Senior Data Analyst (Tableau / Python) - Toa Payoh

We are seeking an experienced Senior Data Analyst to join our dynamic Data Science Team. In this role, you will apply your analytical expertise to develop and deliver dashboard products that meet business requirements. Collaborating closely with data scientists, product managers, and data engineers, you will extract actionable insights from data, ensuring timely and accurate presentation in dashboard formats.

• Working Hours: Mon-Fri
• Working Location: Central
• Salary Package: Up to $7800 (basic) + AWS + VB

Key Responsibilities:

• Collaborate with product managers to understand and prioritize analytical needs, identify key performance indicators (KPIs), and deliver actionable insights to decision-makers.
• Proactively define and enhance data collection and analysis processes based on business use cases to address stakeholder questions.
• Create and maintain web-based interactive visualizations by interpreting data and integrating multiple data sources into comprehensive reporting components.
• Define and implement data acquisition and integration logic, selecting the best methods and tools to optimize solution scalability and performance.
• Develop best-practice reports and dashboards based on data analysis, mining, and visualization principles.
• Recommend and implement strategies to enhance data quality, readiness, flexibility, and efficiency.

Key Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Economics, or Information Management.
• A minimum of 4 years of experience as a Data Analyst or BI Developer, with a focus on analytics, data mining, data visualization, A/B testing, and segmentation techniques.
• Hands-on experience in analyzing data in both structured and unstructured formats.
• Proficiency in creating comprehensive reports and building web-based interactive dashboards.
• Ability to derive and interpret critical metrics to improve product functionality and user experience.
• Advanced programming skills in SQL and Python/R packages for analytics and machine learning.
• Strong analytical abilities with a keen attention to detail and accuracy in handling large datasets.
• Experience as a Tableau Administrator is an added advantage.

Join our team and contribute to driving data-driven decisions that enhance our products and services!

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