DATA COORDINATOR & ANALYST

Chempro QLD Pty Ltd; Metro Manila; Hybrid; PHP 480,000 - 720,000; Full time

Job summary

Chempro QLD Pty Ltd in Metro Manila is seeking a Data Coordinator & Analyst to join the Data Team. This hybrid role handles data analytics, reporting, and database support to generate insights while ensuring data accuracy and integrity.

You will work with large datasets, create dashboards, and support business decision-making. The ideal candidate has a degree in a related field, strong Excel and BI skills, experience with SQL and Python, and the ability to collaborate with stakeholders across

Qualifications

• Bachelor's degree in IT, CS, Business Analytics, Statistics or related field.
• Experience in data analytics, database management, reporting or data support.
• Advanced Excel skills with strong analytical ability.
• Excellent attention to detail and data quality assurance.
• Strong communication and stakeholder collaboration.
• Ability to manage multiple priorities and deadlines.
• Experience with SQL, Power BI, Python, automation tools desirable.
• Familiarity with data validation and AI tools is a plus.

Responsibilities

• Analyze, validate, and maintain data to support reporting and decision-making.
• Develop dashboards and reports using Excel, Power BI, and SQL.
• Identify trends and provide actionable data insights.
• Maintain product, supplier, inventory, and operation data in databases.
• Investigate data quality issues and resolve duplicates.
• Support data updates, imports/exports and user requests.
• Improve data management through automation and efficiency initiatives.
• Collaborate with cross-functional teams and communicate findings.

Skills

Data analytics

Database management

Reporting

Data support

Excel Advanced

Stakeholder communication

Multitasking

Education

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

Tools

Excel

Power BI

SQL

Python

AI tools

Job description

About the role

We are seeking a Data Coordinator & Analyst to join our Data Team. This hybrid role combines data analytics, reporting, and database support responsibilities. You will work with business and operational data to generate meaningful insights while ensuring the accuracy, integrity, and maintenance of our database systems. The ideal candidate is analytical, detail-oriented, and comfortable working with large datasets, reporting tools, and database platforms. This role offers the opportunity to support business decision-making through reporting and analysis while maintaining the quality and reliability of critical data systems.

Key responsibilities

• Analyze, validate, and maintain data to support business reporting and decision-making.

• Develop and maintain reports, dashboards, and performance metrics using Excel, Power BI, SQL, and related tools.

• Identify trends, insights, and opportunities through data analysis and provide actionable recommendations.

• Maintain accurate product, supplier, inventory, and operational data across database systems.

• Investigate and resolve data quality issues, discrepancies, and duplicate records.

• Support database maintenance, data updates, imports/exports, and user requests.

• Improve reporting and data management processes through automation and efficiency initiatives.

• Utilize tools such as Excel, SQL, Power BI, Python, and AI technologies to streamline workflows.

• Collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders.

About you

• Bachelor's degree in information technology, Computer Science, Business Analytics, Statistics, Business Administration, or a related field.

• Experience in data analytics, database management, reporting, or data support roles.

• Advanced Microsoft Excel skills with strong analytical and problem-solving abilities.

• Excellent attention to detail, data accuracy, and quality assurance.

• Strong communication skills and the ability to work effectively with stakeholders.

• Ability to manage multiple priorities, meet deadlines, and work both independently and collaboratively.

• Experience with SQL, Power BI, Python, automation tools, or other business intelligence solutions is highly desirable.

• Familiarity with data validation, database systems, AI tools, and operational or retail environments is an advantage.