Senior Data Analyst

Inetum; Lisboa; On-site; EUR 55,000 - 75,000; Full time

Job summary

Inetum is seeking a Senior Data Analyst to transform data into actionable business insights. You will develop analytical solutions, automate data processes, ensure data quality, and support strategic decisions through advanced analytics and visualizations.

You will collaborate with business and IT stakeholders, leading initiatives and driving process improvements across the organization. Strong Python, SQL, and data visualization skills are essential for success in this role.

Qualifications

• 6+ years of experience in Data Analytics, BI, Data Science, or related field.
• Proven ability to lead analytical initiatives and engage with senior stakeholders.
• Experience with large, complex datasets in a business environment.
• Fluent English written and spoken.

Responsibilities

• Develop, automate, and maintain Python-based analytical models and data processing pipelines.
• Collect and interpret data from multiple sources to generate business insights.
• Design and improve reporting solutions and decision-support tools.
• Build and automate ETL processes using Python and SQL.
• Monitor data quality and governance practices.
• Create dashboards and data visualizations using Power BI or Tableau.
• Define, track, and analyze KPIs related to business performance.
• Collaborate with cross-functional teams to improve operations.

Skills

Years experience

Python

SQL

Power BI

Tableau

Data mining

Excel

Data analytics

Statistics

Tools

Power BI

Tableau

ETL

Data Warehousing

Job description

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.