Product Analyst, Square Payroll
- Full-time
Company Description
Job Description
Square Payroll is automating one of the most complex administrative aspects of running a business: paying a team. We help business owners hire, retain and pay great talent, and we provide financial control and stability to the hourly workers that need it most. Our customers love our product because it is well designed, easy to use, and gives them peace of mind that they’re doing things correctly.
Our team loves working on Payroll because we’re a full stack team with a lot of passion to build a remarkable Payroll product and business and we are looking for a Product Analyst to join us. We believe in using analytics, engineering, and machine learning to ensure data-driven decision-making in product development and customer acquisition. You will support Square’s mission of economic empowerment by using data to help us understand our customers, thereby helping us build a remarkable product experience.
You will:
- Work closely with Payroll colleagues across Growth, Product, Engineering, Sales, Risk, and Operations to use data to guide strategic decisions
- Apply a diverse set of tactics and tools including statistics, quantitative reasoning, experimental design, and potentially machine learning to gain insight into how we can build a more remarkable product and business
- Build dashboards, reports, and alerting systems for ongoing analysis and monitoring of product, business and growth campaign performance
- Maintain Payroll’s data infrastructure and ensure we make well-informed architecture and design decisions
- Provide comprehensive analytics support to colleagues, develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
- 5+ years of industry experience using data analytics to produce insights
- Experience driving cross-functional analytics projects from beginning to end: question formation, data model design, logging, ETL, validation, analysis, machine learning, visualization, and presentation
- Experience 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
- Experience leading cross-functional projects that depend on the contributions of others in different disciplines
Technologies we use:
Query languages (SQL)
Databases (Snowflake, Bigquery, etc.)
Visualization (Looker, Tableau, Amplitude)
Version control (Git/BitBucket)
Data science languages (Python, R)
Additional Information
Perks
At Square, we want you to be well and thrive. Our global benefits package includes:
- Healthcare coverage
- Retirement Plans
- Employee Stock Purchase Program
- Wellness perks
- Paid parental leave
- Flexible time off
- Learning and Development resources