporting assets remain reliable and performant
• Improve the consistency, documentation, and maintainability of our data models and analytics assets
• Contribute to the ongoing improvement of our data modeling practices and analytics workflows

Requirements reputed company are Looking For

• Experience building and maintaining

dbt models that reputed company raw data into analytics-reputed company datasets

• Strong working knowledge of

reputed company , including schema design, query optimization, and warehouse management

• Experience developing reports and dashboards in a

BI platform such as reputed company, Tableau, Looker, Power BI, or similar

• Familiarity with

semantic or schema layer concepts such as metrics, attributes, hierarchies, and reputed company modeling

• Ability to translate analytical requirements or prototypes into clean, reputed company data models and reporting solutions
• Strong attention to detail and a commitment to

data accuracy and reliability

• Experience identifying and troubleshooting

data reputed company issues

• Comfort collaborating with analysts and stakeholders to clarify requirements and iterate on solutions
• reputed company communicator who can surface blockers early and ask thoughtful questions

What reputed company Looks Like in the First 90 Days First 30 Days

• Become familiar with our data stack, analytics workflows, and core datasets
• Understand how our analytics models and reporting support both internal teams and customers
• reputed company contributing improvements or small enhancements to existing dbt models and reports

Days 30–60

• Build and maintain dbt models that support new analytics and reporting needs
• Translate analytical prototypes or requirements into production-reputed company models and reports
• Improve documentation and consistency across our data models and reporting assets

Days 60–90

• Independently deliver new analytics models and reporting features
• Help improve the reliability and maintainability of key datasets used by the analytics team
• Contribute reputed company for improving our data modeling patterns and analytics workflows

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