L3 Business Intelligence Analyst

New York Global Consultants Inc. (NYGCI)

Muntinlupa

Hybrid

PHP 1,004,000 - 1,562,000

Part time

5 hours ago
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Job summary

New York Global Consultants Inc. (NYGCI) seeks an L3 Business Intelligence Analyst in Alabang, Muntinlupa, on a hybrid schedule (3 days on-site, 2 days remote).

This six-month contract role offers extension and focuses on BI and data analytics to support enterprise reporting and decision making. You will bring strong SQL, experience with Databricks and Python, and familiarity with Azure Data Factory, Qlik or SAP BO.

Qualifications

  • Strong SQL development experience with SQL-based databases (SSMS or equivalent).
  • Experience with BI analytics and data platforms (Databricks, Python).
  • Familiarity with Azure Data Factory or similar data integration tools.
  • Experience building BI reports/dashboards using Qlik or SAP BO.
  • Understanding of data modeling, dimensional modeling, and star schemas.
  • Ability to analyze, transform, and validate large datasets for reporting.

Responsibilities

  • Design, develop, and maintain BI reports and dashboards.
  • Support and optimize production BI environments and data pipelines.
  • Collaborate with data engineers, analysts, and business users.
  • Mentor engineers and participate in technical discussions and RCA.

Skills

SQL development
BI analytics
Data modeling
Dimensional modeling
Star schema
Mentoring engineers
Root cause analysis
Stakeholder communication
Production support
Analytical thinking

Tools

Databricks
Python
Azure Data Factory
SSMS
Qlik
SAP BusinessObjects

Job description

Job Title: L3 Business Intelligence Analyst

Location: Alabang, Muntinlupa (3 times a week RTO -Hybrid)

Mode of Hiring: Contract (6 months Extendable)

Shift: MID

Job Description:
Required Skills & Experience
Business Intelligence & Data Platforms
  • Strong experience working in Business Intelligence and Data Analytics environments
  • Strong SQL development skills and experience working with SQL-based databases (e.g., SSMS or similar tools)
  • Experience working with modern data platforms such as Databricks and python
  • Experience with Azure Data Factory (ADF) or similar data integration / orchestration tools
  • Experience developing and supporting BI reports and dashboards using tools such as Qlik or SAP BusinessObjects
  • Experience analyzing, transforming, and validating large datasets for reporting and analytics
  • Understanding of data modeling concepts, including dimensional modeling and star schema design
Reporting & BI Tools
  • Experience designing or maintaining semantic layers / universes using Information Design Tool (IDT) or similar tools
  • Familiarity with Central Management Console (CMC) or equivalent BI platform administration tools
  • Experience supporting enterprise BI production environments
  • Experience in Microsoft Office (Excel)
  • Experience working with ETL/ELT processes and data pipelines
  • Understanding of data integration patterns between enterprise systems and analytics platforms
  • Ability to troubleshoot data issues, performance problems, and reporting discrepancies
Collaboration & Technical Leadership
  • Experience mentoring engineers or supporting technical initiatives
  • Ability to participate in technical discussions, troubleshooting, and root cause analysis
  • Experience working in production support environments
Nice to Have
  • Knowledge or experience with SAP BW / BW on HANA (BWHANA) data modeling or reporting
Soft Skills
  • Ability to communicate technical findings clearly to stakeholders
  • Comfortable working in fast-paced production support environments
  • Strong ownership mindset in building and maintaining reliable BI solutions
  • Ability to collaborate with cross-functional teams (data engineers, analysts, and business users)
  • Strong analytical and problem-solving skills with the ability to perform deep investigation
  • and root cause analysis of data and system issues
  • Willingness to work in both development and production support environments
  • Ability to analyze complex data issues, identify root causes, and implement sustainable solutions
  • Comfortable handling incident troubleshooting, issue resolution, and continuous improvement
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