Data Analyst

At Mollie, we’re on a mission to make payments and money management effortless for every business in Europe.

We started 20 years ago by launching a more direct, affordable way for companies to get paid — an alternative to the frustrating, overpriced solutions that banks offered at the time.

Today, we serve more than 250,000 businesses across Europe with an all-in-one solution that simplifies payments and money management. Our team of 850+ product, finance, support, commerce, and engineering specialists operates across Europe – from Lisbon to London.

As a Data Analyst in our Merchant Experience domain, you’ll make sure that data is at the heart of product development for our merchant dashboard, mobile app, and customer support experience.

You will work closely alongside the domain’s leadership team, product managers, and software engineers to ensure we collect and store the right data. Then working alongside other data professionals, you’ll build robust data models, perform insightful analyses and tell compelling stories to steer our product teams in the right direction.

What you'll be doing

• Product development: work closely with the domain leadership team and engineers to make sure our products synthesise the data required to measure product performance.

• Product analytics: dive deep into frontend / behavioural event data to identify friction points, growth opportunities and other potential product levers.

• Data storytelling: turn your insights into compelling stories and share them via presentations, blog posts, memos, dashboards, workshops, or whatever works best!

• Business Intelligence: build and maintain robust, performant data models (dbt + Looker) to empower your stakeholders to report their most important product KPIs.

• Craft development: contribute to the evolution of the data analytics craft by sharing your insights, challenges and being a vocal member of the community.

What you have

• 4+ years experience as data analyst or data scientist using data to drive product success

• Strong problem solving skills and attention to detail

• Proactive, pragmatic and have a ‘can do’ attitude

• Strong stakeholder management and communication skills

• Fluency in SQL (we use BigQuery) and experience with dbt

• Experience working with a BI tool (we use Looker)

• Experience working with Git

Nice to haves

• Experience with A/B testing and experimentation

• Experience with R, Python, or other programming languages