Non-negotiable:
Should have strong SQL skills
Data experience should include data cleaning, not just creation of dashboards
Have/Had a project regarding loans
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
EXPERIENCE:
At least 5 years of data experience and a minimum of 3 years in data analysis
Experience 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