Sr. Business Systems Analyst
Summary
Spark is looking for a Senior Business Systems Analyst to own process improvement across our core business systems — someone who thrives on taking the tools we already have (Airtable, Intercom, Salesforce, Dialpad, Notion, Calendly, and more) and building smarter, more automated workflows on top of them. We're looking for someone who can zoom out from any single workflow and ask, "Is this even the right process to automate, or should we be solving this differently?" You'll partner directly with leadership and cross-functional teams to define the right problems to solve, build a point of view on where automation creates the most leverage for Spark, and shape the roadmap for process and AI investment across the business.
This isn't a "rip and replace" role. It's a "make what we have work harder for us" role. You'll spend your time mapping how work actually moves through our systems, finding where time and accuracy get lost, and building / redesigning those processes with automation and AI — always with an eye on how it impacts the people doing the work and the customers on the other end of it.
AI leadership is core to this role, not optional. We expect you to be fluent in applying AI to real operational problems — agents, LLM-based workflows, AI features inside our existing tools — and to help the rest of the team build that fluency too. You'll be the person others come to when they're asking "could AI help with this?" and the one who knows where AI creates real leverage versus where it doesn't.
This is a hybrid role based at our NYC office.
What you’ll do
Build and improve workflows across Airtable, Intercom, Dialpad, Notion, Calendly, and more, getting more out of the tools we already have and using automation and AI.
Map how work actually moves through our systems, quantify where time and accuracy are lost, and recommend whether a process should be automated, redesigned, or retired.
Work directly with teams across the business to turn open-ended problems into scoped, working solutions, with minimal hand-holding and clear communication along the way.
Lead integrations and ongoing improvements across our core systems, understanding how each platform’s capabilities and dependencies fit together so workflows run cleanly end to end.
Own the reliability, scalability, security, and compliance of what you build, including careful handling of sensitive data in a regulated environment.
Manage data integrations from external partners and internal systems so data is clean, connected, and ready to support decisions.
Be a go-to resource for how we use our tools, including where AI can help your teammates and where it can’t.
Document what you build so technical and non-technical colleagues can use, maintain, and trust it.
Bring prioritized recommendations to the roadmap, backed by data on impact and effort.
What we’re looking for
5+ years in operations, systems, consulting, or data roles, with a track record of building and shipping automations or workflow solutions that non-technical teams rely on.
Hands-on expertise building in Airtable or Intercom (or a very comparable tool), and the ability to pick up the others quickly.
Real experience applying AI to operational problems, such as agents, LLM-based workflows, Claude Code, or AI features inside business tools. You can speak to what worked, what didn’t, and why.
Strong analytical and problem-solving skills: you can untangle messy data and workflows, find the root cause, and fix it.
The ability to translate complex business logic into reliable technical processes, with the care to catch edge cases before they reach production.
Clear, credible communication with stakeholders at every level. You can scope an ambiguous request, push back when needed, and keep people informed without being chased.
A habit of measuring, iterating, and improving what you’ve built based on feedback and results.
Nice To Haves
Experience with Dialpad, Salesforce, Notion, Calendly, or Google Sheets
SQL, Python, or BI tool experience
Experience with AI APIs, agent frameworks, or automation platforms (Zapier, Make, or similar)
Experience with AI or automation in a regulated environment, especially healthcare or insurance
CompensationOur salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Spark. In accordance with New York City, Colorado, California, and other applicable laws, Spark is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. A reasonable estimate of the current salary range is listed below. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash.
Base Salary
$115,000—$145,000 USD