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Contract: 4-Months
Linkedin profile required
We’re seeking an experienced Data Analyst with a strong background in banking to design, build, and optimize data models and analytics solutions. The ideal candidate has hands-on experience with SQL, data warehousing, ETL, and Power BI, and is passionate about turning complex data into clear, actionable insights that drive business decisions.
Key Responsibilities
- Design, develop, and maintain data models and schemas to support BI and analytics initiatives.
 - Use SQL to query, transform, and optimize large datasets for reporting and analysis.
 - Build and enhance Power BI dashboards and reports, applying UX and visualization best practices.
 - Develop and manage ETL processes to ensure data integrity and consistency across systems.
 - Collaborate with stakeholders to gather requirements, define KPIs, and deliver meaningful insights.
 - Apply data warehousing concepts (dimensional modeling, star/snowflake schemas) to structure data efficiently.
 - Partner with data engineers and analysts to ensure smooth integration and reporting workflows.
 - Identify and resolve data quality issues and drive continuous process improvement. 
 
- Banking industry experience is required.
 - Strong SQL proficiency with proven experience in data modeling and schema design.
 - Deep understanding of data warehousing concepts (star/snowflake schemas, dimensional modeling).
 - Hands-on experience developing Power BI dashboards and visual analytics.
 - Solid ETL experience (Alteryx preferred but not required).
 - Proven ability to manipulate and optimize large datasets for analytics.
 - Strong communication skills for stakeholder engagement and presentations.
 - Excellent analytical and problem-solving abilities with attention to detail. 
 
- Experience working in cross-functional data environments.
 - Familiarity with other data visualization or ETL tools.
 - Background in business analysis, data engineering, or analytics consulting.
 
Key Skills
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