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Snap Finance is seeking a Lead BI Analytics Engineer to drive analytics across the business, delivering high-impact dashboards and robust data models. You will translate business needs into technical requirements, define KPIs, and optimize our BI stack from data modeling to visualization.
You’ll collaborate with stakeholders, mentor analysts, and advance analytics with AI-driven efficiencies, while ensuring data integrity and scalability across data domains.
Company Overview: At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation. If you're looking to make an impact and grow with a team that values you, come join us!
Job Description: Are you passionate about transforming data into insight and impact? Snap Finance is redefining the future of financial technology through innovation, intelligence, and accessibility. We’re looking for a Lead BI Analytics Engineer to drive the next evolution of our analytics ecosystem — empowering teams through exceptional data visualization, robust data modeling, and smart BI platform optimization. If you live and breathe data, love clean models and beautiful dashboards, and want to push the boundaries of what’s possible in business intelligence (including responsible AI adoption), this role is for you.
Lead the design, development, and maintenance of high-impact BI dashboards and data visualizations that drive strategic decision-making across all levels of the business. Collaborate closely with business stakeholders to translate business needs into technical requirements, define meaningful KPIs, and ensure insights align with company goals. Architect and maintain scalable data models, ensuring performance, integrity, and usability across multiple data domains. Write and optimize advanced SQL (Presto, PostgreSQL, or equivalent) for analysis, dashboard feeds, and automation pipelines. Oversee and continuously improve our Tableau ecosystem (or equivalent BI platforms) — including governance, content strategy, performance optimization, and user enablement. Use Python to automate workflows, enrich datasets, and build repeatable analytical frameworks. Develop and maintain advanced Excel models and visualizations, integrating them with BI tools where appropriate for ad-hoc analysis and executive reporting. Collaborate with Data Engineering, Analytics, and Product teams to align BI architecture with business needs and system capabilities. Champion best practices in visualization design, storytelling, and performance tuning. Evaluate and introduce AI-driven efficiencies within the BI space — from intelligent data preparation to automated insights — while maintaining technical rigor and human oversight. Mentor analysts and BI developers, setting standards for data modeling, dashboard development, and analytical quality. Ensure a culture of data trust, scalability, and continual improvement across the BI environment.
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice.
Our Mission and Success are creating opportunities. As this Snap team continues to grow, we are selecting the most talented individuals to join and contribute – our continued success depends on it! We invite you to explore our currently available positions and apply to the roles where you believe you can best thrive. Stay tuned for updates on your progress throughout the recruiting process and keep an eye out for new job postings in the future! Thank you for considering Snap as your employer of choice!