What's It Like to Work at Fora?

What’s it like to work on the data and analytics team at Fora?

Working on the data science team means solving a wide range of problems and building from the ground up. Our team is lean, so much of our work is 0 → 1. 

Since joining Fora as our first analyst hire two years ago, I’ve had the opportunity to work on a lot of foundational projects. For example, I was the first person to train and deploy an ML predictive model, which meant partnering closely with marketing, engineering and RevOps. That project helped address a real business problem (routing leads to the sales team) while also establishing how our team approaches this type of work.

Having that level of ownership has also given me the opportunity to grow quickly. Today, I manage a small pod that supports our marketing team. There’s a lot of room here to build, take on new responsibilities, and shape both your own role and the growth of the team.

What makes data work at Fora meaningful or satisfying?

I joined Fora because I wanted to sharpen my data skills, understand a business more deeply and get better at answering “why” questions. I love getting the chance to really dive into a problem and ask questions like, “Why did a metric move?” and “Why do some advisors perform better than others?” 

I’m happy to report that happens pretty often here, and I find it incredibly satisfying. But the best part is turning that work into something useful for someone else. There’s nothing more rewarding than feeling like you genuinely helped solve someone’s problem.

What should candidates know about the impact data professionals can have on your business?

Being a data professional at Fora means acting as both an advisor and an enabler for our stakeholders. A few years ago, we wrote a team charter that hardcodes this principle into everything we do: help others make better, faster decisions with data and insights.

That mission shows up in many different ways. We work closely with teams to set goals and define how to measure them. We build the data models and tools they use to understand performance. We design and evaluate experiments, run causal analyses and help teams become more confident using data on their own.

The partnership itself is also a big part of the job. We regularly meet one on one with stakeholders to discuss upcoming questions and projects, and because our team works in bi-weekly sprints, we collaborate with them on prioritization. To do this means being a great listener. Often, the most valuable thing we can do is help someone turn a broad question into the right analytical question before we ever touch the data. When you combine that curiosity with clear communication and trust, there’s a huge amount of impact you can have at Fora.