Analytics Engineer

• Design, develop, and maintain scalable data models, staging layers, and curated datasets within a modern cloud-based data environment.
• Build and support enterprise reporting solutions, including semantic models, metrics, dashboards, and self-service analytics capabilities.
• Partner with business stakeholders to gather requirements and translate complex business processes into well-structured analytical solutions.
• Monitor and support scheduled data integration processes, report refreshes, and related data workflows.
• Troubleshoot data quality, reporting, and pipeline issues while identifying opportunities for process improvement.
• Create and maintain documentation for datasets, metrics, reporting logic, and data lineage.
• Promote data quality standards, modeling best practices, and governance principles across the analytics environment.
• Continuously identify opportunities to streamline workflows, improve reporting accuracy, and enhance data accessibility.

• Strong experience developing business intelligence and analytics solutions using Power BI or similar reporting platforms.
• Advanced understanding of data modeling concepts, including dimensional modeling and star schema design.
• Experience creating semantic models, relationships, calculated measures, and business-focused reporting structures.
• Strong SQL development skills, including complex queries, CTEs, window functions, data transformations, and multi-source integration.
• Ability to work directly with business users to define requirements and translate them into technical solutions.
• Strong attention to detail and commitment to data accuracy and integrity.
• Understanding of data governance, data quality, and reporting best practices., * Experience working with ERP, financial, operational, or enterprise business systems as data sources.
• Familiarity with ETL/ELT processes and modern data integration tools.
• Exposure to cloud-based analytics and data platform technologies.
• Experience with source control tools and collaborative development practices.
• Basic Python skills for data preparation, automation, or analysis.
• Knowledge of modern data platform concepts including lakehouse architectures, dataflows, and cloud analytics services.

Education & Background

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 3+ years of experience in analytics engineering, business intelligence, data analytics, or a similar data-focused role.
• Proven experience building scalable reporting and analytics solutions within an enterprise environment.

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