As a Data Analyst, you’ll be the engine behind our customer operations intelligence. Your work will shape how we track performance, optimize service, and deliver insights to our partners.

You will:

• Own and develop our data warehouse infrastructure, with a strong focus on scalability and usability.

• Build and maintain internal dashboards and self-serve tools that power our customer operations team.

• Collaborate closely with Engineering, Product, and Ops to ensure data is clean, structured, and actionable.

• Write clean, production-grade SQL queries to model business logic and operational KPIs.

• Maintain and continuously improve our data documentation so others can build on your work.

• Stay curious: we’re excited by fresh thinking, bold ideas, and new tools that challenge the status quo.

This is a high-impact role where your work will directly influence decision-making, operational efficiency, and customer outcomes.

You might be a strong fit if you:

• Have 3+ years of experience working with modern data stacks in fast-paced environments.

• Are fluent in SQL, and comfortable working in BigQuery and Looker.

• Are excited to help design (and redesign) our data architecture and modeling layer as the business scales.

• Take pride in clear documentation and reproducible data pipelines.

• Are comfortable making trade-offs and communicating with technical and non-technical stakeholders.

• Thrive in ambiguity and enjoy building systems from scratch rather than optimizing something legacy.

Bonus points if you:

• Have experience supporting customer-facing teams with real-time data tools.

• Have worked in or alongside operations, support, or logistics functions before.

• Have opinions on the modern data stack—and the drive to improve it.

We move fast — while making sure it’s a great match on both sides. Here’s what to expect:

• Founder Interview – 45 minutes

  Deep dive with our CPO, Ben, focused on vision, builder mentality, and your appetite to be part of a breakout company.

• Technical Exercise – 1 hour

  You’ll collaborate on a challenge with our team, followed by a conversation around how we work with data at Maki.

• Value Fit – 30 minutes

  Meet our CEO, Max, who will assess your fit with our values and operating principles.

• Reference Checks – Short conversations with 2 people you’ve worked closely with; the more senior, the better.

• Final Wrap-Up – An offer call (and ideally celebration!)