Job Description
* At this time, we are unable to offer visa sponsorship for this position. Candidates must be legally authorized to work for any employer in the United States on a full-time basis without the need for current or future immigration sponsorship.
Ready to take your career global?
Make your mark at one of the biggest names in payments. We’re looking for a Senior Data Analyst, Portfolio Analytics to join our ever-evolving Global SMB team and help shape the future of global commerce.
What you’ll own
- Use advanced analytics to identify opportunities that increase customer value, product adoption, engagement and revenue across the existing customer portfolio.
- Design and implement customer segmentation, contact strategies, predictive models and test-and-learn programs focused on cross-selling, retention, dormancy reactivation and attrition reduction.
- Analyze transactional and financial data and evaluate new internal and external data sources to improve propensity, dormancy and service-action models.
- Partner with Service and Relationship Management teams to understand customer journeys, improve conversion and translate insights into actionable commercial strategies.
- Develop automated Python- and SQL-based workflows for data preparation, modeling, campaign execution and ongoing performance measurement.
What you’ll bring
- Proven commercial analytics experience focused on customer value optimization, cross-selling, retention and engagement, ideally within payments, financial services or an SME environment.
- Advanced SQL and Python skills, including experience preparing complex datasets, building analytical models and automating workflows.
- Experience designing test-and-learn frameworks, measuring incremental impact and using results to guide commercial decisions.
- Strong analytical and problem-solving skills, with a track record of translating complex data into measurable business outcomes and clear stakeholder recommendations.
- A bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Engineering, Finance or a related discipline.
It’s a bonus if