Senior Data Analyst

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
 
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
 
From prototype to real-world impact - be part of a global shift by doing work that matters.

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. 

Work across a variety of industries and projects, acting as the bridge between business stakeholders and data engineering teams to translate business needs into scalable data solutions.

Responsibilities:

• Plan and conduct the Data Discovery phase.
• Discovers and elicits business and data requirements and reviews the BI architecture.
• Proficient in applying Big Data, DWH, and Data Lake concepts to support specific business functions or processes.
• Analyze data sources and document the requirements in artifacts such as data flow diagrams, entity relationship diagrams, and user stories.
• Identify data quality and data consistency issues and propose solutions.
• Design the functional solution, translate business requirements into functional descriptions, and define the conceptual and logical data model.
• Define data ingestion, validation, cleaning, processing, and ETL requirements.
• Apply required data modeling and analysis tools, methods, and standards, like data dictionary, data lineage, source to target mapping.
• Bridges the gap between business-related matters and their technical implementation through refinement and clarification of requirements.

## Qualifications

• Ability to translate complex data into clear, actionable insights for technical and business stakeholders
• Experience using data visualization tools and SQL-based data platforms to develop analytical solutions
• Proficient in SDLC (Planned Iterative, Agile).
• Excellent spoken and written English language skills.
• Solid experience in large international projects working with multicultural teams.

## Additional Information

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.