Responsibilities:
- Use programming languages such as R, Python, and MS Excel VBA to perform in-depth data analysis and create automated data processing solutions.
- Expertise in managing and querying databases with SQL and Google BigQuery, ensuring data is accurate and readily available for analysis.
- Design and develop dynamic data visualizations and dashboards using Data Studio,Tableau, and SAS VA to effectively communicate data insights.
- Apply statistical and machine learning techniques, such as hypothesis testing, regression models, and cluster modelling, to analyse and predict financial trends.
- Collaborate with various teams to embed data-driven decision-making into the product development process, enhancing the functionality and market fit of our offerings.
- Lead analytical projects focused on improving the security and operational efficiency of financial transactions in the digital landscape.
Requirements:
- Master of Science degree with a strong emphasis on data analytics, equipped with a solid understanding of statistical analysis, data visualization, and machine learning principles.
- A minimum of 5 years of professional experience in database administation, database analysis or a related field, showcasing a proven ability to leverage data in driving strategic business decisions.
- Skilled in the use of programming languages (R, Python, MS Excel VBA), database technologies (SQL, Google BigQuery), and data visualization tools (Data Studio, Tableau, SAS VA).
- Experienced in the application of statistical and machine learning techniques to real-world challenges.
- Displays a strong interest in the digital finance sector, with an analytical mindset geared towards understanding and innovating within the space of emerging financial technologies.
Please submit your resume via APPLY NOW
We regret to inform that only shortlisted candidates will be notified.
EA License No. 01C4394
REG No :R1105286 (Ngiam Xinyi)
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.
