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Science & Technology 🏢 Full Time ⭐️ Terverifikasi

Data Analyst

Monee
Manila City, Metro Manila
Estimasi Gaji
PHP 45.000 – PHP 85.000
Terbaru
Live Update
28 Juni 2026
Batas Akhir
28 Jun 2027

Deskripsi Pekerjaan

Are you a data-driven professional passionate about transforming complex information into strategic business growth? Monee is looking for a sharp, detail-oriented Data Analyst to join our dynamic team in Manila. In this role, you will play a critical part in shaping our decision-making processes by diving deep into pricing models, claims management metrics, and customer behavioral patterns.

As a Data Analyst at Monee, you won't just be running queries; you will be an internal consultant who bridges the gap between raw data and actionable intelligence. You will collaborate with cross-functional teams to identify inefficiencies, predict trends, and support our mission to optimize business performance. If you are comfortable working with large datasets, possess strong analytical intuition, and thrive in a fast-paced environment, we want to hear from you.

Tanggung Jawab

  • Develop and maintain automated dashboards to track key performance indicators (KPIs) related to pricing and claims.
  • Perform deep-dive analysis on customer behavior to identify churn risks and opportunities for engagement.
  • Collaborate with stakeholders to translate business questions into technical data requirements.
  • Monitor and audit data quality to ensure accuracy in all internal and external reporting.
  • Evaluate existing pricing strategies and provide data-backed recommendations for optimization.
  • Prepare comprehensive reports and visualizations for senior management to guide strategic planning.
  • Identify operational bottlenecks within claims management through rigorous statistical analysis.

Kualifikasi

  • Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.
  • Minimum of 2-3 years of experience in data analysis or a similar business intelligence role.
  • Strong proficiency in SQL for data extraction and manipulation.
  • Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Proficiency in Python or R for statistical analysis and data modeling is highly preferred.
  • Advanced knowledge of Microsoft Excel (pivot tables, VLOOKUP, macros, and modeling).
  • Excellent communication skills with the ability to explain complex technical findings to non-technical stakeholders.
  • Strong problem-solving mindset with a keen eye for detail.

Keahlian yang Dibutuhkan

SQL Python Data Analysis Tableau Power BI Statistical Modeling Business Intelligence Data Visualization Excel Predictive Analytics

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