Data Analyst

Crafty elevates workplace food and beverage programs with enhanced services managed in one innovative, centralized platform. Founded in 2015, our mission is to help companies craft better workplaces. From Draft Kings to Robinhood to Zillow, we work with the world’s biggest brands to foster a culture of employee connectivity and productivity. Headquartered in Chicago, with offices in New York and the Bay Area, Crafty manages food and beverage programs across 300+ offices, serving more than 300,000 employees per month.

Our commitment to crafting better workplaces starts from within. We are a team of passionate, resourceful, and hard-working trailblazers who love what we do. Our expertise spans technology, food and beverage operations, client success, fulfillment and more. At Crafty, our people are our greatest asset, because it's our people who foster a culture that makes our company a place worth being part of.

And of course, the snacks are the cherry on top!

This role is at the core of Crafty’s value “We Are a Team” by working with and ensuring our data is easily accessible and understandable for the larger team. This is a growing function within the company and we’re looking for someone who is excited at the prospect of building out new data sources, creating reports, analyzing data and thinking long term about our data strategy.

By joining this small but mighty team you will have the opportunity to shape the department's long term strategy while also having an immediate impact by elevating the analysis and decision making across all departments.

• Technical Problem Solving – Strong ability to break down and resolve technical challenges efficiently. You are comfortable working across different tools and technologies and take a hands‑on approach to troubleshooting and optimizing analytical workflows. You may not know every system inside out, but you know how to best use existing tooling for different scenarios
• Effective Communication – Able to clearly communicate data findings and technical decisions to stakeholders across teams. You ensure clarity and alignment by tailoring your communication to your audience, whether they’re technical partners or business leaders. You contribute to transparency in cross‑functional projects and help teams make informed decisions.
• Team Contributor & Growth Mindset – You take ownership of your work and consistently deliver high‑quality results. You actively support your teammates by sharing knowledge, offering feedback, and seeking out opportunities to learn and grow. You lead by example in taking initiative and continuously developing both your technical and soft skills.
• Curious & Impact‑Driven – You approach problems with curiosity and a mindset of continuous improvement. You’re energized by solving real business problems and enjoy finding opportunities where data can drive value. You're open to exploring new tools or methodologies that can improve impact or efficiency.
• Adaptable & Solution‑Oriented – Comfortable working in a fast‑paced, evolving environment. When faced with ambiguity or change, you focus on what you can control and proactively seek out solutions. You stay focused on outcomes and collaborate well across teams to help keep work moving forward.

• 2+ years of experience working in data‑related roles
• Strong Technical background with Postgres, Snowflake, ETLs/ELTs, DBT, Tableau
• 2+ years of SQL experience
• Have worked with data visualization software (e.g. Tableau, Looker, etc.)
• Prior experience with AI Tooling / Projects

• Gaining a full understanding of our database, the data we collect, and helping other business units understand our capabilities
• Synthesizing large data sets in order to generate actionable insights that help a team monitor and achieve departmental goals
• Building out data sources and reports in Tableau
• Working cross functionally to help understand the reporting needs and priorities of each department
• Helping the leadership team make high impact decisions
• Identifying areas of automation to help improve operational efficiency of different departments
• Trialing out new technologies and AI…