Data Analyst

Burq started with an ambitious mission: to turn the complex process of offering delivery into a simple, turnkey solution. It’s a big mission, and now we want you to join us in making it even bigger. 🚀

We’re proud to be recognized as one of Fast Company’s Best Workplaces for Innovators and a 2025 Inc. Magazine Power Partner, awards that highlight how we’re redefining the future of logistics while empowering our partners to grow.

Backed by leading Silicon Valley investors like Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely, we’ve built a world-class team across the globe.

We operate at scale but remain small enough for every person to have a massive impact. There’s a lot of important work ahead, and joining Burq means the opportunity to grow faster than ever while doing the most meaningful work of your career.

Here’s a quick overview of what you will be doing:

We're hiring a Data Analyst to be the go-to person for data at Burq. Your job is straightforward: answer business questions with data, and build the dashboards that let teams track what matters without coming to you every time.

Day to day, you'll field data requests from ops, product, and leadership — pulling numbers, building reports, and making sure the right people have the right visibility into delivery performance, provider reliability, and business health. You're not building data infrastructure; you're using it to drive decisions.

1-Dashboards & reporting

• Build and maintain business dashboards: create clear, reliable dashboards that give ops, product, and leadership a real-time view of KPIs like delivery success rates, provider performance, and order volumes
• Own the reporting layer: be the person who makes sure every team has the reports they need — and that those reports are accurate
• Standardize metrics: work with stakeholders to align on definitions for key business metrics so everyone's working from the same numbers

2-Data retrieval & ad hoc analysis

• Handle data requests: respond to ad hoc queries from ops, product, CS, and leadership — pull the data, frame the answer, and present it clearly
• Write SQL queries: extract and aggregate data from Snowflake to answer specific business questions quickly and accurately
• Spot trends and anomalies: proactively flag unusual patterns in delivery data — don't wait to be asked

3-Business partnership

• Work directly with stakeholders: understand what ops and product teams actually need to know, not just what they asked for
• Present findings clearly: translate data into plain language — your audience is operators and executives, not engineers
• Iterate on reports: gather feedback and keep dashboards relevant as the business evolves