Senior Data Analyst

Lisbon /
Data /
/ Hybrid
Bounce powers an 8,000-location network of local businesses offering luggage storage, package acceptance, and more. Our goal is to build the largest tech-enabled two way market platform for retail chains and travelers to come together.  We aim to build a seamless and easy to use app -  the “OS for brick & mortar SMB stores” powering new revenue channels at the "flip of a switch."

To do so, we are looking for committed builders who love to travel and align with our core values; innovative, results driven, scrappy, visionary and loves building a company.  Bounce's global office is in Lisbon, Portugal. We’re backed by some of the top investors (Andreessen Horowitz and General Catalyst) in Silicon Valley and have an outstanding team that is continuously pushing the edge on what we can achieve. Read more about Bounce's Series A led by a16z here!

Decisions are at the foundation of every Bounce experience. As a data team member, you will work in a dynamic environment, embracing moving quickly to ensure data is at the heart of Bounce’s products and decision-making.

Being part of a small team in a growing startup means that no day will look like the previous one. You will partner with all teams across the company and be working on all parts of a data project lifecycle. From understanding business requirements to building dashboards or coming up with new ideas of analysis to conduct or datasets to integrate, you will play a critical role in the success of Bounce!

👷🏾‍♀️ What you’ll be doing

    • Partner with product managers, engineers, and operations to understand their business needs and translate them into analytical insights
    • Design and analyze experiments; communicate results and act on launch decisions
    • Develop and maintain our analytics pipeline, from data transformation to implementation of dashboards
    • Collect new data and conduct analysis to identify growth opportunities 
    • Advocate for the adoption of self-serving analytics across the company 
    • Be an owner, taking a personal stake in the success of the product and the team

✅ Your profile

    • Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
    • 3+ years of industry experience in a data analytics role
    • Experience working with cloud based data warehouses (we use Bigquery)
    • Advanced proficiency in SQL (knowledge of CTE and windows functions) 
    • Experience building dashboards in BI tools (we use Metabase)
    • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
    • Avid learner and practical problem solver
    • Professional proficiency in English, written and spoken.
    • Plus: data modelling experience (we use dbt) 
    • Plus: familiar with modern data stack tools (ELT in warehouse) 

🎁 We offer

    • Work at a well-funded and proven startup with large ambitions
    • Competitive salary
    • Generous equity package
    • Private health insurance
    • Flexible vacation/time-off policy
    • All federal holidays are observed
    • Hybrid workplace. You’re free to work from anywhere, but you’re always welcome in our offices!
    • Entrepreneurial culture where pushing limits and taking risks is everyday business
    • Open communication with management and company leadership
    • Small, dynamic teams = massive impact
About Working at Bounce

Bounce’s hybrid workplace is located Lisbon, Portugal. By applying to this position you will have an opportunity to share your preferred working location from the following:

- In-office locations: Lisbon, Portugal

Bounce is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about people. Without our people being their most creative and innovative selves, we are nothing.