Business Intelligence Analyst

3 weeks ago

Toronto, Canada Block Full time

Company Description

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.

To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

**Job Description**:
On the Fraud Machine Learning Decision Science team, we manage Square's Fraud risk portfolio across our Point of Sale, Banking, and Staff products. As part of the team, you'll identify fraud patterns and prevent high-risk activity across Square's evolving platform of products. You will also manage top level Risk KPIs, establish core operational metrics, and make improvements through machine learning solutions or analysis.

We are looking for a Business Analyst to join our team, reporting to the team lead. This Analyst will identify risk trends across Square's products; create strategies to improve Risk performance; You will lead experimentations to promote Risk effectiveness throughout Square. You will partner with product, engineering, operations, policies and sales to influence Squares global Risk road map and processes. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make a direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.

You Will
- Partner with Product, Policy/Operations, and Engineering teams to diagnose problems and develop compelling, data-driven recommendations
- Develop and maintain multiple data pipelines and ETLs
- Partner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processes
- Have a chance to use machine learning tools to develop data-driven solutions.
- Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experience
- Develop executive presentations for Squares leadership

**Qualifications**:
You have:

- 2+ years of product-focused data science experience or equivalent
- Fluency in SQL
- Experience performing data analysis and machine learning using Python or R
- Ability to understand complex business and data systems; versatility and willingness to learn new technologies on the job
- Great product instincts and natural curiosity
- Ability to manage competing priorities from multiple stakeholders, develop trust, and accept feedback
- Confident and thoughtful communication style
- Excellent troubleshooting skills and attention to detail

Even better:

- A degree (B.S., M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field
- Experience with a BI tool such as Looker or Tableau
- Experience with data warehouse design, development and best practices

Technologies we use and teach:

- SQL (Snowflake)
- Python (pandas, scikit-learn, etc.)
- ETL best practices
- Looker, Amplitude

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
- Paid time off
- Learning and Development resources

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruit

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