Data Analyst

1 week ago

Makati City, National Capital Region, Philippines Relay Human Cloud Full time ₱900,000 - ₱1,200,000 per year

About the Role

We are seeking a detail-oriented and technically proficient
Data Analyst
to join our growing team. In this role, you will work closely with business stakeholders and technical teams to transform complex, messy data into clean, structured insights. Your expertise in
Power Query
,
Power BI
, and
Excel
will be crucial in driving data-driven decision-making across our client projects.

Key Responsibilities

  • Transform and clean data using
    Power Query
    from multiple sources (Excel, SharePoint, APIs)
  • Design and develop scalable, performant
    Power BI data models
    (star schema, normalization, etc.)
  • Create DAX measures and calculated columns for business reporting and analysis
  • Optimize Excel data preparation for seamless integration with Power BI workflows
  • Work within the
    Power BI Service
    ecosystem: workspace management, dataset refreshes, publishing reports
  • Troubleshoot and validate data issues with strong analytical problem-solving
  • Connect to diverse data sources, including SharePoint and basic web APIs
  • Contribute to process improvements and documentation for data pipelines

Required Qualifications

  • Proficiency in Power Query
    (M language): shaping, cleaning, and transforming data
  • Solid understanding of
    data modeling principles
    and best practices for Power BI
  • Intermediate DAX
    knowledge: CALCULATE, context transitions, time intelligence
  • Advanced Excel capabilities for data structuring and transformation
  • Familiarity with
    Power BI Service
    features, including dataset refresh and workspace use
  • Experience connecting to SharePoint lists/files and web APIs
  • Strong analytical mindset and attention to data integrity
  • Willingness to work onsite during night shift hours (between 9:00 PM – 11:00 PM).

Preferred Qualifications

  • Experience using
    SQL
    to query and analyze relational databases
  • Familiarity with
    Python (Pandas)
    for advanced data manipulation and automation

Why Join Us?

Competitive salary and benefits

Dynamic, supportive, and collaborative work environment

Opportunities for career growth

Exposure to global operations and US-based stakeholders

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