Senior Data Analyst

About Topanga

At Topanga, we’re transforming kitchen operations with AI-powered solutions that help leading commercial kitchens waste less and save more. Our products, including the award-winning ReusePass program and StreamLine, a food waste mitigation and workflow automation tool, are used by industry leaders to drive measurable impact and cost savings. Win. Win.

We’re an early-stage technology company with product-market fit, entering our next phase of explosive growth. We have a strong sense of mission and direction, accompanied by constant testing and iteration.

Our team is a passionate mix of technologists, foodies, designers, and problem solvers who believe that building efficient systems can create a future of abundance. We’re passionate about solving hard problems—through questioning, debate, and ultimately committing to a shared direction, we create solutions that matter.

What to Expect

Today, we're a remote-first team with a main office hub in LA, where the team goes in 2-3 days per week. The rest of our team is distributed across the U.S., with a growing presence in NYC. We strive to compensate and offer benefits that are above market for the given role and stage of the company. Pay may be a combination of salary, commission, and/or equity depending on role and seniority. Full time employees are eligible for health benefits and 401k enrollment.

You should expect a self-regulated PTO policy and a culture that promotes using at least three continuous weeks every year. (Yes, 12 days of camping with no cell service is encouraged—fresh air is good for us). We sign off at 2:30 p.m. on Fridays, observe long weekends, and respect that some days, you wake up and your head just ain’t in it.

We encourage each other's pursuit of hobbies, passions, and experiences outside of work. We acknowledge that careers tend to be zig-zags, not straight lines. This is great as long as the time spent working is fulfilling. Basically, our jobs do not define us, but they can add purpose.

About the Role

As an early member of the Analytics team, you’ll join the Head of Data and Financial Analysis building a clean, consistent, accessible, and always-on representation of business performance as the business evolves. You’ll embed deeply with key stakeholders in the Technology and/or Growth departments to drive decisions that move the needle for the business.

Who You Are

You are a lover of all things data. You can distill answers to business questions into quantitative perspectives by building data sets with SQL and/or Python. You not only enjoy collecting and building the data sets to perform analysis on, but you also think building visualizations and reports on top of this analysis is a critical part of bringing insights to the business. You probably have experience using business intelligence visualization tools like Tableau, PowerBI, Looker, Hex, etc. You’ve used git, and may have some analytics engineering or data engineering experience or interest in learning, but you already know that designing processes for reuse and maintainability is essential.

Beyond the technical, you are an excellent communicator. You can take complex data sets and analysis and provide outcomes to business stakeholders and customers that answer the questions they want to know as well as the questions they didn’t know to ask. You can work autonomously, define your own deliverable timelines, and hit them. You are curious about what drives different parts of the business to perform. One day you may be building a report that looks at customer support trends and the next day you may be delivering a revenue analytics insights to the CEO. You may not have all the answers, but can work with senior business owners to help them achieve their objectives.

You want to be a very early member of a data team that the business has a long term commitment to. You share a belief that without measurement, the business suffers. You want to be an owner of the way the business uses analytics to make good decisions and perform at the highest level. You care about the company mission to reduce waste.

• 3+ years of experience working with data in fast-moving, high-growth business settings.
• Solid SQL knowledge (we use Snowflake primarily).
• Knowledge of best practices in analytics engineering (we use dbt primarily).
• Power user of business intelligence tools (we use Hex primarily).
• Able to make statistically valid inferences from data.
• Awesome communication and presentation skills.
• The ability to work solo and as part of a team.
• Curiosity, quick learning, with a love for documentation and knowledge-sharing.
• A love for data and a desire to make a real impact.

Please include your resume and a brief cover letter.