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Tech Stack
Tools & technologiesAirflowPySparkPythonSQLTableau
About the role
Key responsibilities & impact- Analyse and process large datasets
- Extract meaningful insights from data and translate them into concrete business recommendations
- Build and develop analytical solutions supporting business decision-making
- Create clear data visualisations and dashboards
- Independently manage analytical projects from planning through delivery
- Work with multiple stakeholders across business and technology teams
- Translate business needs into analytical questions and data-driven solutions
- Communicate findings and recommendations clearly to non-technical stakeholders
Requirements
What you’ll need- Minimum 4 years of professional experience in data analytics
- Hands-on experience working with large datasets
- Strong SQL skills
- Practical experience with Python and/or PySpark
- Experience with data processing / workflow tools such as Airflow
- Experience with Tableau, Looker Studio and/or Power BI
- Strong analytical skills and ability to draw relevant conclusions from complex datasets
- Ability to translate analysis into specific business recommendations
- Ability to independently plan and deliver analytical projects
- Proactive approach and strong ownership
- Experience working with multiple stakeholders
- Ability to connect technical/data topics with business requirements
- Good spoken and written English
Benefits
Comp & perks- Solid, competitive salary
- Work in a multinational environment on international projects
- Comprehensive healthcare
- Long-term B2B contract with a stable project pipeline