Data Manager

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.

●     Act as a regional data resource, supporting multiple markets and ensuring consistency in reporting standards, methodologies, and best practices across teams.

●     Support the development of scalable data frameworks and automation processes that improve efficiency and data accessibility for regional stakeholders.

●     Contribute to mentoring junior analysts or data specialists, helping to strengthen team capability and data literacy within the organization.

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.

●     Support regional project coordination, ensuring timely delivery of analytical outputs across different markets and stakeholders.

●     Work closely with senior leadership to translate business needs into data solutions and actionable insights.

●     Help guide and review analytical outputs from team members, ensuring quality, consistency, and alignment with business objectives.

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.

●     Collaborate with regional teams to drive cross-market knowledge sharing, data innovation, and best practices in analytics and reporting.

●     Act as a bridge between data, strategy, and client teams, ensuring insights are clearly communicated and effectively applied to business decisions.

• English is mandatory
• Minimum 6 years of experience in data processing, data engineering, ETL using SQL, and automation using programming languages like Python.
• Experience working with regional teams or multi-market projects in the Asia Pacific market is preferred.
• Knowledge of scripting and programming in HTML, CSS, and JavaScript is an added plus.
• Experience in BI technologies like Google Looker Studio, Tableau, and Power BI is a must, with intermediate-level skills.
• Hands-on experience in data integration and manipulation using SQL, BigQuery, and Python. Familiarity with GCP is an added plus.
• Familiarity with media research systems such as Netbase, Brandwatch, SimilarWeb, and SemRush is preferred.
• Advanced level user in Excel and PowerPoint: pivot tables, charts, v-lookups, and dashboard creation.
• A basic understanding of statistical analysis and research methodologies.
• Familiarity with media performance analytics and reporting would be an added plus.
• Self-starter, highly motivated, and proactive.
• Highly organized, able to multi-task, and set priorities.
• Possess a desire to work for a high-profile, results-based team.
• Interested in real-world application of AI in Media Environment