We are seeking a skilled Data Intelligence Analyst to join our team. The ideal candidate should have solid data literacy, project management, and communication skills.
This exciting role will be a key member of a motivated and high-profile team working on cutting-edge solutions. You would be involved not only in managing client data intelligence dashboarding solutions end to end, but also very much be a part of the product development itself, including our already successful adoption of AI technologies into our processes.
The candidate should possess strong data processing skills and technical capability. Additionally, the role will eventually directly manage projects for major multinational clients around the world, for which a knowledge of the digital media industry is an advantage. The candidate should also be comfortable with working with both internal and external contacts, including the ability to liaise and present to non-technical stakeholders.
Responsibilities:
Data Literacy & Expertise:
- Build and manage data reporting solutions using one of the following BI solutions like Looker Studio, Tableau, and Power BI.
- Analyse complex distributed production deployments in Google Cloud Platform and share recommendations to optimize performance.
- Interpret and analyse large data sets using SQL and Python.
- Provide analytical assistance in designing, testing, evaluating, implementing, measuring, and monitoring projects.
- Ensure compliance with data management and data governance regulations and policies.
Project Management:
- Actively participate in competitive intelligence roadmap discussions and prioritize analysis requests.
- Create and deliver data outputs, customized reports, ad hoc analyses, and data visualizations to support new business pitches across the region.
- Assist in managing and prioritizing multiple projects while maintaining necessary process documents and procedures to ensure data accuracy.
- Organized, detail-oriented, and QA-focused approach to work.
Networking:
- Build strong working relationships with clients, vendors, and internal stakeholders across the region.
- Should actively participate in managing client requirements, maintaining SLAs & SOWs documentation, and team deliverables.
- One should be self-motivated to identify new business opportunities and look for opportunities to improve existing client relationships.