About the role
from listingAbout Our Client:
The organization operates in the financial technology sector, focusing on addressing challenges related to consumer debt such as student loans and credit card refinancing. It provides a platform that connects borrowers with credit unions and banks, enabling the refinancing of loans through automated loan processing technology. The company has facilitated refinancing exceeding $6 billion and has attracted significant investment, indicating its impact and growth within the lending marketplace.
About the Opportunity:
The OPERATIONS DATA ANALYST role is designed to leverage data analytics to enhance operational performance and support strategic decision-making across multiple teams. This position is integral to improving efficiency, driving business cases for growth, and optimizing processes through the application of data insights and AI tools. The analyst collaborates across departments to ensure data-driven outcomes that advance the organization's lending operations.
Responsibilities:
Analyze servicing, collections performance, application funnels, and contact-center metrics.
Build and maintain automated reports and data files for lending partners, investors, and vendors, aligning data delivery with partner requirements.
Maintain and develop data models in Snowflake and dbt, supporting operational dashboards.
Standardize key metric definitions, audit data models, and reconcile figures with partner data.
Identify performance gaps, test hypotheses, and prepare analyses to inform leadership decisions.
Employ AI tools to enhance analytics workflows, including AI-assisted dbt development and request automation.
Collaborate with data engineering, product, and business teams to scope and deliver analytical solutions.
Requirements:
Minimum of 3 years experience as a Data Analyst or Business Analyst.
Proficiency in SQL and experience with data modeling.
Familiarity with BI tools such as Sigma, Tableau, or Power BI.
Strong business acumen with the ability to translate data into actionable insights.
Self-management skills to deliver projects independently and on schedule.
Experience with AI/ML tools or implementing AI-driven analytics solutions.
Bachelor’s degree in Data Analytics, Statistics, Economics, Business, or related field, or equivalent experience.
Pay Range and Compensation Package:
The base salary range for this role is $61,000 to $97,000 annually, with final compensation based on location, experience, and skill level.
Benefits & Perks:
Medical insurance
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.
Seniority level: Mid-Senior level
Employment type: Full-time
Industries: Software Development