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Data Specialist

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Onsite

Data Specialist

Cepat Kredit Financing Inc

Data Specialist

Skills

SQL QueriesTableauPythonData VisualizationData AnalysisCRMCompliancePower BI

1 year ago

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Important information


Contract type:

Permanent

Location:

Pasig, Metro Manila, Philippines

Work mode:

Onsite

Published on:

8 August 2026

What they need


The Data Analyst is responsible for gathering, analyzing, and interpreting data to support the Sales and Credit teams. The role involves creating detailed reports, generating insights, and ensuring data accuracy to aid in strategic decision-making and operational efficiency. The Data Analyst collaborates across departments to meet corporate planning objectives.

  • Collect, clean, and analyze data from various sources to generate reports.
  • Develop dashboards and data visualization tools to present actionable insights.
  • Monitor key performance indicators (KPIs) and provide regular updates to stakeholders.
  • Collaborate with other departments to identify data requirements and improve data quality.
  • Support the preparation of periodic and ad hoc reports for management.
  • Conduct trend analysis to identify opportunities and risks.
  • Assist in the development and enhancement of data collection and reporting processes.
  • Ensure compliance with data security and confidentiality standards.
  • Perform other related duties and responsibilities as assigned to support the Corporate Planning department's objectives.
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proficiency in data analysis tools such as Excel, SQL, Python, or similar software.
  • Experience with data visualization tools like Tableau, Power BI, or equivalent.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills with the ability to present complex information clearly.
  • Attention to detail and a commitment to data accuracy.
  • Ability to work collaboratively in a team-oriented environment.

Preferred Qualifications

  • Experience in a corporate planning or financial services environment.
  • Familiarity with CRM and ERP systems.
  • Knowledge of statistical analysis techniques and predictive modeling.

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