Checkout.com is looking for a Senior Data Analyst to join our Payment Success team to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants. You will be the main point of contact for a merchant regarding their payment performance playing a critical role in defining, delivering and building tools for the right insights to showcase the value of our optimal payment strategies.
You will work closely with Payment Performance engineers and data scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross‑functional stakeholders to establish priorities and drive merchant performance improvements.
How you’ll make an impact
- Deliver expertise and guidance to our key merchants by crafting optimal payments strategy.
- Conduct deep‑drive exploratory data analysis to uncover insights and anomalies.
- Conduct experiments and A/B tests to improve performance, including ML based solutions.
- Develop cutting‑edge automation tools aimed at monitoring and optimising merchants’ performance.
- Implement robust measurements to assess how proposed solutions impact merchants’ performance and revenue, providing valuable insights for both internal and external ROI.
- Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development.
- Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided.
- Drive a culture of cross‑team learning and knowledge sharing.
What we’re looking for
- 4+ years in an analytical role either at a Fintech or Consultancy, using analysis to make business recommendations.
- Data driven approach, by clearly defining success metrics and measuring progress against them.
- SQL / Python knowledge to extract & analyse large data from our Data Warehouse.
- Good knowledge of today’s major e‑commerce and payments technologies and trends.
- Customer driven and able to establish robust relationships with assigned customer base.
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