Data Analyst For credit company <MANDALUYONG>ID:46134

40,000 PHP ~ 90,000 PHPMandaluyong 约2个月 ago


  • 薪资

    40,000 PHP ~ 90,000 PHP

  • 产业类别

    Financial Service

  • 工作内容

    We are looking for a Data Analyst who can employ data analysis, machine learning, and programming expertise to enhance the performance of our company 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 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 company.
    •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 Company'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.

    Other task will assign time to time


  • 应征条件

    •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.
    •Applicants must be willing to work in the Ortigas/Shaw area.
    •Applicants must be willing to have overseas business trips for onsite implementation.

    has experience with credit financial industry

  • 英文


  • 其他语言



  • 福利制度

    -Medicine Allowance
    -Group Life Insurances
    -13th months payment
    -SL:15 days
    -VL:15 days
    ※Each employee will earn 1.25 days of VL and 1.25 days of SL after a month of service. However, a total of fifteen (15) days VL and fifteen (15) days SL will be made available to employees at the start of the year.
    -Maternity Leave : 105 Calendar Days / 120 Calendar Days-Single Parent
    -Bereavement Leave:3 days
    -Daily Subsistence Allowance
    -Transportation Allowance
    -Japanese Language Allowance (For employees with N4-N1 JLPT Certification)
    -Miscellaneous Benefits
    ※P 2,500.00 worth of flower arrangement or mass card and P 5,000.00 Financial Aid (given to employees who have lost an immediate family member)

    -Birthday Leave:1 day
    -Calamity Leave:2 days
    -Loyalty Incentive
    ※Cash incentive amounting to 1/12 of the total basic salary on the 3rd, 5th, 7th, 10th, 13th, 15th, 17th , 20th year of tenure.

  • 工作时间

    8:00 / 9:00 ~ 17:00 / 18:00

  • 假日

    Saturday, Sunday, Philippine National Holidays

  • 职业类别