Parker is a Series B fintech providing a virtual corporate card and profitability-focused financial software for e-commerce merchants. This is a foundational Data Analyst role working most closely with the Risk team (credit, fraud, AML, portfolio analytics), with impact extending across the whole company.
Responsibilities
- ▹Design, build and own core analytical metrics and dashboards
- ▹Analyze transaction, customer, and credit data
- ▹Build automations and data pipelines using SQL and Python
- ▹Partner with Risk, Product, Growth, and Finance leaders
- ▹Turn ambiguous questions into clean metrics and reliable outputs
- ▹Own business-critical compliance reporting for the Risk team
Requirements
- ▹Excellent SQL skills, including performance reasoning
- ▹Strong Python (or similar) skills for data workflows
- ▹Strong grasp of data modeling, tables, schemas, and joins
- ▹Ability to break down ambiguous problems into measurable outputs
- ▹AI-first approach using Gen AI and LLMs
- ▹High ownership mindset and strong business judgment
Nice to have
- ▹1-3 years of experience in analytics, data, or technical roles
- ▹Experience in fintech, payments, lending, or financial services
- ▹Prior work in credit, fraud, or risk analytics
- ▹Experience with statistical or data analysis tools
Soft skills
High ownership and accountabilityStrong business intuition and curiosityHigh standards for clarity and correctness
About the company
Parker is a Series B fintech offering a virtual corporate card and profitability-focused financial software for e-commerce merchants, having raised over $180M from top-tier investors.
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