Lead BI Analytics Engineer to Drive Insight & AI Wins

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

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.