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Senior Data Analyst
Inetum
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted yesterday
About this role
Descrição da empresa 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! Descrição do emprego 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. Qualificações * 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. Informações Adicionais 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.