Your opportunity

As a Data Analyst in our Onboarding domain, you will support decision-making in our product development processes to enhance the efficiency of our Customer Due Diligence teams and ensure a smooth onboarding experience for Mollie’s customers. You will also provide actionable insights or help product teams extract insights themselves using our self-serve reporting tools.

You will work closely alongside the domain’s leadership team 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 in-depth 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 modelling: transform data from different sources into clean, robust, performant, easy to use data models based on the analytical needs of your stakeholders.

• 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

• 3+ 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