Data AI Analyst

Roles and responsibilities

• Create and deliver data platform solutions for world class clients.
  
• Closely analyze and test new components or enhancements to existing data platforms.
  
• Co-create proof of concept for new or emerging technologies with our clients.
  
• Utilize programming skills to design and build data pipelines to drive and accelerate business impact.
  
• Learn programing skills, modern frameworks, and design thinking to build portions of applications that solve our client’s business and IT challenges.
  
• Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes.
  
• Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications.
  
• Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery.
  
• Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming
  
• Work with project team members to help clients understand the performance of their business, promote data-driven decisions and design solutions to meet their business needs.
  
• Leverage our alliances with leading companies - such as Microsoft, Google, Snowflake, Informatica, among others – to drive and accelerate real business impact.
  
  
• What can you expect in the role?





• Be part of the largest, most complex enterprise scale transformations in the Middle East.
  
• Leverage your quest for knowledge to learn about every stage of the Data & AI Delivery Lifecycle
  
• Use your creativity to design and build dashboards, reports, and visual products while developing your ability to analyze data.
  
• Engage your curiosity to change the way people experience interactions with technology, each other and with companies.
  
• Display your collaborative spirit while connecting with team members to help solve complex business needs.
  
• Rely on your attention to detail while acting as a detective, looking closely at software to make sure everything’s working to specification while helping ensure data quality.

Desired candidate profile

• Bachelor’s / Master’s degree or equivalent in relevant subject areas such as Information Technology, Computer Science, Software Engineering, Data Science and similar.
  
• Strong numerical and analytical skills, capable of applying quantitative methods and approaches
  
• Basic knowledge in Data Lake / Data Warehousing / Big data tools, ETLs
  
• Very good understanding of SQL, Python, or both.
  
• Familiarity with at least one of listed platforms and modern data & analytics solutions – Azure, GCP, Oracle Cloud, Databricks, Snowflake, Informatica, Collibra etc. or equivalents.
  
• Self-motivation, proactiveness and openness to changes.
  
• Ability to make things happen and to keep deadlines.
  
• Ability to work under pressure and manage unexpected situations.
  
• Effective communication and presentation skills.
  
• Related certifications would be a plus.
  
• Excellent spoken and written command of English allowing you to collaborate in the international Accenture environment.