​As a Sr. Data Analyst, you will be a thought leader within Product for how data and analytics can guide our product decisions. You will work with the assigned product team(s) to produce the analytics and insights needed to create and operate best in class digital products. You will help us build a deep understanding of our customers, how they use our products and how we can improve that experience.
Key Responsibilities
Thought Leadership: Work closely with assigned product teams to lead critical analyses such as customer journey mapping, in-product flow analysis, and cohort analysis to guide the product development process.
Improve Product: Use analytics to find patterns and trends to understand user behavior and identify improvement opportunities.
Implementation: Partner with product and technology to develop measurement plan and ensure we are collecting and integrating relevant data to drive product analytics.
Lead Business Intelligence & Reporting: Partner with key stakeholders to build, deploy and maintain dashboards and reporting to enable operations, insights and decisions.
Analytical Leadership: Mentor junior Data Analysts and help to grow the Product Analytics capability within WEX.
Basic QualificationsÂ
2+ years of hands-on product analytics experience with exposure to agile/scrum process, product backlog grooming, etc.
Experience analyzing in-product data including analyses such as customer journey mapping, audience profiling/segmentation, cohort/mix analysis.
5+ years hands-on data analytics experience with one or more of the following tools:
SQL (traditional or PL)
Tableau (or similar visualization tool)
Python, R, or another scripting language
Experience in going beyond reports/data: driving product management using insights and hypothesis testing.
Preferred Qualifications
5+ years of hands-on product analytics experience with exposure to agile/scrum process, product backlog grooming, etc.
3+ years experience analyzing in-product data including analyses such as customer journey mapping, audience profiling/segmentation, cohort/mix analysis.
7+ years hands-on data analytics experience with one or more of the following tools:
SQL (traditional or PL)
Tableau (or similar visualization tool)
Python, R, or another scripting language
3+ years experience in going beyond reports/data: driving product management using insights and hypothesis testing.
Understanding of various concepts such as agile/scrum, A/B or multivariate testing, tag management, journey mapping, and segmentation.
Payments, financial products, or EV experience preferred.