Senior Data Analyst
Job Summary
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.
Qualifications :
- 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.
Remote Work :
No
Employment Type :
Full-time
About Company
Inetum is a European leader in digital services. Inetums team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetums solutions aim at contributing to its clients performance and innovation as well ... View more