Hybrid Analytics Engineer

at Yodeck

• Job title: Analytics Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: SQL
• Location requirements: Hybrid, Athens, Greece

About the role

• Analytics Engineer at Yodeck developing robust data models for reporting and insights. Collaborating with analysts and stakeholders to support business decision-making in the digital signage industry.

Responsibilities

• Design and build core data models (Customer, Subscription, Revenue) in Snowflake using dbt, structuring Silver and Gold layers to support reliable reporting and analysis across the business
• Implement and maintain standardised metric logic (MRR, churn, CAC, retention) in collaboration with the Head of Data and stakeholders, ensuring consistent, reusable definitions across all tools
• Implement data quality checks, testing, monitoring and documentation in dbt, ensuring trust and transparency in all data outputs
• Partner with analysts and stakeholders to translate business questions into structured data models; support BI tools with curated data sources
• Implement and maintain data contracts and model standards in collaboration with the Data Engineer, reducing pipeline breakages and ensuring schema stability
• Continuously improve and evolve data models as business needs change; support self-serve analytics adoption

Requirements

• Strong SQL skills and experience working with data warehouses (e.g. Snowflake)
• Hands-on experience with data transformation tools (e.g. dbt preferred)
• Experience working with layered data architectures (e.g. Bronze/Silver/Gold) and data modelling concepts (dimensional modelling, canonical models, semantic layers)
• Experience working with complex datasets from multiple sources (product, CRM, billing)
• Experience working with subscription or revenue metrics (e.g. MRR, churn, retention) is highly preferred
• Experience implementing data quality testing and validation
• Familiarity with version control (Git) and collaborative workflows
• Ability to translate business requirements into scalable data models
• Strong analytical and structured thinking with a business mindset
• Attention to detail and data quality
• Ability to work cross-functionally with both technical and non-technical stakeholders
• Pragmatic and solution-oriented approach
• Comfortable working in a fast-paced, evolving environment
• Have a passion for AI solutions and self-serve capabilities

Benefits

• Competitive salary
• Company-wide bonus scheme and a great Stock Option plan
• Amazing workplace, certified as Great Place to Work
• Hybrid Work From Home policy
• Office gym, nutritionist, and meal vouchers
• Individual training budget for professional development
• Private medical insurance plan
• Fun and collaborative start-up environment (with amazing offices!)
• Flexible working arrangements
• Commuting Expenses
• Equal opportunity and workplace diversity