- Analyzed user behavior and trading patterns across Spot, Webproducts to track OKR progress and recommend targeted improvements.
- Developed and optimized a user growth model to manage the user lifecycle, focusing on enhancing areas such as new customer acquisition, conversion rate predictions, and churn prevention.
- Utilized comprehensive user data to deliver strategic insights that strengthened marketing initiatives and boosted campaign conversion rates in different channels.
- Integrated product and operations data by implementing advanced big data analytics and modeling solutions, improving both product experience and overall business performance.
Requirements:
- Bachelor’s degree in Computer Science or related field.
- Experience working with high-volume datasets.
- Familiarity with performance tuning for large datasets and optimizing stored procedures.
- Knowledge of advanced data engineering concepts like partitioning, indexing, and data modeling.
Skills and Competencies:
- Strong expertise in SQL Server, MySQLdatabases.
- Proficiency in ETL tools such as SSIS, Talend, and experience in developing data pipelines.
- Hands-on experience in Data Warehouse architecture, performance optimization, and data quality validation.
- Experience working with BI tools like Tableau, QlikView, and iReport Designer.
- Strong problem-solving and analytical skills.
Interested candidates, please submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.
https://go.persolkelly.com/job/apply/9902
We regret to inform you that only shortlisted candidates will be notified.
Ngiam Xinyi | REG No : R1105286
PERSOLKELLY SINGAPORE PTE LTD | EA License No : 01C4394
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