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
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.
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.
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