Staff Data Analyst, Servicing

How you’ll make an impact

• Lead the development of analytical capabilities to support servicing initiatives and drive efficiency improvements.
• Create regular executive level presentations to communicate findings and strategic recommendations.
• Design experiments and conduct quantitative analysis to test hypotheses about our users and the way they interact with our servicing initiatives, and collaborate with partners to prioritize the right problems and opportunities.
• Collaborate with analytics engineering and software engineering to continuously up-level our servicing data capabilities, making new data available as the business expands, and accelerate time to insights.
• Develop and maintain business intelligence tools to support reporting and decision-making.
• Mentor junior team members while fostering a culture of excellence in data and analytics, positioning the team as a hub of expertise and innovation.

Minimum Qualifications

• 8+ years work experience in increasingly senior analytical roles in technology and finance industry.
• Strong background in payments, product, or operations analytics, with hands-on proficient in SQL, Python and/or R.
• Exceptional track record of deriving actionable insights from analysis and analytical storytelling.
• Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode.
• Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative fields, providing a solid grounding in analytical and problem-solving skills essential for success.

Preferred Qualifications

• Strong analytical and quantitative background with experience in conducting and evaluating A/B tests, ideally in Financial and/or Operational related fields.
• Expertise in consumer lending, and knowledge of post origination servicing and/or operations.
• Skilled at crafting executive-ready narratives around complex business topics and successfully influence VP+ decision making.
• Demonstrated ability to work collaboratively and in deep partnership with cross-functional teams.
• Demonstrated ability to balance multiple workstreams and priorities; experience influencing up and cross functionally to maximize positive impact to the organization.
• Experience in coaching and mentoring junior team members on technical subjects.