Data Analyst at Boost inc (B2B Tech)

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Proven experience in data analysis and BI tools like Tableau and Superset., Strong analytical skills with the ability to translate business needs into data solutions., Excellent communication skills in English and ability to collaborate across teams., Knowledge of data governance principles and experience managing dashboards as data products..

Key responsibilities:

  • Collaborate with various teams to understand and translate business needs into analytical solutions.
  • Develop and maintain BI dashboards and reports for decision-making.
  • Ensure data quality and operationalize insights with data and ML engineers.
  • Identify KPIs, trends, and growth opportunities through data storytelling.

Boost inc logo
Boost inc https://www.boostinc.com
51 - 200 Employees
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Job description

Your Mission
We’re one of the fastest-growing companies in unattended retail tech - 150+ people, 5 countries, hundreds of customers, and a product that’s redefining how the world shops.

We are looking for an experienced Data Analyst to join our growing data team.
We’re looking for someone who thrives in a scale-up environment and  enjoys structuring and managing BI platforms by implementing data governance principles to ensure consistency, reliability, and secure access.


As our data analyst, you will play a key role in supporting Boostbar (our fast-growing operator in Switzerland) as well as Boost inc’s technology teams. You will turn data into actionable insights for both internal and external stakeholders.
What You'll Do
  • Collaborate cross-functionally with operations, sales, category management, and finance teams to understand business needs and translate them into robust analytical solutions.
  • Serve as a bridge between business and data teams, gathering requirements, defining technical specs, and ensuring alignment throughout projects.
  • Develop and maintain BI dashboards and reports to support strategic and operational decision-making across the organisation.
  • Work with data and ML engineers to ensure data quality and to operationalise insights (e.g., forecasting, recommendations), while proactively identifying KPIs, trends, and growth opportunities through effective data storytelling.
What You'll Bring
  • Strong analytical background, with experience in BI tools (e.g., Tableau, Superset) and a proven ability to translate business needs into actionable data solutions.
  • Skilled in managing dashboards as data products, ensuring quality, usability, and clear documentation.
  • Excellent communicator, fluent in English, with a track record of collaborating effectively across cross-functional teams.
  • Bonus points for Python skills, experience with cloud-based platforms like Databricks, background in retail/FMCG/vending, and additional language proficiency (especially German or other European languages).
Why Join Us?
  • Exceptional learning opportunities. You will be part of a fast growing scale-up with a dynamic team, with the opportunity to learn from a highly talented group of people and have a real impact across the company.
  • The chance to work at the intersection of technology and operations, influencing critical business decisions.
  • Offices in Zurich, London, and 4 other countries - but no office politics
  • The usual: budget for personal development
About us
Boost inc is a global leader in unattended retail technology, redefining traditional vending by transforming it into modern, digital retail experiences. Headquartered in Switzerland, with a dedicated technology hub in the UK, our team of over 150 professionals works across Zurich, London, and offices in four additional countries. Since our founding, we’ve empowered more than 400 customers across Europe and beyond - including vending operators, OEMs, and consumer brands - with cutting-edge solutions designed to drive operational efficiency, business growth, and engaging consumer experiences.


Here you can find more information: 
www.boostinc.com / www.boostbar.ch

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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