Data Analyst

The Data Analyst will extract, clean, and prepare data from various sources to ensure accuracy and quality. The Analyst will analyze this data to help identify key trends and insights, creating reports and visualizations for stakeholders. This role requires extensive collaboration with other teams, to provide data-driven insights that enhance business processes and decision-making. Proficiency with analytical tools and a proactive approach to continuous improvement are essential.

The main responsibilities will revolve around the following:

• 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, 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

Experience:

• Preferably with at least 2 years of data experience
• Preferably with previous startup experience
• High proficiency in SQL or Python is a must-have
• Has experience in data quality processes, model validation, regression analysis, data visualization, and reporting tools
• Preferred but not required experience in developing and maintaining data pipelines, data models, and databases