Location
D16 Upper East Coast, Bedok, Eastwood, Kew Drive
Job Type
Full-time
Experience
Mid
Category
General
Salary
$3,000 - $5,000
Posted
2 weeks ago
Expires
May 28, 2026
Views
7

Job Details

Vacancies

1 position

Experience Required

No experience required

Job Description

Job Summary

We are seeking a hands-on Data Analyst to support the Enterprise Management project within a renowned organization. This role is critical in ensuring data accuracy, reliability, and usability for business consumption.
Mandatory Skills

  • Degree in Information Technology, Computer Science, Data Science, or a related field;
  • Must have 3–5 years of hands-on experience in data analysis;
  • Must have strong SQL skills for data profiling and analysis;
  • Experience with data quality tools or frameworks;
  • Solid statistical analysis capabilities;
  • Experience with data visualization tools (Power BI, Tableau);
  • Excellent written and verbal communication skills.

Desired Skill sets

  • Experience with Python and/or R for data analysis;
  • Hands-on experience with Power BI;
  • Knowledge of data quality frameworks and best practices.

Responsibilities

  • Perform comprehensive profiling of incoming source data (e.g., ServiceNow, Tenable, SailPoint) to understand structure, completeness, and integrity;
  • Identify and analyze data quality issues, anomalies, and patterns, providing actionable insights;
  • Document data characteristics and establish baseline metrics for data quality;
  • Design and develop comprehensive data quality (DQ) test suites aligned with business rules and data governance standards;
  • Define thresholds, validation rules, and acceptance criteria to ensure data reliability and accuracy;
  • Design, develop, and maintain interactive dashboards using Power BI to visualize data quality metrics;
  • Ensure dashboards effectively communicate insights and support decision-making;
  • Collaborate with data engineers to implement and operationalize data quality tests within data pipelines;
  • Develop monitoring dashboards to track ongoing data health and quality performance;
  • Establish automated alerting mechanisms to promptly detect and address critical data quality failures;
  • Document data quality test cases, methodologies, and validation results in a clear and structured manner;
  • Produce regular (daily/weekly) data quality reports for stakeholders;
  • Maintain data quality issue logs and track resolution progress to closure.

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

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

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

EA Licence No. 07C5639

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SCIENTE INTERNATIONAL PTE. LTD.

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