Senior Executive – Business Intelligence- Publicis Media, Dubai UAE
Job Description
Role Responsibility:
The BI professional role at Publicis Data Sciences is someone who would be in charge of developing, deploying, and maintaining Business Intelligence solutions.
The candidate must be capable of illustrating the benefits of Business Intelligence initiatives to clients, and must be capable of simplifying technical aspects of BI solutions for non-technical audience.
The right candidate will preferably have experience working in the advertising operations field, with Media Ad Management Platforms, CRM Platforms, and Website Analytics Platforms.
Main Tasks:
Design and implement data integration and Business Intelligence solutions in line with delivery requirements
Engage with clients and media teams to capture project requirements and translate them into scope of work documents for clients
Manage end-user reporting, analytics and dashboard frameworks from requirement definition through to end user deployment
Transform complex data models into clean, aesthetically beautiful reports that promote clear story-telling and data-based decision-making
Work with agency teams to ensure that data integration and Business Intelligence solutions drive key business insights and planning effectiveness
Qualifications
2-3 years of experience in a role focused on market research or consumer insights.
Degree level qualification in Computer Science, Information Technology, BI, or a related discipline
Hands on experience in delivering multiple complex data integration and BI projects
Experience with developing software code in one or more languages such as R or Python
Strong command of SQL language
Hands on experience in one or more BI tools such as Power BI, Tableau, Domo, or Datorama
Strong technical skills in ETL development, data architecture and BI solution design
Demonstrable understanding of data analysis techniques and processes
Demonstrable use cases of end-to-end reporting solutions delivered
Familiarity with the software development lifecycle
Understanding of database architectures, distributed systems, data warehousing schemas, BI tools and big data technologies
Hands on GCP Cloud data implementation projects experience (Dataflow, Cloud Composer, Big Query, Cloud Storage etc.) is a plus
Hands on Azure data implementation projects experience is a plus
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