Application Guide

How to Apply for BI Developer - 12 Month FTC

at Too Good To Go

🏢 About Too Good To Go

Too Good To Go is a mission-driven company fighting food waste by connecting users with surplus food from stores and restaurants. Joining means contributing to a tangible environmental impact while working with a passionate, global team. The company's B Corp certification and rapid growth make it an exciting place to drive change through data.

About This Role

As a BI Developer on a 12-month fixed-term contract, you'll own the technical design and development of BI products for the Parcels business—a key growth area. Your work will enable commercial performance tracking, forecasting, and inventory optimization, directly influencing operational efficiency and waste reduction. This role is critical in transitioning from manual processes to scalable, governed reporting.

💡 A Day in the Life

Your day might start with a stand-up with the Parcels analytics team to prioritize reporting needs. You'll then dive into LookML development, modeling new data sources from the warehouse, and iterating on Explores with stakeholders. Afternoons could involve pairing with a Data Engineer to define a new fact table for inventory optimization, followed by a demo of a new dashboard to the business team.

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Interview Prep

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🎯 Who Too Good To Go Is Looking For

  • Experienced in BI Engineering with a strong focus on semantic modeling and governed reporting, not just dashboard creation.
  • Proficient in Looker and LookML, with a track record of building performant Explores and dashboards that drive business decisions.
  • Skilled in dimensional data modeling, designing reusable semantic layers and conformed dimensions for consistency.
  • Adept at partnering with Data and Analytics Engineering teams to influence warehouse structures for analytical scalability.

📝 Tips for Applying to Too Good To Go

1

Highlight specific LookML projects where you designed semantic models and Explores, emphasizing performance optimization and governed KPI definitions.

2

Showcase experience with the Parcels business context—if you've worked on logistics, inventory, or last-mile delivery analytics, mention it explicitly.

3

Quantify impact: e.g., 'Reduced reporting time by X%' or 'Enabled Y% improvement in forecast accuracy through scalable BI solutions.'

4

Tailor your resume to emphasize migration from manual processes (like Google Sheets) to automated reporting—this is a key need.

5

Mention your experience with data warehouse modeling (e.g., star schemas, conformed dimensions) and collaboration with data engineering teams.

✉️ What to Emphasize in Your Cover Letter

["Your passion for sustainability and alignment with Too Good To Go's mission to reduce food waste.", 'Your technical expertise in Looker/LookML and dimensional modeling, with concrete examples of building scalable reporting solutions.', 'Your ability to partner cross-functionally with data and analytics teams to influence data models for business needs.', 'Your experience in replacing manual reporting with automated, governed systems, driving efficiency and data trust.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Understand Too Good To Go's business model: how the app works, the Parcels business (surprise bags), and their impact metrics (e.g., meals saved).
  • → Read about their data stack: Looker, warehouse (likely BigQuery or Snowflake), and any public case studies on their analytics.
  • → Review their blog or press releases for recent initiatives, especially around Parcels or sustainability reporting.
  • → Check their career page and LinkedIn for insights into team culture and values (e.g., 'We Are Warriors' values).

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through how you would design a LookML model to track commercial performance for a parcels business, including key dimensions and measures.
2 Describe a time you influenced data warehouse design to improve analytical scalability. What trade-offs did you consider?
3 How do you ensure governed KPI definitions across different teams and reports? Provide an example.
4 Explain your approach to optimizing Looker performance for large datasets. What LookML techniques do you use?
5 How would you partner with Analytics Engineering to define a semantic layer that balances flexibility and consistency?
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⚠️ Common Mistakes to Avoid

  • Focusing only on dashboard design without demonstrating semantic modeling and governance—this role is about the foundation, not just visuals.
  • Ignoring the Parcels context: generic retail or e-commerce experience may not fully align; emphasize logistics or inventory if applicable.
  • Not showing collaboration with data engineering: this role requires influencing warehouse design, so highlight cross-functional work.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Too Good To Go!

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