Fintech Data Analyst

We are looking for a 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, 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 Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.

#J-18808-Ljbffr