Senior Data Analyst

Leap Event Technology is a remote-friendly company. This position is open to any candidate in North America.

WHO WE ARE:

Leap is revolutionizing the event technology industry by empowering organizers to create experiences that are more engaging, more thrilling, and more impactful than ever before. Our all-in-one suite of ticketing, mobile apps, experiential marketing, and patron management tools, combined with our expert marketing services, allows organizers to drive nonstop engagement and capture all customer data from their entire event. That’s why iconic brands like New York Comic Con, Bonnaroo, Illuminarium, and the NHL choose us to power their events.

We are a diverse and passionate team of event experts and fans who are dedicated to helping organizers transform their event experiences. Like our clients, we live and breathe events. We take our passion, knowledge, and hands-on experience and apply it to our work every single day. With offices in Dallas, Montreal, and Sydney, and an expansive remote workforce across the globe, our diverse backgrounds give us the experience needed to create incredible events for any industry, anywhere in the world.

We are seeking a Senior Data Analyst to lead our client-facing data initiatives. This role will sit at the intersection of analytics, marketing optimization, and data intelligence. You will design and deliver high-impact analytics services, optimize data for conversion-driven marketing, and enable stakeholders with actionable insights.

The ideal candidate is hands-on with data warehousing, fluent in SQL, comfortable with data modeling, and experienced in transforming raw data into clear narratives that drive client value. We are looking for someone eager to go beyond traditional analytics by harnessing Generative AI (GenAI) to elevate data intelligence, streamline data processes, and unlock transformative insights.

Sounds interesting? Let’s talk.

AS A SENIOR DATA ANALYST, YOU WILL:

• Data warehousing & modeling: in collaboration with the data engineering team, develop and maintain scalable data models, ensuring clean, reliable, and performant analytics environments.

• AI for data engineering: Ensure the accuracy, consistency, and usability of data delivered by data engineering teams by conducting thorough quality assurance checks, validating business rules, and preparing datasets for advanced analysis and reporting

• Advanced analytics, ML & GenAI: apply advanced statistical analysis, machine learning and generative AI techniques to optimize campaigns, improve client outcomes and identify patterns or correlations that drive informed decisions

• Visualization & storytelling: develop and maintain interactive dashboards, visualizations, and reports to present actionable insights and support decision-making across the organization

• Data Solutions & Insights: Build self-service data solutions, deliver clear and actionable insights from complex analyses, and advance analytics capabilities through continuous evaluation of new tools and technologies

• Stakeholder engagement: collaborate with clients, business leaders and cross-functional teams to gather requirements, translate them into technical deliverables, and iterate solutions.

• Team Leader: Lead, mentor, and provide direction to data analysts, fostering professional growth and ensuring alignment with best practices.

EXPERIENCE & SKILLS:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field OR 5+ years of experience in data analytics or business intelligence, with at least 2 years in a senior or lead role.

• Strong proficiency with SQL and data modeling for analytics.

• Solid understanding of data warehousing fundamentals (Snowflake, Redshift, BigQuery, or equivalent).

• Familiarity with data science / ML techniques (e.g., regression, clustering, recommendation systems) and hands-on use in business contexts.

• Expertise in statistical analysis and modeling using tools such as Python, R and dbt.

• Strong skills in data