Business Intelligence Engineer

LEARFIELD

. Build and scale business intelligence as a service .

Posted 10/9/2026full-timeRemote • United StatesMid-LevelSenior💰 $100,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and scaling business intelligence solutions, delivering actionable insights through data engineering, analytics, and visualization. Proficient in SQL, cloud data warehouses, and modern data visualization tools to create reliable and impactful analytics.

Highest-signal resume keywords

Business Intelligence DeliverySQL ProficiencyCloud Data Warehouse ExperienceDashboard DevelopmentData Engineering Expertise

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLData ModelingData VisualizationETL ToolsPythonRData AnalyticsPredictive ModelingStatistical ModelingRoot-Cause Analysis

Soft Skills

Curiosity-Driven MindsetFeedback ComfortAdaptability

Tools & Technologies

SnowflakeAWSTableauModern Data Stack

Industry Keywords

Live EventsTicketingSportsFundraisingCollege AthleticsAI-Driven Analytics

Tech Stack

Tools & technologies

AWSCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Build and scale business intelligence as a service
Deliver insights that create measurable value for clients
Design, own, and evolve end-to-end data solutions across data engineering, analytics, and data science
Develop and maintain dynamic dashboards using fundraising, ticketing, marketing, and other complex data sources
Lead client onboarding
Act as a long-term analytics partner to participating organizations
Ensure data accuracy and reliability through validation, monitoring, and root-cause analysis
Create data models and structures that power trusted, scalable analytics
Partner with Product, UI/UX, Customer Success, and fellow data engineers to deliver intuitive, high-impact solutions
Propose new analyses and help shape how insights are shared across clients and internal teams

Requirements

What you’ll need

4+ years of work experience delivering business intelligence or analytics to stakeholders across teams or organizations
Demonstrated experience in the ticketing/live events/sports space
Strong SQL skills
Hands-on experience with cloud data warehouses (Snowflake, AWS, or similar)
Experience building dashboards and reports using modern data visualization tools (Tableau preferred)
Curiosity-driven mindset with ability to connect patterns and turn data into clear, compelling stories
Passion for building accurate, useful, and actionable analytics
Comfort giving and receiving feedback
Willingness to stretch beyond your comfort zone
Experience with Python or R for predictive, statistical, or categorical modeling (preferred)
Familiarity with live entertainment, college athletics, or fundraising data (preferred)
End-to-end data engineering experience from source through warehouse to visualization/export (preferred)
Experience with ETL tools and modern data stack patterns (preferred)
Deep familiarity with Snowflake or similar cloud data platforms (preferred)
Exposure to AI-driven analytics use cases and interest in building data foundations for future AI capabilities (preferred)

Benefits

Comp & perks

Medical
Dental
Vision
Health Savings Account
Life Insurance and Other Insurance Plans
Flexible Paid Time Off (minimum 10+ days annually)
Parental Leave
20 Paid Holidays
401(k) + Match
Short/Long Term Disability
Annual discretionary bonus and/or sales compensation based on individual and company performance (eligibility may apply)