Job title: Data Analyst

Analyze data to answer business questions, identify patterns, and generate actionable insights
Research data across complex systems with multiple internal and external sources, understanding data flows, dependencies, and limitations
Support experiment measurement and analysis, including A/B tests, incrementality studies, and creative testing
Partner with marketing, product, and engineering on tracking requirements, measurement plans, and documentation
Design AI-powered automations for insight generation, anomaly detection, data validation, and analytical workflows
Help maintain data pipelines/semantic layers; ensure metric definitions and transformation logic are clean and well-documented

Educated in Computer Science, Mathematics, Physics, or a similar field
Hands-on experience with data analysis and automation (SQL + Python, BI tools, workflow automation)
Proactive mindset and eagerness to grow practical AI skills (ML fundamentals, LLM tooling, data quality automation)
Experience operationalizing LLM workflows (prompting, evaluation, guardrails) for analytics use cases
Responsible, self-driven approach with the ability to take ownership of tasks and communicate proactively

Experience with warehouses (BigQuery/Snowflake), dbt, Airflow, or similar
Experience with product, marketing, or user behavior analytics, including funnels, cohorts, retention, attribution, LTV, experimentation, or similar measurement topics
Familiarity with mobile attribution, analytics, or measurement platforms, as well as working with multi-source data integration
Experience with predictive modeling techniques (e.g., regression/classification, time-series forecasting, uplift/propensity modeling) and model evaluation

21 days annual leave (additional days based on years of service: up to 25 days)
Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
Sick Leave (10 days top-up to statutory allowance per year)
Maternity Leave (18 weeks top-up to statutory allowance per case)
Career development and education opportunities within the company
English Language courses fully covered by the company upon Manager’s approval
Premium Private Health Care
Mental well-being program (iFeel)
Onsite gym and spa
Free parking close to the Nicosia offices, based on availability
Free drinks-equipped kitchen in every floor building
Hellenic Bank benefits (if applicable)
Employee discounts (e.g. restaurants, bars, etc.)
Personal Gaming Account
Onsite canteen with subsidized prices for food and drinks
Company events, Social Clubs
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward

Hybrid work mode (2-3 days of work from the office)
Relocation & immigration support available
Tech stack: SQL, Python, BI tools, workflow automation; experience with data warehouses and related tooling is beneficial

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Data Analyst