Power BI Data Analyst — Logistics Insights & Dashboards

MUVE Logistics Support Services; Taguig; Hybrid; PHP 350,000 - 650,000; Full time

Benefits offered by this job

HMO with 1 free dependent

Generous paid time off and sick leave

Opportunities for career development

Team-building activities and social

Job summary

MUVE Logistics Support Services seeks a proficient Data Analyst to join our team in Bonifacio Global City, Taguig. In this full-time role, you will drive data-driven insights to improve logistics operations and support strategic objectives.

You will develop Power BI dashboards, model data, and collaborate with multiple departments to translate complex data into clear business recommendations for leadership.

Qualifications

• Minimum of 3+ years of professional experience in data analyst/BI analyst or similar data-driven role.
• Advanced proficiency in Microsoft Power BI (DAX, Power Query, and data modeling) is required.
• Strong skills in SQL, Excel, or similar tools for data cleaning, preparation, and analysis.
• Proven experience combining disparate internal data systems with external market or third-party data sets.

Responsibilities

• Analyze internal data tracking systems to identify trends, patterns, and anomalies.
• Source, clean, and merge external data sets with internal company data for multi-dimensional analyses.
• Create and maintain Power BI dashboards and reports for leadership review.
• Collaborate with stakeholders to gather data requirements and translate them into technical reports.
• Support multiple departments with data visualization and reporting as a centralized data resource.

Skills

Power BI

SQL

Excel

Data modeling

Data cleaning

Job description

MUVE Logistics Support Services seeks a proficient Data Analyst to join our team in Bonifacio Global City, Taguig. In this full-time role, you will drive data-driven insights to improve logistics operations and support strategic objectives.

You will develop Power BI dashboards, model data, and collaborate with multiple departments to translate complex data into clear business recommendations for leadership.