Strategic BI Analytics Lead

Snap Finance US; West Valley City (UT); On-site; USD 120,000 - 180,000; 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

Legal coverage

Job summary

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.

Qualifications

• 5+ years in BI engineering, data analytics, or related technical field.
• Deep SQL expertise with data modeling experience.
• Proficiency in Python for data processing and automation.
• Expert Tableau and Excel skills for dynamic dashboards.
• Experience with star/snowflake schemas and KPI standardization.
• Ability to translate stakeholder needs into technical requirements.
• Interest in AI and automation to improve BI processes.

Responsibilities

• Lead the design, development, and maintenance of high-impact BI dashboards.
• Collaborate with stakeholders to translate needs into KPIs and requirements.
• Architect and maintain scalable data models across data domains.
• Write and optimize advanced SQL for analysis and pipelines.
• Oversee Tableau ecosystem, governance, and performance optimization.
• Use Python to automate workflows and enrich datasets.
• Mentor analysts and BI developers to raise team capability.
• Advise on AI-driven efficiencies while maintaining data integrity.

Skills

SQL expertise

Python

Tableau

Excel advanced

Stakeholder mgmt

Mentoring

Data visualization

KPI design

Tools

Presto

PostgreSQL

R/Shiny

Job description

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.