Full Stack Data Analyst
Close
Full Stack Data Analyst
Close
Subscription-based CRM to boost sales productivity
đź’« This job description was written by a person
Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale.
We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales.
Our GTM org has a lot of questions. Most of the questions we care about can’t be answered by spinning up a cute dashboard. Is branded search creating new customers or capturing demand that already existed? Did the homepage redesign improve conversion, or did our traffic mix change? If we’ve got some wild ideas for our next bet, where should the money go?
These kinds of big-picture questions require someone who can interrogate the metric, trace it through the warehouse, understand the business context, and turn it into action. This person will be our first Full Stack Data Analyst dedicated to GTM. You’ll work alongside GTM leadership to make consequential decisions while still staying hands-on in the nitty gritty of all the data.
The best part: the way we answer these questions is changing. Effective SQL is just a few tokens away, dashboards can be Claude-ed in minutes, and teammates increasingly expect to find their own answers. You’ll build the semantic layers, context, and guardrails that make self-service possible, even trustworthy, then determine where an analyst’s expertise is indispensable.
An experienced analyst. You have roughly 8 years of hands-on, highly technical analytics experience. Most importantly: you’re backed by the pattern recognition that comes with having seen all sorts of hairy problems. You’re at the point in your career where you can take an ambiguous business question, dive head-first into the data, turn your findings into a decision, and bring everyone else along with you.
A bridge between the technical and the business. You can build a model in dbt, work directly in Snowflake, and translate it into something actionable. You’ll partner closely with our Lead Analytics Engineer but you need to be willing and able to dive in and self-serve.
Fluent in the quirks of GTM data. Attribution, channel definitions, UTMs, bots and broken tracking are known quantities. You don’t need to have been a dedicated GTM Analyst, but you should certainly know your way around this part of the business.
Pushing the boundary of what AI means for analytics. AI is writing your first-draft SQL, analysis, and reporting and you’ve shifted that energy to bringing analysis into the future: building the semantic layers, context, and guardrails that let the team self-serve trustworthy answers.
A trusted cross-functional leader. Teammates across functions and levels listen to you. You immerse yourself in the context of their needs and bridge gaps in understanding.
Fiercely independent and accountable. You welcome a vague ask with aplomb. You’ll scope the problem, find the dependencies, bring in the right people, and drive the work through the analysis, recommendation…all the way to a fix.
More concerned with impact than output. A polished dashboard is useful only when it changes what we do. You prioritize the questions that can materially improve acquisition, conversion, retention, and revenue.
Make our GTM data trustworthy. You’ll define metrics, model the funnel from first touch through paid conversion, and reconcile discrepancies across Snowflake, Segment, Amplitude, GA4, and our ad platforms.
Explain what we’re seeing. Why are trials up while paid conversion isn’t? Why are Snowflake and Amplitude disagreeing? Which channel is driving volume but producing low-quality customers? You’ll dig into the data until we understand what changed and why.
Help decide what to do next. Are we on track to hit our goals? What would another investment in paid media produce? You’ll forecast, model the tradeoffs, and empower leadership to make the best possible decision.
Own the outcome. Whether you uncover something small like broken campaign tracking or you’re focused on moving a major business metric, you’ll bring in the right people and shepherd the team to the data-driven outcome.
Define the next era of Data at Close. You’ll help us move from a queue of reactive requests to a system where an agent spots changes, assembles the context, and gets the right insight to the right person at the right time.
Compensation: Competitive pay plus an organization-wide goal-based bonus
Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close.
80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay
Parental Leave: Paid leave for primary and secondary caregivers
Sabbatical: A 1-month paid sabbatical every 5 years with the team
Healthcare (US residents): Best-in-class health coverage with the majority of employee and dependent premiums covered. Two medical plans, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability.
401k (US residents): We match your contributions up to 6%, vested immediately
Build a house you want to live in - Examine long-term thinking and action
No BS - Practice transparency and honesty, especially when it’s hard
Invest in each other - Build successful relationships with your coworkers and customers
Discipline equals freedom - Keep your word to yourself and others
Strive for greatness - Constantly challenge yourself and others
Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint.
Watch our culture video from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany!
Explore our product. Check out a demo!
We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume.
We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered.
Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy.
If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.
Close provides a subscription-based CRM platform for startups and SMBs to manage customer communications and reduce manual data entry. The cloud-based product uses an easy interface with automation to streamline sales, capture and organize customer data, and is available on monthly or annual plans. It differs from competitors by being bootstrapped and profitable with a fully remote team of about 90, emphasizing autonomy, asynchronous communication, transparency, and trust without micromanagement. The goal is to double the productivity of sales reps by simplifying CRM workflows and automating processes while supporting a scalable, globally distributed team.
Explore more opportunities at Close