Manager of Data Analytics

The Manager of Data Analytics will lead a team of data analysts, own the analytics roadmap for the portfolio, and act as the primary link between the analytics function and senior stakeholders. This role combines hands-on analytical oversight with people leadership, ensuring the team delivers accurate, timely, and business-relevant insights.

Responsibilities:

• Lead, mentor, and manage a team of data analysts, setting individual and team goals, conducting performance reviews, and supporting career development.
• Own the interpretation of data and statistical analysis across the team, reviewing and validating key findings before they reach senior leadership.
• Define and oversee the reporting infrastructure, interactive dashboards, and analytical tools strategy, ensuring consistency, scalability, and data governance across all outputs.
• Set standards for data acquisition from primary and secondary sources, and drive resolution of systemic issues in databases and data systems in partnership with engineering/IT.
• Guide the team in identifying, analyzing, and interpreting trends and patterns in complex data sets, and translate these into strategic recommendations for leadership.
• Direct the development of regression and forecasting models using historical data to predict future portfolio performance, and validate model outputs before they inform business decisions.
• Partner directly with senior management and cross-functional leaders to prioritize business and information needs, and represent the analytics function in planning and strategy discussions.
• Identify, propose, and lead process improvement initiatives, owning implementation and measuring impact.
• Manage stakeholder relationships across departments, ensuring analytics work is aligned with broader business objectives.
• Own budgeting, tooling decisions, and resourcing for the analytics function, where applicable.

Requirements:

• Bachelor's or master's degree in statistics, mathematics, engineering, or a related quantitative field.
• 7+ years of experience as a data analyst or business data analyst, including at least 2+ years in a team lead or people management capacity.
• Proven track record of managing or mentoring a team of analysts, with strong people leadership and coaching skills.
• Deep technical expertise in data models, database design and development, data mining, and segmentation techniques.
• Advanced proficiency in Excel, SQL, and Python, and hands-on experience with dashboarding tools such as Metabase, Tableau, or equivalent.
• Strong command of statistics and statistical packages for analysis and visualization (Pandas, NumPy, scikit-learn, Seaborn), with the ability to review and validate the technical work of others.
• Demonstrated experience developing regression and forecasting models to predict future portfolio performance, including in a review/oversight capacity.
• Experience in supervised and unsupervised model development and the judgment to guide a team through model selection and validation.
• Excellent analytical and communication skills, with the ability to translate complex data into clear narratives and recommendations for senior stakeholders.
• Strong stakeholder management skills, with experience prioritizing competing business needs across departments.
• Knowledge of practices and procedures in the US unsecured lending industry is strongly preferred.
• A strategic mindset paired with a hands-on, problem-solving approach to data challenges.