Position: Business Data Analyst (Fintech)
Company: Liberty Lending, LLC
Experience required: 2y
English level: upper

Required skills

● Bachelor’s degree in a quantitative field: Mathematics, Economics, Statistics, Operations Research, Computer Science, Data Science or related field.
● Master’s degree in analytics, computer modeling, science, or math is a plus.
● 1-3+ year’s work experience in the consumer lending industry.
● Understanding of the key drivers of consumer loan/credit card financials and the underlying consumer behaviors
● Demonstrated attention to detail with the ability to think strategically and problem solve.
● Proficient Microsoft Office and advanced Microsoft Excel
● Experience in dealing with data in various formats and programing with data manipulation tools such as Python, SQL etc.
● Experience with data processing, analysis, and automation skills with Python
● Possesses Tableau, Looker or similar coding skills with experience developing visualizations that provide an accessible way to see and understand trends, outliers, and data patterns.
● Good business acumen and the ability to associate and contrast insights with business objectives and decisions.
● Excellent communication and interpersonal skills with the ability to convey complex information in a digestible and compelling manner.

Responsibilities

● Develop, manage, and maintain reports on product performance, operations and risk metrics.
● Lead dashboard design process and own rollouts from development to production across different business areas
● Synthesize raw data from various sources into actionable insights to drive business results, identify trends, and opportunities.
● Build reports, presentations and dashboards that effectively showcase and communicate trends, patterns and predictions using relevant data.
● Lead and mentor junior analyst in data visualization and information presentation to ensure the delivery qualification
● Deliver on various data and reporting projects end-to-end, including requirements identification and gathering, timelines, cross-departmental coordination, and risk/dependency assessment and monitoring.
● Work closely with data scientists and data engineers to design and maintain scalable data models and pipelines.
● Formulate business insights on growing the business, improving efficiency, and deepening customer and departmental relationships based on data.
● Track and analyze the performance of various tests and acquisition programs for strategy recommendation
● Continuously improve current process for better efficiency and accuracy
● Retrieve data and conduct data-driven analytics utilizing various analytical tools, software and techniques
● Act as a strong advocate for data quality across the organization