Data Analyst I - Fraud

Why Housecall Pro?

Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America’s 100 million homes.

We’re all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and—ultimately—save time so they can be with their families and live well. We care deeply about our customers and foster a culture where our company, employees, and Pros grow and succeed together. Leadership is as focused on growing team members’ careers as they expect their teams to be on creating solutions for Pros.

 

We also offer:

• A generous benefits program that supports the whole you with medical, dental, vision, life, disability, and 401(k)
• Paid holidays and flexible, take-it-as-you-need-it paid time off 
• Equity in a rapidly growing startup backed by top-tier VCs
• Monthly tech reimbursements
• A culture built on innovation that values big ideas, no matter where they come from

 

The Role: 

As a Risk Data Analyst at Housecall Pro, you will be on the front lines of preventing fraud, evaluating merchant creditworthiness, and mitigating risk across payment processing and other financial solutions. In this role, you will analyze account- and charge-level data trends to identify and protect against emerging threats. Your primary mission is to support the Risk team in synthesizing data and testing hypotheses to bolster existing charge algorithms and support development of new rules to minimize losses while optimizing caseload.

Responsibilities

• Conduct analysis to develop new data-driven risk rules and to evaluate the performance of existing strategies
• Test hypotheses aimed at mitigating losses, while balance strategic business objectives such as revenue, churn, and lifetime value
• Perform analysis to identify patterns of high risk transactions
• Document findings and present to senior management
• Synthesize and visualize key performance metrics related to charge risk and merchant risk 
• Assess and analyze industry and market trends impacting fraud and risk
• Balance fraud prevention recommendations with their impact on Pro experience and operational costs
• Partner with Analytics, Risk, Product, and Engineering teams on Fintech risk operations and development and implementation of protection strategies

Required Qualifications

• 2-5 years financial services industry experience in analytics
• Bachelor’s Degree in Economics, Mathematics, Statistics, or similar
• 2+ years of experience querying data (SQL) and performing statistical analysis
• 1+ years of experience with BI systems such as Tableau, Power BI, Looker, or similar. Tableau preferred.
• Comprehensive understanding of credit card processing and chargeback risk
• Experience creating and testing risk rules preferred
• Strong written and verbal communication skills
• Strong data-visualization and data-manipulation skills
• Eager to own, create, research, and have an impact

 

Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service.

Housecall Pro’s brand portfolio includes BuildBook, construction management software for builders and remodelers, and CONQUER, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success.

We support more than 25,000 businesses and have over 1,000 ambitious, mission-driven, genuinely fun-loving employees across the United States and all over the world. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we’d love to hear from you.

Housecall Pro celebrates diversity and we are committed to creating an inclusive environment.  We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law.

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Location Dependent Information
This role is open to candidates and the expected salary range for this role is $72,250 -$85,000. The specific salary for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligibl