Lead BI Analytics Engineer

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

Benefits offered by this job

Generous paid time off

Medical, dental & vision coverage

401K with company match

Company-paid life insurance

Disability coverage

Mental health resources

Volunteer time off

Legal coverage

Job summary

Snap Finance seeks a Lead BI Analytics Engineer to drive the analytics ecosystem with robust data modeling, scalable dashboards, and optimized BI platforms. You will empower teams through insightful visuals and automated pipelines, collaborating with stakeholders to define KPIs and ensure alignment with business goals.

Ideal candidates bring 5+ years in BI/analytics, strong SQL and Python skills, and expert Tableau/Excel capabilities.

Qualifications

• 5+ years in BI engineering, data analytics, or related field.
• Deep expertise in SQL—building, optimizing, and mentoring on complex query logic and data modeling.
• Proficiency in Python for data processing, automation, and integration workflows.
• Expert-level Tableau and Excel skills for dynamic dashboards and analytics.
• Experience in data modeling for analytics — star/snowflake schemas, semantic layers, KPI standardization.

Responsibilities

• Lead the design, development, and maintenance of high-impact BI dashboards and data visualizations for strategic decisions.
• Collaborate with stakeholders to translate needs into technical requirements and KPIs.
• Architect scalable data models ensuring performance and data integrity across domains.
• Write and optimize advanced SQL for analysis, dashboards, and automation.
• Oversee Tableau ecosystem governance, performance optimization, and user enablement.
• Use Python to automate workflows and build repeatable analytical frameworks.
• Develop and maintain advanced Excel models integrated with BI tools for ad-hoc analysis.
• Collaborate with Data Engineering, Analytics, and Product to align BI with business needs.
• Champion best practices in visualization design and storytelling.
• Evaluate AI-driven efficiencies in BI with human oversight.

Skills

Leadership

Mentoring

Communication

Data storytelling

Tools

SQL

Python

Tableau

Excel

Presto SQL

PostgreSQL

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 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.

What You’ll Do

• 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.

What You’ll Need

• 5+ 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 off
• Competitive medical, dental & vision coverage
• 401K with company match for US
• Company-paid life insurance
• Company-paid short-term and long-term disability
• Access to mental health and wellness resources
• Company-paid volunteer time to do good in your community
• Legal coverage and other supplemental options
• A value-based culture where growth opportunities are endless

More:

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 atwww.snapfinance.com.

California Residents, please review our California Consumer Privacy Act Notice athttps://snapfinance.com/ccpa-notice