General
We are looking for experienced Data Analysts to turn complex business needs into trusted data, clear insights and scalable reporting in large enterprise environments.
Responsibilities/Activities
- Analyse complex datasets and turn findings into clear business insights and recommendations
- Gather business needs and translate them into data requirements, mappings and functional or technical specifications
- Write and optimise SQL queries for data extraction, validation, reconciliation and analysis
- Work with Data Engineers on ETL/ELT flows, source-to-target mappings, data models and reporting datasets
- Build or support dashboards, reports and self-service BI solutions for business users
- Define data quality checks, investigate inconsistencies and support data lineage and governance activities
- Support testing and UAT and keep data definitions, business rules and documentation up to date
- Work closely with business, BI, Data Engineering and IT teams in Agile or hybrid environments
Requirements
Technical
- At least 4 years of experience in a Data Analyst, Business Data Analyst, BI Analyst or data-focused Business/System Analyst role
- Strong SQL skills and hands-on experience working with relational databases and large datasets
- Good understanding of Data Warehouses, Data Lakes/Lakehouses, ETL/ELT, data modelling and data integration
- Experience with Power BI / Qlik / Tableau or similar reporting and BI tools
- Experience with data quality, validation, reconciliation, lineage or governance concepts
- Ability to translate business needs into clear data and technical requirements
Education
- Bachelor’s degree in Computer Science, Software Engineering or a related field, or equivalent practical experience.
Others
- Good English communication skills
- Strong analytical thinking, attention to detail and a practical problem-solving mindset
- Comfortable working between business and technical teams and taking ownership of assigned topics
- Adaptability in a dynamic and evolving environment.
Nice to have requirements
- Experience with Databricks, Snowflake, Microsoft Fabric, Azure Data Factory, AWS Redshift or similar cloud data platforms
- Experience with Data Warehouse, Data Platform or reporting transformation programmes
- Python or R for analysis and automation
- Background in banking, finance, insurance or other enterprise environments
- Agile/Scrum experience and exposure to international teams