Monetization Strategy & Operations - Analytics Engineer

de operational excellence for our APAC business.
Responsibilities:

• Work closely with analysts and end users to develop data models, pipelines and data assets that will support a wide variety of use cases, from reporting to analysis and machine learning
• Ensure that the technical solutions provided by the data stack are driving optimal value toward business initiatives
• Build and maintain a high-quality data infrastructure that enables end users from across the organization to access timely and accurate data on a self-serve basis
• Harness the power of data by treating it as a product, and empower the MSO team to derive impactful insights and drive business success
• Work closely with data engineers/solutions teams to ingest more complex data points as the business evolves
• Develop new features or frameworks that support the automation of crucial MSO processes; champion efficiency to improve everyone's day-to-day
• Document data flows, definitions & data assets; serve as the steward of our organizational knowledge
• Establish data quality rules, standards & metrics; ensuring the health of our data operations
• Enable insights from an outsider's perspective to give a comprehensive view of business performance

Qualifications

Minimum Qualifications

• A Bachelor's Degree or equivalent qualification in a quantitative field such as Computer Science, Engineering, Mathematics, Economics, or Analytics, or relevant professional experience where applicable.
• Minimum 5 years of experience in data engineering / analytics-related roles, with a preference for experience within the Tech industry
• Strong Proficiency in SQL is a requirement; a background in Python would be a distinct advantage

Preferred Qualifications:

• Strong intellectual curiosity with the ability to structure complex issues to generate value with minimal supervision
• Exceptional attention to detail with strong organizational skills and the ability to see the big picture
• Fast learner, with a willingness to delve into the root cause of problems
• Must have the combination of technical skills, enthusiasm for continuous learning, and interpersonal skills for effective collaboration with cross-functional teams