Senior Data Analyst

Department: Analytics Department

Employment Type: Full Time

Location: Limassol, Limassol, Cyprus, Hybrid

Key Responsibilities

• Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
• Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
• Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
• Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
• Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences

• Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
• Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
• Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
• Keep the solution maintainable: readable Python, documentation, versioned changes

Skills, Knowledge and Expertise

• 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
• Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
• Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
• Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
• Advanced SQL and experience with large datasets in a cloud data warehouse
• Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
• Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
• Professional working proficiency in English and the ability to defend a number in front of senior stakeholders

• Background in mobility, marketplaces or other supply-and-demand systems
• Experience supporting financial planning, S&OP or budgeting processes
• Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
• Hierarchical forecasting across multiple markets
• Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD

Why join us

• Help us challenge injustice by creating fair choices for millions of people across 48 countries
• Develop your professional skills with access to mentoring, career consulting, and learning programs
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
• Work alongside people who take initiative, speak openly, and challenge themselves to grow
• Improve your language skills through co-financed courses and internal speaking clubs
• Annual salary from EUR 70 700 gross