Data & Analytics Lead at TicketManager
Job Description
Live events are fun.
Concerts, sporting events, and festivals create memorable lifelong experiences with clients, prospects, partners, friends, and family—and they drive real business impact.
Companies spend more than $600 billion each year on client entertainment. TicketManager is the enterprise platform they trust to source, manage, track, and report on live event tickets and hospitality—while maintaining compliance, control, and visibility across the organization.
Built at the intersection of live events, technology, and enterprise operations, TicketManager makes client entertainment easy and measurable. Our industry-leading software supports everything from invitations and event execution to post-event reporting, helping companies clearly prove ROI and strengthen relationships through unforgettable experiences.
TicketManager is trusted by thousands of global brands, including Anheuser-Busch, Verizon, American Express, Nike, and Visa, as well as Fortune 500 companies, professional sports leagues, and major organizations such as the NBA, NFL, NCAA, and NASCAR.
We’re also proud to partner with some of the most iconic teams and venues in sports and entertainment, including the New York Jets, Philadelphia Eagles and Phillies, Capital One Arena, Texas Rangers, LAFC, and Seattle Seahawks, along with more than 50 professional and collegiate teams, franchises, universities, and technology providers.
Why Work at TicketManager
At TicketManager, you’ll help build technology that brings people together through live experiences—while solving complex, real-world problems for the world’s best companies. We’re a fast-growing, profitable company that values ownership, collaboration, and excellence, and we’re building a team that’s passionate about making work impactful and fun.
If you’re excited about live events, cutting-edge technology, and doing work that truly matters, you’ll feel right at home here.
The Role:
The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already a heavy Power BI shop; your mission is to take our existing footprint to the next level. You will manage our Data Lake (AWS or Azure), scale our Power BI Fabric implementation, and act as a high-speed technical partner for every department—from Sales to Fulfillment. This is a role for a curious, experimental builder who loves solving complex puzzles under tight deadlines and providing the "speed to insight" that keeps our executive team moving.
Responsibilities:
Power BI & Fabric Power-User
- Advance the Stack: Take ownership of a mature Power BI environment. Optimize existing dashboards for performance and design "next-gen" visualizations in Power BI Fabric.
- New Development: Rapidly build and deploy new dashboards that track emerging business initiatives across the organization.
- Deep-Dive DAX: Write and troubleshoot complex DAX and Power Query (M) to ensure our metrics are accurate and performant.Data Lake Architecture & Management
- Lake Ownership: Manage and optimize our Data Lake environment (AWS or Azure). Ensure data is clean, accessible, and structured for high-performance reporting.
- Cross-Org Integration: Ingest data from disparate sources (Dynamics, Zendesk, Atlassian, and application data) into a unified layer that allows for cross-departmental analysis.
- Experimental Engineering: Be open to testing new tools, connectors, or AI-driven data processing methods to find the most efficient path to an answer.High-Velocity Ad-Hoc Analysis
- The "Human API": Act as the primary point of contact for "quick questions" from leadership. You must be able to pivot from a long-term project to a 30-minute deep-dive to answer a pressing business question.
- Cross-Departmental Projects: Manage a rotating queue of projects from different teams. One day you’re helping Finance with billing reconciliation; the next, you’re helping Support track ticket deflection.Curiosity & Experimentation
- Stay Hungry: Constantly look for better ways to visualize data or automate reporting. We want someone who asks "What if we tried this?" instead of just following a ticket.
- AI Integration: Explore how AI features within the Power BI/Fabric ecosystem (like Copilot for Power BI) can be used to speed up our internal workflows.Desired Skills and Experience:
- Bachelor’s degree required (Computer Science, Mathematics, Statistics, or related field preferred)
- 3–5 years of experience in a data analytics, BI, or data engineering-adjacent role
- Expert-level proficiency in Power BI, including advanced DAX, Power BI Service administration, and experience with Microsoft Fabric and/or Lakehouse architecture
- Strong hands-on experience with cloud-based data platforms, including AWS (S3, Redshift) and/or Azure (Data Lake, Synapse)
- Advanced SQL expertise with the ability to write complex queries across large, disparate, and legacy datasets
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