Snaphunt Pte Ltd – Data Analyst

• Work alongside & learn from best in class talent
• Great work environment
• Opportunity to make a positive impact

The Job

Your responsibilities will include:

• Documentation, Reporting, Root Cause analysis of Prediction issues.
• Analyze ingested and system-generated data for anomalies and gaps.
• Refer to various data sources to plug those gaps.
• Create data stories and come up with possible solutions in terms of QA process flow change and/or automation. Own the subsequent plan and execution.
• Automation of Performance/Accuracy review processes, report generation, data visualization using Python, SQL.
• Support engineering and data science teams in system-level data fixes. Understand how the engine makes predictions, explore possible improvements in the process by fixing/introducing new data/features.
• Support the customer operations, marketing team in getting insights from the data, such as performance, accuracy metrics, impact of real-time events, etc. as required.
• Maintain, own internal and customer dashboards based on the trial/account requirements (e.g. prediction accuracy, timeliness, coverage, explainability).

Ideal Candidate

• Bachelor's or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Prior experience in data analysis or data analyst roles, preferably in a startup environment.
• Exceptionally skilled in Python and SQL, with a demonstrated ability to consistently produce reusable and highly scalable code.
• An eye for detail: Looking for anomalies in the system.
• Familiarity with Linux, GitHub, product development.
• Proven experience with data visualization.
• Empathy and Urgency: to feel the customer pain and react promptly on a day-to-day basis
• A Problem solver & go-getter: either programmatically or manually meeting customer expectations and delivering on time.
• Fluent with written and verbal in English to be able to effectively liaise with stakeholders in the region.
• Strong ownership mindset, efficiency, and data-driven approach.
• Good to have: basic understanding of machine learning algorithms.

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