Job description

Snaphunt Pte. Ltd.
Data Analyst (Python)
Date Listed
24 Sep 2021
Job Type
Experienced / Senior Executive
Job Period
Immediate Start, Permanent
IT / Information Technology
Location Name
Allowance / Remuneration
$1,000 - 2,000 monthly
Company Profile

Our client has a proven track record with continuous strong growth for more than 20 years. Expertise in project management, business analysis, system design & development, software testing in the Banking and Finance industry

Job Description
  • Attractive salary & benefits
  • Opportunity to make a positive impact
  • Work alongside & learn from best in class talent

The Job

As a Data Analyst (Python), you'd be responsible for:

  • Providing solutions by developing scripts (python or equivalent) to automate current manual processes issues faced by business users
  • Being instrumental in the problem decomposition and objective supported with data analysis, leading to design, develop and deploy solutions
  • Working closely with multiple stakeholders such as the business subject matter experts, technology partners, and product owner to understand problems, document, and formulate the logic and codes used for scripts.
  • Backing test on accuracy of the logic with clear test scenarios and using historical, including the necessary data extraction and transformation.
  • Ensuring documentation and traceability of requirements and, process flow diagrams, and other project documents.
  • Involving in providing ad hoc analysis, insights, and building and maintaining data-driven MIS, reporting, and machine learning solutions, as well as visualizations.

The Profile

  • You are strong grounding in scripting/coding skills using Python or equivalent is a must
  • You are practical and demonstrable exposure and skills in using Visualization tools such as Tableau and Qlik
  • You have knowledge of SQL and data modeling is preferred.
  • You have experienced working in Unix and Linux environments would be preferred
  • You have basic proficiency in statistical analysis, data mining, machine learning, and working with large-scale datasets.
  • You have excellent skills in Microsoft Excel, MS Access, and VBA preferred
  • You possess a university degree or higher in Computing, data mining, or related quantitative discipline.
  • You have a 2 years relevant working experience
  • You are excellent at communications skills, able to engage stakeholders across levels. Proven ability in developing reusable codes, business analysis and problem-solving
  • You have experience in bank operations in Treasury preferred but not compulsory.


Application Instructions
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