Senior Analytics Engineer – Contract

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TechnologyAdvice

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

🛍️ eCommerce

📱 Media

B2B • eCommerce • Media

TechnologyAdvice is a media and technology company that provides insights and recommendations on business-to-business (B2B) technology products and services. The company specializes in helping organizations make informed purchasing decisions by offering expert analysis and comparisons of various software solutions including HR software, CRM, project management tools, and business intelligence systems. Through data-driven analysis and extensive research, TechnologyAdvice aims to simplify the technology buying process and provide valuable resources for businesses looking to implement new digital solutions.

📋 Description

• Own the design, implementation, and evolution of certified data models, semantic layers, and trusted business metrics that become the foundation for reporting and decision-making across TechnologyAdvice. • Partner directly with Finance, Revenue, Marketing, Editorial, Product, and Engineering stakeholders to understand business questions, define trusted metric definitions, and translate ambiguity into scalable data solutions. • Design, build, and maintain analytics models, transformations, and data products using modern analytics engineering practices. • Establish and continuously improve data quality through automated testing, validation, monitoring, and observability to ensure business stakeholders can trust the data they use every day. • Improve the architecture, organization, and maintainability of our analytics platform, continuously identifying opportunities to simplify, standardize, and modernize our Business Intelligence ecosystem. • Collaborate with DevOps and Software Engineers to improve data ingestion, lineage, orchestration, governance, and platform reliability across the analytics stack. • Apply AI-assisted development practices to accelerate SQL development, documentation, testing, root cause analysis, and engineering productivity while maintaining rigorous standards for data quality and accuracy. • Document business definitions, data models, metric logic, and architectural decisions to improve transparency, onboarding, and long-term maintainability. • Continuously evaluate new technologies, AI capabilities, and analytics engineering practices that improve data quality, governance, developer productivity, and stakeholder confidence. • Own trusted data products end-to-end—from business discovery and metric definition through implementation, validation, adoption, and continuous improvement. • Champion a culture of trusted data by helping teams adopt certified data models and reducing duplicate business logic across reports, dashboards, and applications.

🎯 Requirements

• Deep experience designing, building, and maintaining certified data models using modern analytics engineering practices. • Strong understanding of dimensional modeling, semantic layers, data quality, and analytics engineering principles. • Demonstrated experience implementing automated testing, validation, documentation, and monitoring to improve trust in analytical data. • Strong systems thinking with the ability to understand how upstream data collection, transformations, and downstream reporting interact across the analytics ecosystem. • Demonstrated ability to leverage AI-assisted development tools to improve SQL development, documentation, testing, root cause analysis, and engineering productivity while maintaining high standards for accuracy and quality.

🏖️ Benefits

• No perks or benefits included with this role