Data Analyst-Global Client Operation Centre

As a team player who is both business-driven and highly analytical, you will work with cross-functional business units to perform back-office data analysis and reporting without requiring market context or interaction with final customers. Your role will involve taking a recurrent business need and finding ways to address it in an automated and scalable manner, through process optimization and creation of dedicated tools. Key Responsibilities: - Develop deep knowledge of the company's technology, products, and position in the marketplace. - Provide actionable insights and create best practices to solve operational problems, while actively seeking opportunities for scaling analysis and tools across different business units. - Utilize Python and SQL to address commercial requests. - Own and maintain reports/tools in Tableau, Python, and other data tools. - Conduct back-office ad-hoc analysis, problem-solving, and troubleshooting including Root Cause Analysis. - Automate persistent tasks to enhance efficiency and reduce delivery times. - Collaborate with teams in other countries to support their analytical needs. Qualifications Required: - Bachelors degree or higher in a quantitative/business field (Mathematics, Statistics, Engineering, Economics, Business, Finance, etc.). - At least 4 years of work experience in a business/data analytics role, preferably from consulting, product-tech, retail, e-commerce background. - Strong intellectual curiosity and ability to structure and solve difficult problems with minimal supervision. - Excellent technical skills including strong SQL, basic Python, and visualization. - Effective business acumen and client engagement skills to provide clear actionable insights. - Experience in any of the following is a plus: Excel, Tableau, Hive/Hadoop, Vertica, Git/Gerrit. - Knowledge in agency or digital marketing is a plus. This job opportunity offers you a chance to join a dynamic team where you can apply your analytical skills to drive business decisions and create impactful solutions. As a team player who is both business-driven and highly analytical, you will work with cross-functional business units to perform back-office data analysis and reporting without requiring market context or interaction with final customers. Your role will involve taking a recurrent business need and finding ways to address it in an automated and scalable manner, through process optimization and creation of dedicated tools. Key Responsibilities: - Develop deep knowledge of the company's technology, products, and position in the marketplace. - Provide actionable insights and create best practices to solve operational problems, while actively seeking opportunities for scaling analysis and tools across different business units. - Utilize Python and SQL to address commercial requests. - Own and maintain reports/tools in Tableau, Python, and other data tools. - Conduct back-office ad-hoc analysis, problem-solving, and troubleshooting including Root Cause Analysis. - Automate persistent tasks to enhance efficiency and reduce delivery times. - Collaborate with teams in other countries to support their analytical needs. Qualifications Required: - Bachelors degree or higher in a quantitative/business field (Mathematics, Statistics, Engineering, Economics, Business, Finance, etc.). - At least 4 years of work experience in a business/data analytics role, preferably from consulting, product-tech, retail, e-commerce background. - Strong intellectual curiosity and ability to structure and solve difficult problems with minimal supervision. - Excellent technical skills including strong SQL, basic Python, and visualization. - Effective business acumen and client engagement skills to provide clear actionable insights. - Experience in any of the following is a plus: Excel, Tableau, Hive/Hadoop, Vertica, Git/Gerrit. - Knowledge in agency or digital marketing is a plus. This job opportunity offers you a chance to join a dynamic team where you can apply your analytical skills to drive business decisions and create impactful solutions.