Data Analyst

SCIENTE; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading financial organization seeks an enthusiastic Data Analyst for its Analytics and Innovation team. The role involves data extraction, transformation, and visualization responsibilities, requiring expertise in ETL tools and strong analytical skills. Candidates should possess a relevant degree and have 2-3 years of experience in data analysis, aiming to improve data collection processes and support key initiatives. Interested applicants are encouraged to apply via email.

Qualifications

• 2-3 years experience in Data Analysis.
• Experience in ETL processes and data visualization tools.
• Strong communication skills.

Responsibilities

• Manage initiative activities and report to stakeholders.
• Design and maintain data pipelines from various sources.
• Ensure data integrity and preprocess for analysis.

Skills

Data Extraction

ETL Tools

Qlik View

Qlik Sense

Data Visualization

Python Libraries

Communication Skills

Education

Diploma or Degree in Computer Science

Degree in Information Systems

Degree in Data Science

Tools

Tableau

Power BI

Job description

Job Summary

We are looking for an enthusiastic Data Analyst to work on projects for Analytics and Innovation team (AI) within a large financial organization.

Mandatory Skill-set

• Must Have Diploma or Degree in Computer Science, Information Systems, Data Science or equivalent;
• Must have 2-3 Years of experience in Data Analysis Such as data extraction, transformation, and manipulation such as ETL Tools;
• Must have experience in Qlik view or Qlik Sense, for Data and dashboard reporting;
• Must be expertise in building and maintaining ETL (Extract, Transform, Load) processes that are scalable, efficient, and error-free;
• Must have exposure in Developing dashboards with detail drilldowns, threshold gauges, alerting mechanisms and populate report;
• Ensure documentation of processes, analytics design, measure definitions, data integration and development;;
• Must be responsible for test planning, creation, execution defects management and regular status reporting;
• Able to Perform deployment for dashboards or backend data related new build or change requests;
• Must be experience with data visualization tools such as Tableau, Power BI, or libraries in Python (e.g., Matplotlib, Seaborn);
• Strong written and verbal communication skills.

Desired Skill-set

• Experience with agile methodologies or similar frameworks preferably if Product Related to Securities/Assest Management or at least Financial Product.

Responsibilities

• Manage and report on initiative activities and identify issues affecting the performance outcomes of initiative to key stakeholders;
• Design, build, and maintain robust data pipelines that efficiently transport data from various sources to the storage systems;
• Improve data collection processes to capture more relevant, clean, and useful data for analysis;
• Cleanse and preprocess raw data to ensure it is accurate, complete, and in the right format for analysis;
• Perform data validation to ensure the integrity of the dataset and handle any inconsistencies;
• Support the operationalization of data systems, ensuring that data flows seamlessly from collection through processing and storage;
• Work closely with data scientists, software engineers, and business analysts to understand data needs and deliver suitable solutions;
• Provide support in troubleshooting issues, optimizing processes, and continuously improving system performance.

Should you be interested in this career opportunity, please send in your updated resume to [e-mail] at the earliest.

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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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