Data Analyst – BI Dashboards & Automation

Xerox Philippines; Lapu-Lapu; On-site; PHP 360,000 - 720,000; Full time

Job summary

Xerox Philippines is seeking a Data Analyst to design, develop, and maintain BI reports and dashboards that empower data‑driven decisions. You will consolidate data from multiple systems, generate actionable reports, and collaborate with stakeholders to improve reporting quality.

The ideal candidate has 2–4 years in analytics, strong SQL and Power BI skills, and excellent communication to translate data into business insights.

Qualifications

• Bachelor's degree in a related field.
• 2–4 years in Data Analytics or BI roles.
• Proficient in SQL and data analysis techniques.
• Experience with Power BI or similar platforms.
• Strong communication and presentation skills.

Responsibilities

• Design, develop, maintain, and enhance BI reports and dashboards.
• Collect, validate, consolidate, and analyze data from multiple systems.
• Generate recurring and ad hoc reports with actionable insights.
• Analyze trends, risks, and performance metrics using analytics techniques.
• Present findings and recommendations through reports and visuals.
• Define reporting requirements with cross‑functional stakeholders.
• Perform data validation and ensure data integrity.
• Identify opportunities to automate reporting processes.
• Support governance, access management, and documentation.
• Participate in cross‑functional initiatives to improve reporting capabilities.

Skills

SQL querying

Power BI

Advanced Excel

Data analysis

Communication

Education

Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, Business Analytics, or related field

Tools

Power BI

SAP Business Objects

Oracle BI

Job description

Xerox Philippines is seeking a Data Analyst to design, develop, and maintain BI reports and dashboards that empower data‑driven decisions. You will consolidate data from multiple systems, generate actionable reports, and collaborate with stakeholders to improve reporting quality.

The ideal candidate has 2–4 years in analytics, strong SQL and Power BI skills, and excellent communication to translate data into business insights.