Data Analyst
Summary
Data Analyst at EVOxCharge Inc. (a Transnational Diversified Group company) in Taguig City, monitoring and reporting on its charging-network operations: tracking KPIs like uptime and asset utilization, analyzing operational logs, and building automated dashboards using Excel/Sheets, SQL, and BI tools (Power BI, Tableau, Looker Studio). Salary ₱35,000–45,000/month.
Salary: ₱35,000 – ₱45,000 per month
EVOxCharge Inc. is looking for a highly analytical, detail-oriented, and results-driven Data Analyst to support the company's network and operational performance through data analysis, reporting, and business intelligence.
Key Responsibilities:
Monitor and generate regular operational performance reports, management summaries, and executive updates.
Track and evaluate key operational performance indicators, including asset utilization, system uptime, service availability, and peak demand patterns.
Analyze operational data and error logs to identify recurring trends, bottlenecks, and areas for service improvement.
Design, build, and maintain automated dashboards and data visualizations to give teams clear visibility into day-to-day operations.
Translate complex operational data into actionable insights and practical recommendations to optimize network and asset performance.
Coordinate with internal technical, operational, and product teams to validate data accuracy and support ad-hoc analytical requests.
Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Information Technology, Industrial Engineering, Economics, Data Science, or any related quantitative field.
At least 1–3 years of relevant experience in data analysis, operations reporting, business intelligence, or performance analytics.
Fresh graduates with relevant technical projects, internship experience, and strong analytical skills are welcome to apply.
Proficient in Microsoft Excel or Google Sheets, particularly in data analysis, formulas, and data management.
Knowledge of SQL for data extraction, querying, and manipulation.
Experience developing dashboards and data visualizations using Power BI, Tableau, or Looker Studio.