Data Analyst at ELLIOTT MOSS CONSULTING PTE LTD
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

31 Oct, 25

Salary

8000.0

Posted On

01 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Reporting, Performance Tuning, Oracle, Data Manipulation, Development Tools, Oracle Database, Qlik Sense, Sas, Pipeline Development

Industry

Information Technology/IT

Description

JOB DESCRIPTION:

We are seeking a skilled and detail-oriented Data Engineer / BI Developer with strong expertise in Oracle database development and dashboard reporting (preferably using Qlik Sense or Tableau). The ideal candidate will have a strong analytical mindset and a proven ability to translate complex data into meaningful insights that support business decision-making.

MUST-HAVE SKILLS:

  • Strong proficiency in Oracle database stored procedures and SQL scripting.
  • Hands-on experience with dashboard/reporting tools, especially Qlik Sense (preferred) or Tableau.
  • Solid analytical and problem-solving skills.
  • Strong acumen in data analysis and interpretation.
  • Good understanding of Oracle DB query optimization and performance tuning.

GOOD-TO-HAVE SKILLS:

  • Familiarity with Agile methodology and development tools related to SDLC.
  • Working knowledge of SAS (Statistical Analysis System) for data manipulation and reporting.
  • Experience in Python scripting for ETL and data pipeline development.
Responsibilities
  • Develop, maintain, and optimize Oracle database stored procedures to support business intelligence, analytics, and reporting needs.
  • Design, build, and manage interactive dashboards and visualizations using Qlik Sense (preferred) or Tableau.
  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Collaborate closely with business stakeholders to gather reporting requirements and translate them into scalable technical solutions.
  • Perform data validation, cleansing, and reconciliation to ensure accuracy and integrity of reports.
  • Automate routine reporting processes to enhance operational efficiency.
  • Document data models, processes, dashboards, and technical workflows for knowledge sharing and future maintenance.
  • Provide ad-hoc data analysis and reporting support to various business units as needed.
  • Work with cross-functional teams to understand data needs and recommend effective solutions.
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