Analytics Team Leader — Delivery Hub

Indrive

Cyprus Analytics Department
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We are looking for an experienced Analytics Team Lead to join our Delivery Hub team and drive data-informed decision-making. You will lead and develop a high-performing team, define the analytics strategy, and partner with business and product leaders to improve the performance, efficiency, and growth of our delivery business.

Key Responsibilities

• Lead, mentor, and develop the analytics team, supporting performance, growth, and professional development

• Define and drive the analytics strategy, roadmap, and standards aligned with business and product objectives

• Oversee key metrics, experimentation, and analytical outputs to ensure quality, consistency, and impact

• Partner with product, engineering, and business leaders to embed data-driven decision-making across the organization

• Establish and continuously improve analytics processes, documentation, and governance

• Ensure data quality, integrity, and effective cross-team data collaboration

Skills, Knowledge and Expertise

• 3+ years of experience in data analytics or data science

• Analytical mindset: structured and critical thinking, the ability to find a balance between the resources spent and the effect on the business

• Strong mathematical background with an emphasis on mathematical statistics, optimization theory, time series and causal inference

• Proficiency in Python and data analysis libraries

• Proficiency in SQL: ability to work with large amounts of data, write and optimize complex queries, create analytical data marts

• Experience in creating BI reports: Plotly / Redash / Tableau

• English: Professional Working Proficiency

Conditions

• Stable salary, official employment

• Health insurance

• Hybrid work mode and flexible schedule

• Access to professional counseling services, including psychological, financial, and legal support

• Discount club membership

• Diverse internal training programs

• Partially or fully paid additional training courses

• All necessary work equipment

Skills

Data AnalyticsData ScienceLeadershipMentoringAnalytical MindsetMathematical StatisticsPythonSQLBusiness Intelligence (BI) ReportingProfessional Working Proficiency in English