Data Analyst - Philippines

Long-term contract
Localisation Philippines
Occasional remote authorized
From 5 to 10 yrs of exp.
Posted on 11-13-2024

InvestEd

InvestEd is a FinTech lending platform for unbanked GenZs, which aims to bring financial inclusion to billions of youth in the developing world.

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  • Website
  • Unknown
  • Between 15 and 50 persons
  • Others
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PRIMARY FUNCTIONS

  • Utilize tools like SQL/Python to retrieve data from primary and secondary sources, including databases, credit reports, and other external sources
  • Establish clear criteria for clean and usable data that aligns with business, considering data meaning and expected behavior
  • Employ data cleaning techniques to identify and rectify inconsistencies, missing values, duplicates, and formatting errors within datasets
  • Develop Python scripts to automate data extraction, preparation, and cleaning tasks, ensuring ongoing data quality and efficiency
  • Leverage statistical tools to identify patterns, trends, and anomalies within complex datasets
  • Assist in preparing comprehensive reports and interactive dashboards for stakeholders, effectively presenting trends, patterns, predictions, and other valuable insights derived from data analysis
  • Clearly outline the methodology used, including the specific steps taken and the rationale behind them
  • Actively immerse in relevant areas of the business and work with stakeholders to identify and process, and interpret data that can answer business questions and help identify opportunities
  • Analyze local, national, and global trends that impact both the organization and the industry
  • Provide support in maintaining the data models, infrastructure and processes to monitor and maintain data quality
Profile

EDUCATIONAL QUALIFICATIONS:

Bachelor’s Degree, preferably BS-Math/BS-Statistics or with Data Analytics experience/background

RELEVANT EXPERIENCE:

  • At least 5 years of data experience and a minimum of 3 years in data analysis
  • Experienced in data entry and cleaning, quality control, model validation, regression analysis, data visualization, and reporting tools
  • High proficiency in SQL and Python is a must-have
  • Preferred but not required experience in developing and maintaining data pipelines, data models and databases
  • Experience in working with consumer loans/personal loans is a must
  • Preferably with previous startup experience

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