Data Analyst

4 weeks ago

Manila, National Capital Region, Philippines Aeon Credit Service Systems (Philippines) Inc. Full time

Job Brief:

We are looking for a Data Analyst who can employ data analysis, machine learning, and programming expertise to enhance the performance of AEON and its affiliates. Your role will be instrumental in constructing data products to uncover valuable business insights.

Your role will involve collaborating with cross-functional teams, developing predictive models, and presenting actionable recommendations. Strong critical thinking and problem-solving skills are imperative for interpreting large and complex data sets. Your primary goal will be to assist AEON affiliates in making well-informed decisions by scrutinizing trends and patterns.

Job Responsibilities:

  • The Data Analyst is responsible for providing strategic, analytical, and technical support in all business intelligence activities for AEON.
  • The Data Analyst will work closely with cross-functional teams and stakeholders to identify business opportunities and provide data-driven solutions.
  • Create proposals and conduct end-to-end project management including scoping, building, testing, implementation, maintenance, and tracking and optimization.
  • Identify relevant data sources and mine necessary information for business needs.
  • Extract, transform, and analyze data from various sources to generate actionable insights.
  • Prepare data analysis and reports to monitor performance and identify quality controls necessary for improvement and development of AEON's products.
  • Prepare presentations and communicate complex findings and insights to both technical and non-technical stakeholders in a clear manner.
  • Develop and implement algorithms and models in R, Python, or other tools for predictive and prescriptive analytics.
  • Collaborate with software engineers to deploy models into production using API and monitor their performance.
  • Conduct ad-hoc analyses to answer specific business questions.

Qualifications:

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Information Technology, or an equivalent related field.
  • Minimum of 2-5 years working in the data science field with proven experience in model development and/or deployment.
  • Excellent programming skills in R or Python (Proficiency in Python; knowledge in Scikit-learn, pandas, seaborn, and similar tools is preferred).
  • Excellent SQL skills (Familiarity with PostgreSQL, Oracle is preferred).
  • Experience in Flask, FastAPI, and similar technologies.
  • Experience in data visualization using Tableau is a plus.
  • Experience in AWS (Sagemaker & S3) is a plus.
  • Excellent presentation skills, both in oral and written communication.
  • High attention to detail and strong documentation skills.
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