Analytics Solution Engineer

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
• Create analytics solutions that scale
• Build reusable analytics frameworks that make insights easier to produce and easier to trust
• Create 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
• A disciplined prompt engineer: you can consistently produce reliable outputs from LLMs by iterating prompts, structuring context, using grounded sources, and applying QA checks before anything reaches stakeholders
• A disciplined with prompt engineering; you produce reliable, QA’d outputs from LLMs before anything reaches a stakeholder
• Collaborative and systems-minded; you make the team and stakeholders faster, not just yourself
• Comfortable setting guardrails: you balance speed with governance, quality, and trust
• Enjoy experimenting with new tools, quickly separating signal from noise, and integrating practical improvements into repeatable workflows

Pay

$95,000 - $125,000

Schedule

Full-time employees are eligible for a robust slate of total rewards, including:

• Bonus eligibility
• Medical, dental, and vision coverage; HSA and FSA eligibility
• 401k Employer Match at 4%
• Competitive PTO policy & Company Holidays
• Parental leave policy eligible after 6 months of service
• Access to events at Barclays Center, subject to ticket availability
• Free lunch onsite Monday - Thursday; onsite barista bar
• And more!