Junior Banking Data Analyst | SQL & Python

Sciente International Pte Ltd

Singapore

On-site

SGD 33,480 - 55,800

Full time

14 days+

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Job summary

Sciente International Pte Ltd is seeking a junior data/analytics professional to analyze banking data using SQL and Python, support data architecture and reporting, and work with users to gather requirements and resolve issues.

The role focuses on data investigation, profiling, mapping, and end-to-end UAT, with exposure to data warehouses and BI tools. Strong communication and independent work style are essential.

Qualifications

  • Strong knowledge of SQL and Python.
  • Proficiency in Microsoft Excel, Word, and PowerPoint.
  • Good analytical and problem-solving skills.
  • Ability to work independently with users for requirements gathering and issue investigation.
  • Strong communication and interpersonal skills.
  • Basic understanding of banking products.

Responsibilities

  • Gathering and documenting business requirements and functional specifications on data related initiatives;
  • Perform data investigation and data analysis to support bank-wide users queries;
  • Perform data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation;
  • Provide end-to-end project delivery support, including requirements walkthrough, user acceptance testing;
  • Execute data analysis and data investigation;
  • Conduct end-to-end User Acceptance Test (UAT) process;
  • Manage business glossary and dashboards for review and analytical purposes;
  • Assist the entire project implementations.

Skills

SQL
Python
Excel
Analytical thinking
Requirements gathering
Communication
Banking knowledge

Tools

Hadoop
Qlik Sense
Hue

Job description

Sciente International Pte Ltd is seeking a junior data/analytics professional to analyze banking data using SQL and Python, support data architecture and reporting, and work with users to gather requirements and resolve issues.

The role focuses on data investigation, profiling, mapping, and end-to-end UAT, with exposure to data warehouses and BI tools. Strong communication and independent work style are essential.

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