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.