Two is bringing the very best of B2C e-commerce to B2B. We’re passionate about building solutions that enable B2B Merchants to sell more, faster, and more efficiently. Growing 30% month-on-month, our goal is to become the world’s largest B2B payment solution by 2027. We’re backed by the very best VCs in the world — raised over €30m from Sequoia, Shine, Local Globe, Antler, Posten and influential angel investors in Fintech.

Two is built by a passionate and energetic team with second-time founders with successful exits. We are a small, but mighty team leading Two into new countries. We have a global mindset, but deeply understand local nuance. We are entrepreneurs at heart, problem-solving to launch new countries end to end. We are team players that execute diligently from ideation to reality. We believe in diversity in opinions and ideas and expect all employees to think like an owner.

Location:

We are seeking a candidate to join our London office. Our work model embraces a hybrid approach, offering employees the flexibility to work both onsite and from home.

About the role:

At the core of our decision-making is a commitment to being truly data-driven. To uphold this, we are searching for a highly skilled and technically proficient Data Analyst who can adeptly bridge the divide between data-engineering to data-driven insights and strategic product decisions.

Your primary focus 1: To be able to do data analysis, we need to have well-modelled, well-documented and trusted datasets. Making sure that our business processes are well modelled in the data-warehouse and are available for self-serving by the business users, contributing to the Business Intelligence (BI) platform

Your primary focus 2: data analyses , designing lead and lag metrics and tools for monitoring them, gaining insights, and presenting or selling those insights, ideas, and recommendations to the decision-makers.

Effective communication is paramount in this role. Your ability to efficiently convey information to a broader audience will be crucial.

Technologies We Use

• SQL, Python, PySpark for data exploration and analysis
• dbt for building our Data Warehouse
• BigQuery, Spark, PostgresSQL hosted on Google Cloud Platform
• Tableau and Metabase as BI tools
  

Core Focus of the Role

• Business Data modelling & Analytical Insights
• Contribution to building DW and self-serve Data platform
• Problem-Solving and Decision Support: Data Analysts play a critical role in solving business problems and providing decision support by extracting actionable insights from the data to support informed decision-making within Two.
• Helping to design lead and lag metrics and setting up KPI monitoring and alerting, make sure they are consistently implemented in our reporting tools.
• Visualisation: Utilise BI tools such as Metabase or Tableau or to create comprehensive visualisations and communicate insight reports with management, stakeholders, team or customers.