Product Analyst, Point of Sale & Customers
- Full-time
Company Description
Job Description
Product Analysts at Square are embedded within product teams and leverage engineering, analytics, and machine learning to empower data-driven decision making in the full lifecycle of product development. As a member of the team, you will lead experimentation and growth initiatives, develop automation solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data. Squares mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience.
You will:
Partner with product stakeholders to make data-driven decisions across the organization by leveraging descriptive and predictive analytics where it will have material impact
Apply a diverse set of tactics including statistics, quantitative reasoning, and machine learning, to solve problems as well as independently research and produce actionable insights
Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data science
Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media
Lead the data strategy of embedded product engineering, influencing them to make well-informed architecture and design decisions that affect data at Square
Provide comprehensive day-to-day analytics support to partner teams, develop tools and resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
3+ years of analytics experience or equivalent
Extremely strong written and verbal communication skills and ability to build strong relationships and influence with product partners
Proven ability to lead cross-functional projects that depend on the contributions of others in a variety of disciplines
Fluency with data, analytics and visualization technologies (We primarily use SQL, Looker, and Python)
Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as predicting churn, cross selling, clustering user archetypes, and more
Familiarity with data warehouse design, development and best practices