• You can execute complex queries with SQL and are familiar working with database management systems and cloud-based data warehouse
• You have good knowledge of Python
• You are an expert of Business Intelligence tools such as Tableau, Looker, and Mode
• You have experience with typical Product Analytics challenges like user tracking, A/B testing, and experimentation
• You are familiar with how complex Product organizations in the SaaS market operate - from research to experimentation
• You are an excellent communicator - you enjoy storytelling and communicating ideas to both stakeholders and team members using the most suitable communication methods
• You are an enthusiastic analyst at heart - you enjoy creating knowledge and finding answers to the most difficult questions. You are curious and learning new things is your passion
• You are results-oriented - you ensure deadlines and deliverables are met and find feasible ways to extract meaningful information from available data
• You are excited about data-driven decision-making - you understand the importance of data and aim to make the biggest impact via data insights
• You are familiar with product development - you understand the different product stages and how various teams need to cooperate with each other for product development

Desirable

• As a Product Analytics Team Leader, you will be responsible for leading a team of product analysts within the Customer's product areas
• You will work closely with cross-functional teams including product management, engineering, developers, research, and design to identify opportunities for collaboration and product improvement
• You will help ensure the reliability and availability of data to help drive decision-making and business success
• Collaborate with product leads/managers to identify and prioritise projects that are linked to key metrics and performance indicators
• Define KPIs and maintain consistent definitions of metrics across the various teams
• Partner with Research, Business Intelligence and Data Engineering teams to create a knowledge-based culture and environment
• Develop and maintain best practices for data analysis and reporting
• Manage projects from conception through completion, ensuring deadlines and deliverables are met
• Experiment with AI/ML solutions that can eventually reach production
• Train and mentor team members on best practices for data analysis, reporting and visualisation
• Lead and manage a team of product analysts in analysing product data and measuring product performance
• Be responsible for the growth and happiness of the team members
• Support analysts, set expectations, provide regular feedback & keep team members accountable
• Help keep the culture and values inside our analytics team by embracing each individual