Analytics Solution Engineer at Brooklyn Sports & Entertainment

Brooklyn Sports & Entertainment creates bold, authentic, and unforgettable experiences that redefine sports, entertainment, and hospitality, The Brooklyn Way. As the parent company of marquee properties including the Brooklyn Nets, NY Liberty and Barclays Center, Brooklyn Sports & Entertainment operates at the intersection of live entertainment, premium hospitality, and community engagement. As it expands its existing portfolio, Brooklyn Sports & Entertainment now includes a media portfolio including Type.Set.Brooklyn and BK Mag, as well as Brooklyn Wine Club, and a hospitality business developing several location-based entertainment properties. Whether on the court, on stage, or in the workplace, Brooklyn Sports & Entertainment is driven by a pursuit of excellence—constantly evolving, innovating, and pushing boundaries to elevate its business and expand its fan base. The company is deeply committed to fostering a culture of belonging and inclusion, both internally and across its communities, ensuring that every interaction reflects its values of growth mindset, integrity, accountability and care. We are guided by our core values: • Integrity: Be intellectually honest at all times. Demonstrate the highest professional and ethical standards. • Care: Care for everything and everyone around us. Practice empathy, respect, and inclusion to promote an environment of excellence and success. • Growth Mindset: Develop ourselves and those around us. Experiment, learn, and improve from everything we do. • Accountability: Deliver on our word, take responsibility for our actions, and work in the interest of our team. SUMMARY We're looking for an Analytics Solution Engineer to modernize how our organization delivers and consumes data insights. This isn't a role for maintaining what exists; it's for someone who will raise the bar on how we work. You'll handle what a traditional data analyst does (responding to stakeholder requests, building dashboards, delivering analysis) but you'll do it faster and smarter by defaulting to AI-powered tools and workflows rather than relying solely on conventional BI tools. The defining trait we're hiring for is an AI-first mindset. You reach for AI early and often to accelerate discovery, analysis, prototyping, and delivery, while applying the judgment needed to keep outputs accurate and decision-ready. This is an individual contributor role that's equal parts hands-on and strategic. You'll work directly with business leaders, partner closely with data and analytics engineering, and build the frameworks and standards that become the new way we work. WHAT YOU WILL DO • Deliver insights faster using AI • Use AI across the full analytics workflow, including clarifying requirements, exploring data, generating hypotheses, drafting narratives, and prototyping solutions • Build repeatable prompt patterns and “ways of working” that make outputs reliable and consistent • Continuously evaluate new capabilities and integrate what matters into our analytics technology stack and workflows — with clear quality controls, documentation, and enablement • Build analytics solutions that scale • Design reusable analytics frameworks that make insights easier to produce and easier to trust • Build reusable frameworks and visualization patterns that scale • Create the "reference patterns" for modern analytics delivery and drive their adoption • Collaborate directly with stakeholders • Work with business leaders to translate ambiguous problems into clear decision paths, success metrics, and insight deliverables • Deliver crisp, defensible insights that connect what happened -> why -> what to do next • Own complex analyses end-to-end, especially for new insight products or high-stakes decisions • Partner with engineering to ensure durability • Build with data engineering to ensure solutions are grounded in governed definitions and scalable data foundations • Contribute hands-on where needed: validate logic, pressure-test edge cases, and ensure performance and maintainability in production analytics environments WHAT YOU WILL BRING • 4+ years in analytics / BI / analytics engineering / decision support roles with significant stakeholder ownership. • AI-first work style: you habitually use AI to accelerate how you think, build, and communicate—and you can explain your approach. • Proven record of building solutions that scale beyond one-off requests (frameworks, reusable assets, standards, adoption-focused delivery). • Strong data storytelling and stakeholder leadership: you can turn ambiguity into aligned decisions and clear recommendations. • Strong SQL and deep comfort working directly in Snowflake to validate logic, troubleshoot discrepancies, and build repeatable analyses a plus. WHO YOU ARE • A builder with a “pilot-and-scale” mindset: you test new approaches quickly, measure impact, and operationalize what works into repeatable standards. ...