Business Intelligence Analyst - Strategy Business Intelligence SPX Express

SPX Express; Manila; On-site; PHP 500,000 - 750,000; Full time

Job summary

SPX Express is seeking an analytics professional to provide cross‑team analytical support, maintain dashboards and scorecards, and preserve metric definitions across stakeholders. The role emphasizes understanding business context, delivering timely analyses, and documenting data sources and SQL logic for recurring outputs.

The ideal candidate has a quantitative degree and 2–5 years in analytics, with strong SQL, BI/reporting skills, and excellent communication to translate business questions

Qualifications

• Bachelor’s degree in a quantitative field or equivalent practical experience.
• 2–5 years in analytics / BI / business analysis / ops analytics
• Experience supporting multiple stakeholders or rotating across domains preferred
• Hands‑on experience building and maintaining recurring reports/scorecards and delivering ad-hoc analyses
• Strong SQL and data wrangling skills; ability to work independently with large datasets
• Strong written/verbal communication: translate ambiguous questions into clear analytical work
• Solid analytical fundamentals: descriptive analysis, driver/root‑cause analysis
• Practical BI/reporting skills (dashboards, scorecards, automated reporting) and comfort maintaining assets

Responsibilities

• Provide analytics support across multiple business teams.
• Maintain core reports, dashboards, and scorecards.
• Preserve business context and metric definitions for consistency.
• Understand context and KPIs across domains; support decision-making.
• Document data sources, SQL logic, assumptions, and known issues.
• Deliver timely analyses to support leadership decisions.
• Align on scope, timelines, and outputs for stakeholder requests.
• Prepare handover materials and transfer ownership when needed

Skills

SQL

Data wrangling

Analytical thinking

Stakeholder management

Communication

Dashboard & reporting

Problem solving

Education

Bachelor’s degree in quantitative field

Tools

Power BI

Tableau

Job description

Job Description

Provide analytics support across multiple business teams by delivering ad-hoc analysis, maintaining core reports and scorecards, and preserving business context and metric definitions to ensure consistent understanding and decision-making across stakeholders.

Analysis & Reporting Delivery

• Step into different business areas and quickly understand business context, key KPIs, and existing analytical workflows.
• Reconstruct context from available documentation, datasets, dashboards, and stakeholder inputs.
• Deliver timely analysis to support decisions for business team leaders/managers.
• Clarify the request’s decision purpose, assumptions, and limitations; propose approaches when appropriate.
• Maintain and improve core reports, dashboards, and scorecards used by business teams.
• Ensure stability and consistency of metric definitions over time.
  

Stakeholder Management & Knowledge Preservation

• Manage multiple stakeholder requests by aligning on scope, timelines, and expected outputs.
• Proactively identify repeated requests suitable for standardization or templating to reduce future load.
• Document data sources, SQL logic, assumptions, definitions, and known issues for recurring outputs.
• Prepare handover materials and transfer ownership of reports/scorecards when needed
  

Requirements

• Bachelor’s degree in a quantitative field (e.g., Economics, Business, Statistics, Mathematics, Computer Science, Engineering) or equivalent practical experience
• Has 2–5 years in analytics / BI / business analysis / ops analytics
• Has experience supporting multiple stakeholders or rotating across domains (e.g., shared services, consulting, operations analytics) is strongly preferred
• Hands‑on experience building and maintaining recurring reports/scorecards and delivering ad-hoc analyses
• High adaptability: rapid context switching and fast ramp-up in new domains
• Strong written/verbal communication: ability to translate ambiguous questions into clear analytical work and explain results to non-technical stakeholders
• Strong SQL and data wrangling skills; ability to work independently with large datasets
• Solid analytical fundamentals: descriptive analysis, driver/root‑cause analysis, cohort/funnel style thinking as applicable
• Practical BI/reporting skills (e.g., dashboards, scorecards, automated reporting) and comfort maintaining existing assets