Fintech Data Analyst

About The Opportunity

We are looking for a Fintech Data Analyst to establish the analytical data foundations for Fintech across Dealertrack and CMS. This role is critical to enabling data-driven decision-making for product strategy, fraud prevention, customer trust initiatives, and the modernization of core Fintech platforms.

Responsibilities

• Establish Fintech Data Foundations: Design, build, and own core analytical data models that support consistent measurement across Fintech products, including fraud prevention, transaction flows, and customer journeys.
• Define and Document KPI Logic: Define and document KPI logic, metric definitions, and analytical standards to create a shared, trusted view of performance.
• Data-Driven Fintech Products: Act as an analytical partner to Fintech product teams supporting Dealertrack and CMS. You will generate insights that drive data-informed product development, optimization, and prioritization, ensuring decisions are grounded in robust and reliable analysis across financial workflows.
• Analytical Mentorship: Serve as a technical mentor within the analytics team. Help establish best practices for analytical methodologies, data quality, and metric definitions—particularly in a regulated Fintech environment. Guide junior analysts on complex analytical problems and collaborate closely with cross-functional teams to elevate data literacy and foster a culture of data-informed decision-making.

Required Qualifications

Education, Experience, and Technical Skills:

• 5+ years of experience in data analytics, with strong hands-on experience in analytical data modelling, ideally supporting financial, SaaS, or platform-based products.
• Demonstrates regular, structured use of GenAI tools to accelerate SQL development, analytical modelling, documentation, and problem-solving, with measurable impact on quality or efficiency.
• Strong proficiency in SQL and BI tools such as Power BI, Tableau, QuickSight, etc.
• Experience working with financial, transactional, or operational datasets is considered a strong asset.

Required Soft Skills And Competencies:

• High degree of autonomy — ability to work closely with Fintech product and engineering teams to identify analytical needs and translate them into actionable insights.
• Strong communication skills — comfortable presenting complex data and financial concepts to non-technical stakeholders.
• Proven ability to gather, analyze, and synthesize data from multiple systems while ensuring accuracy, consistency, and trust in reported metrics.

Key skills/competency

• Data Analytics
• Fintech
• Analytical Data Modeling
• SQL
• Business Intelligence (BI) Tools
• Fraud Prevention
• KPI Definition
• Data Quality
• Product Strategy
• Mentorship