Senior Data Analyst

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.

About Inetum

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!

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.

Requirements

• 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.
• 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).

Preferred

• 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.