Analytics Engineer

Yodeck

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.

Posted 5/4/2026full-timeAthens • 🇬🇷 GreeceMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

SQLdata modelingdata transformationdata quality testingdimensional modelingcanonical modelssemantic layersdata contractsdata architecturedata metrics

Soft Skills

analytical thinkingstructured thinkingattention to detailcross-functional collaborationsolution-orientedbusiness mindsetcommunicationadaptabilityproblem-solvingstakeholder engagement