Finance Data Analyst - ETL & BI Specialist (Hybrid)

Hammerjack Pty Ltd; Philippines; On-site; PHP 600,000 - 900,000; Full time

Benefits offered by this job

Competitive pay

Pension scheme

Wellbeing benefits

Flexible working

Training & development

Job summary

IQ-EQ is seeking an experienced ETL data preparer in the Philippines to handle routine ETL tasks, pre‑validation, and drafting inputs for senior review. You will work with data sources, ensure accuracy, and continuously improve processes.

The role requires data processing, MS SQL/Data Warehouse concepts, and strong Excel/Power BI skills, with collaboration across internal teams to deliver precise outputs.

Qualifications

• Bachelor's degree in Mathematics, Computer Science, Information Systems, Engineering, Accounting, Finance, or a related field
• Minimum 3 years of experience in data analysis, ETL, and data visualization (Tableau/Power BI)
• Strong Excel skills and experience with dashboards and data integrity
• Proficient in MS SQL/Data Warehouse concepts
• Excellent communication, organizational and prioritization skills

Responsibilities

• ETL activities across routine data sources, preparing, extracting, transforming, and validating data per procedures
• Prepare recurring report inputs, draft components, pre-validation and discrepancy checks, escalate issues as needed
• Maintain understanding of client requirements, coordinate with internal teams for timely deliverables
• Document exceptions, maintain reference files, follow control procedures, complete checklists and escalate risks
• Support onboarding, knowledge sharing, timesheet accuracy and participate in process improvement discussions

Skills

ETL processes

Data analysis

Tableau

Power BI

VBA

MS SQL

Data warehousing

Excel

Education

Bachelor's degree

Job description

IQ-EQ is seeking an experienced ETL data preparer in the Philippines to handle routine ETL tasks, pre‑validation, and drafting inputs for senior review. You will work with data sources, ensure accuracy, and continuously improve processes.

The role requires data processing, MS SQL/Data Warehouse concepts, and strong Excel/Power BI skills, with collaboration across internal teams to deliver precise outputs.