The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

Job Description
• Be responsible to structure Analytics Engineering chapter across Data & Analytics team squads, evangelizing the team members on its practices, processes and projects;
• Develop, lead and implement analytics engineering projects roadmap partnering with peers and stakeholders to define technical/functional requirements for data solutions;
• Design and… implement scalable data pipelines for collecting, processing and storing large and complex data sets;
• Assess, develop and maintain data solutions across different squads, ensuring assets availability, scalability, and sustainability, leveraging available big data technologies when necessary;
• Mentor and coach team members on technical skills and best practices for analytics engineering;
• Be the bridge between Data & Analytics team and regional stakeholders and promote alignment for Data Environment Projects and Data Platform Products;
• Lead the development and implementation of data management and data quality control processes and procedures;
• Establish frequent alignment with regional stakeholders on data environment, data platform, data products and projects, helping to continuously improve it.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
• Experience in analytics engineering, data engineering, or related fields;
• Experience leading analytics engineering projects;
• Strong understanding of data management, data quality control, and data processing technologies;
• Strong coding skills in Python, Pyspark or other relevant languages;
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka;
• Excellent communication and interpersonal skills to work with stakeholders at different levels;
• Ability to work in a fast-paced environment and manage multiple priorities simultaneously;
• Proven ability to mentor and coach team members to improve technical skills and best practices


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