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. 

As a Senior Data Analyst at Endava you are responsible for extracting meaningful information from a large pool of data, gathering data, analysing the trends in the market, identifying, and documenting the requirements of their clients and make data-driven decisions for the organization’s success

Responsibilities:

• Plan and conduct the Data Discovery phase.
• Discovers and elicits business and data requirements and reviews the BI architecture.
• Assists the Product Owner in iteration/release planning and prioritization of the backlog.
• 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.

• Demonstrated experience in Storytelling with data. 
• Proficient in Power BI.
• Proficient in SDLC (Planned Iterative, Agile).
• Solid understanding of SQL.
• Solid understanding of programming languages.
• Solid knowledge of big data technologies.
• Solid experience in large international projects working with multicultural teams.
• Well versed in AWS services
• Excellent spoken and written English language skills.

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;  
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

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