Team Manager - Data Analytics Team

• Team Leadership: Establishes a clear vision and mission for the team and creates actionable plans to achieve them
• Supports efficient delivery by clearly defining requirements, removing blockers, and relentlessly prioritizing work
• Develops a proactive, self-managed team culture with strong ownership and accountability—without micromanagement
• Encourages team members to build strong collaborative relationships with business partners and play an active, consultative role in their projects (bringing new ideas, proposing alternatives, and balancing stakeholder needs)
• Drives personal and professional growth by creating opportunities such as increased responsibilities, project leadership, stakeholder education, internships, and peer mentorship
• Stakeholder Management: Manages stakeholder expectations by setting commitments, explaining feasibility, aligning on realistic deadlines, and communicating potential risks in a timely, transparent manner
• Proactively identifies opportunities to improve products, services, and stakeholder workflows, helping partners become more data-driven
• Establishes strong communication channels with key stakeholders to ensure continuous feedback, shared vision, and early detection of challenges
• Continuously strengthens communication and conflict-resolution skills, stepping in when projects require course correction and ensuring collaboration remains constructive—even during difficult moments
• Adapts communication style to cultural differences across a global organization, fostering mutual understanding and respect
• Technology & Data: Actively expands understanding of the technologies and tools used by the team
• Has hands-on experience with Python (especially Pandas and NumPy for automation), strong SQL skills, and confidence working with large datasets (terabytes)
• Works closely with senior analysts or a Teach Lead to drive the team’s technical development and integrate innovative ideas, tools, and advanced analytics (including ML and LLMs) into daily work
• Supports initiatives to modernize and upgrade the development stack, recognizing that productivity and quality depend on strong technologies and robust workflows

• Leadership & People Development – Guides, mentors, and empowers team members while fostering ownership and accountability
• Analytical Problem-Solving – Translates business problems into data-driven solutions and drives clear, actionable insights
• Technical Fluency – Strong practical understanding of Python, SQL, working with large datasets. The team works with a stack that includes Python, SQL, PySpark, S3, Airflow, Databricks, Grafana, GitHub, and product APIs
• Stakeholder Management – Builds strong relationships, manages expectations effectively, and communicates clearly across diverse audiences
• Business Acumen – Understands how data influences revenue, customer experience, product development, and operational efficiency. Connects analytical insights to real business outcomes
• Execution & Prioritization – Delivers high-quality work, removes blockers, and ensures the team focuses on what matters most

Experience with APIs and PySpark is a plus

• International, fast paced and growing environment
• Chance to work with the world’s biggest brands at the CX tech leader
• Agile and open-minded culture, with high levels of trust and flexibility
• Opportunity for professional growth and development
• Possibility to learn new and cutting edge technologies, in an environment that encourages new ideas
• Work in an international environment in our new modern offices in Karlín, with our big terrace and our own grill
• Multisport card
• Unlimited Personal Time Off, Sick days & Community days
• Maternity and Parental Benefit
• Flexible environment with the possibility of home office working