Utilize tools like SQL/Python to retrieve data from primary and secondary sources, including databases, credit reports, and other external sources.
Employ data cleaning techniques to identify and rectify inconsistencies, missing values, duplicates, and formatting errors within datasets.
Develop scripts to automate data extraction, preparation, cleaning, and presentation, ensuring ongoing data quality and efficiency.
Clearly outline the methodology used, including the specific steps taken and the rationale behind them.
Qualifications:
No minimum years of experience required, but must demonstrate strong curiosity and enthusiasm for data, a proactive attitude toward learning, problem-solving skills, analytical thinking, and initiative in using AI tools to accelerate data tasks and deliver insights efficiently.
Bachelor's Degree, preferably BS-Math/BS-Statistics or with Data Analytics experience/background
High proficiency in SQL and Python is a must-have
Exposure to data extraction, processing, and visualization
Able to work with minimal supervision
Flexible and highly adaptable to a fast-paced environment
With excellent written and verbal communication skills, including the ability to present with impact; able to translate complex analyses into easily digestible stories for senior management
Excellent time management and organizational skills
