Data Analyst

SPAC Information Technology Inc; Manila; On-site; PHP 420,000 - 700,000; Full time

Job summary

SPAC Information Technology Inc. is seeking a Data Analyst – Business Intelligence & Reporting to turn data into actionable insights for a financial services client. The role focuses on data analysis, reporting, dashboarding, and supporting decision making.

Ideal candidate has strong SQL, Excel, Power BI/Tableau skills and the ability to communicate findings clearly. Responsibilities include collecting and cleansing data, building reports, automating recurring analyses, and collaborating with

Qualifications

• Bachelor's degree in IT, CS, statistics, mathematics, business analytics or related field.
• At least 2 years of data analysis or BI experience.
• Proficient in Excel (PivotTables, advanced formulas).
• Hands-on SQL for data extraction and reporting.
• Experience with Power BI or Tableau.
• Strong analytical and communication skills.

Responsibilities

• Collect, clean, validate, and analyze data from multiple sources.
• Develop and maintain reports, dashboards and trackers.
• Write SQL queries to extract and analyze data.
• Analyze business trends, KPIs, and performance metrics.
• Identify data patterns and opportunities for process improvement.
• Collaborate with stakeholders to translate data into insights.
• Automate recurring reports and improve reporting efficiency.
• Support management reporting and ad hoc analysis.
• Maintain data quality and confidentiality.

Skills

Data analysis

Reporting

SQL

Excel

Stakeholder communication

Education

Bachelor's degree in IT / CS / Statistics / Mathematics / Business Analytics

Tools

Power BI

Tableau

Python (basic)

Job description

Role: Data Analyst – Business Intelligence & Reporting

Experience: 2–5 years preferred

We are looking for a detail-oriented and analytical Data Analyst to support a leading financial services organization.

The successful candidate will analyze business data, prepare reports, develop dashboards, and provide meaningful insights to support business decisions, operational efficiency, and performance improvements.

Key Responsibilities

• Collect, clean, validate, and analyze data from multiple sources to ensure accuracy and consistency.
• Develop and maintain reports, dashboards and performance trackers using Excel, Power BI or other reporting tools.
• Write SQL queries to extract, manipulate, and analyze data from databases.
• Analyze business trends, operational performance, and key performance indicators (KPIs).
• Identify data patterns, discrepancies and opportunities for process improvement.
• Work closely with business stakeholders to understand reporting requirements and translate data into actionable insights.
• Automate recurring reports and improve reporting efficiency where possible.
• Support management reporting, business performance reviews, and ad hoc analysis.
• Maintain data quality, confidentiality, and compliance with organizational policies.

Requirements

• Bachelor's Degree in Information Technology, Computer Science, Statistics, Mathematics, Business Analytics, or a related discipline.
• At least 2 years of relevant experience in data analysis, business reporting, or business intelligence.
• Proficiency in Microsoft Excel, including PivotTables, advanced formulas, and data analysis.
• Hands-on SQL experience for data extraction and reporting.
• Experience with Power BI, Tableau, or similar data visualization tools.
• Good analytical, problem-solving, and data interpretation skills.
• Ability to present findings clearly to both technical and non-technical stakeholders.
• Strong attention to detail and ability to manage multiple reporting requirements.
• Good communication and stakeholder management skills.

Added Advantages

• Experience in the insurance, banking, or financial services industry.
• Knowledge of Python, Power Query or other data automation tools.
• Familiarity with data modelling, ETL processes and database management.
• Experience with sales analytics, operational reporting, or management dashboards.
• Knowledge of data governance and data quality principles.

Ideal Candidate

We are particularly interested in candidates who have hands-on experience with SQL, Excel, and Power BI, and can independently analyze data, build dashboards, and communicate meaningful business insights.

Experience with SQL, Excel, Power BI, and Python