Senior Data Analyst

Inetum is a global leader in IT services, dedicated to delivering innovative solutions to our clients. We are committed to fostering a dynamic, inclusive, and diverse work environment where creativity and collaboration thrive. We are present in 19 countries and have more than 28,000 employees worldwide. If you are looking for a dynamic, innovative, and technology-driven company, Inetum is the right place for you! We are looking for an experienced Senior Data Analyst to join our team and play a key role in transforming data into actionable business insights. You will be responsible for developing analytical solutions, automating data processes, ensuring data quality, and supporting strategic decision-making through advanced analytics and data visualization. Working closely with both business and technical stakeholders, you will act as a bridge between operational teams and IT, helping to identify opportunities for process optimization and business performance improvement. Key Responsibilities - Develop, execute, and maintain Python-based analytical models and data processing engines. - Collect, analyze, and interpret data from multiple internal and external sources to generate business insights. - Design, develop, and improve analytical models, reporting solutions, and decision-support tools. - Build, execute, and automate ETL processes using Python and SQL to support data analytics initiatives. - Monitor, improve, and maintain data quality standards, controls, and governance practices. - Create and maintain dashboards, reports, and data visualizations using tools such as Power BI or Tableau. - Define, track, and analyze KPIs related to business performance and the effectiveness of analytical models. - Support continuous improvement initiatives through process analysis and Lean methodologies. - Conduct data mining and advanced analytical studies to evaluate business performance, customer behavior, and marketing initiatives. - Provide recommendations to business stakeholders based on data-driven insights. - Collaborate with cross-functional teams to improve operational efficiency and business processes. - Lead analytical studies and coordinate activities involving multiple stakeholders. - Act as a key point of contact between business divisions and IT/CIO functions. - 6+ years of experience in Data Analytics, Business Intelligence, Data Science, or a related field. - Proven experience working with large and complex datasets in a business environment. - Experience leading analytical initiatives and engaging with senior business stakeholders.Technical Skills - Strong proficiency in Python for data analysis, automation, and ETL development. - Advanced SQL skills, including complex queries and data manipulation. - Experience with Power BI, Tableau, or similar data visualization platforms. - Solid understanding of Data Warehousing concepts and ETL processes. - Knowledge of statistical analysis and data modeling techniques. - Experience with Data Mining and Business Intelligence methodologies. - Strong understanding of data quality management and governance principles. - Advanced knowledge of Microsoft Office Suite, particularly Excel.Languages - Fluent English (written and spoken).Nice to Have - Experience with Data Science and Machine Learning techniques. - Knowledge of Lean methodologies and process optimization frameworks. - Experience working in international and multicultural environments. - Familiarity with cloud-based analytics platforms and modern data architectures. Responsibilities at Senior Level - Provide strategic recommendations to business divisions based on data insights. - Identify optimization opportunities and improvement levers across business processes. - Lead analytical studies and coordinate cross-functional initiatives. - Support decision-making through advanced analytics and performance measurement. - Serve as a trusted advisor to business and technology stakeholders regarding data-driven initiatives.