What will you do?

— 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

Who you are

— 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

What additional skills will help you stand out?

— 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

Benefits

— 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

Team / Tech & Work Details

— 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