Lead BI Analytics Engineer

Snap-Finance; West Valley City (UT); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Generous PTO

Medical, dental & vision coverage

401K with company match

Life insurance

Short-term and long-term disability

Mental health resources

Volunteer time

Job summary

Snap Finance is seeking a Lead BI Analytics Engineer to drive an analytics ecosystem with high-impact dashboards, scalable data models, and robust data visualization. You will partner with stakeholders to define KPIs and ensure insights align with company goals.

You will architect data models, optimize SQL, and oversee Tableau governance while mentoring a growing team. A strong emphasis on AI-enabled BI and scalable processes is required.

Qualifications

• 5+ years in BI/analytics or related field.
• Deep SQL expertise for complex queries and data modeling.
• Proficiency in Python for data processing and automation.
• Expert Tableau and Excel skills for dashboards.
• Experience with star/snowflake data models and KPI alignment.
• Ability to translate business needs into measurable KPIs with stakeholders.
• Strong understanding of data architecture and BI integration.
• Interest in AI/automation within BI with governance.
• Excellent communication and leadership mindset for mentoring.
• R/Shiny experience is a plus.

Responsibilities

• Lead design, development, and maintenance of high-impact BI dashboards and visualizations.
• Collaborate with stakeholders to translate needs into technical requirements and KPIs.
• Architect scalable data models and ensure performance across domains.
• Write and optimize advanced SQL for analysis and pipelines.
• Oversee Tableau ecosystem governance, content strategy, and optimization.
• Use Python to automate workflows and enrich datasets.
• Maintain advanced Excel models integrated with BI tools.
• Mentor analysts and BI developers to raise team capability.
• Promote data trust, scalability, and continuous improvement.

Skills

SQL

Python

Tableau

Excel

Data modeling

KPI definition

Stakeholder collaboration

Mentoring

Leadership

Communication

Tools

PostgreSQL

Presto

Tableau

Job description

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 DescriptionAre 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.What You’ll DoLead 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.What You’ll Need5+ years of experience in business intelligence engineering, data analytics, or a related technical field.Deep expertise in SQL — capable of building, optimizing, and mentoring on complex query logic and data modeling.Proficiency in Python for data processing, automation, and integration workflows.Expert-level skills in Tableau and Excel — capable of creating dynamic dashboards, advanced formulas, pivot tables, macros, and interactive visualizations.Proven experience in data modeling for analytics — star/snowflake schemas, semantic layers, and KPI standardization.Strong experience working with business stakeholders to define KPIs, build requirements, and deliver insights that drive measurable outcomes.Strong understanding of data architecture principles and how BI fits into the larger data ecosystem.Curiosity and openness to AI and automation — an eagerness to apply emerging tools to make BI faster, smarter, and more scalable.Experience with R or Shiny is a plus.Excellent communication skills with the ability to translate complex data into clear, compelling business insights.A leadership mindset that combines technical excellence with mentoring, collaboration, and the drive to raise team capability.Why Join Us:Generous paid time offCompetitive medical, dental & vision coverage401K with company match for USCompany-paid life insuranceCompany-paid short-term and long-term disabilityAccess to mental health and wellness resourcesCompany-paid volunteer time to do good in your communityLegal coverage and other supplemental optionsA value-based culture where growth opportunities are endlessMore: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