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Operations Analyst
Operations Analyst
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The Petal mission
Petal’s mission is to bring financial opportunity and innovation to everyone.
We're pioneering a new approach to credit, by analyzing an applicant’s banking history, in addition to credit history, to determine their creditworthiness. We call this technology a Cash Score — and it takes into account income, spending, and savings. It’s currently helping thousands of people qualify for credit at better rates, even if they’ve never had it before.
We bring the same ingenuity to our credit card products. Our simple and intuitive app gives members access to credit score tracking, budgeting tools, subscription management, and automated payment options—everything they need to make financial progress.
Now more than ever, Americans need help improving their credit safely, responsibly, and affordably. If this sounds like something you’d like to be a part of, apply now, and let’s change this trillion-dollar industry together.
At Petal, we're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Petal, we welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.
The Operations Analyst role
We are looking for a strong data-driven operations analyst who is excited by working in a fast-paced dynamic environment across key business stakeholders. You will use data to solve critical business problems for our operations team, which encompasses our customer service, fraud and manual review teams, as well as collection team. You will also be the dedicated analyst for our entire Legal and Compliance teams. This is a key role that will help us grow faster and scale efficiently.
Key responsibilities:
- Help scale the Operations team by leveraging several operational data sources (ie. Zendesk, CRM) and identifying opportunities for higher ROI
- Build different Operations data models, combining different data sources (including data from Zendesk, Petal applications, Bureau data, third party, CRM tools, collection agencies, Google Sheet)
- Surface key insights on Operations team’s performance and opportunities for improvement in Looker
- Assist the Operations team in identifying new data sources or systems they should be using to answer long-term strategic questions
- Lead the ETL process to add these new data sources into the warehouse
- Closely collaborate with different teams, including data engineering, engineering, product, risk, and legal
- Work with management to set goals which are ambitious and achievable for the Operations team, and regularly track these goals
- Build Operations forecasting models to identify future needs, risks and opportunities (ie. staffing, customer churn, key complains, customer personas)
- Support our Compliance and Legal team in issue sizing and remediation
- Analyze compliance of our underwriting policy through sampling, testing and forecasting, in partnership with the Risk team
- Support data security and privacy efforts with our infrastructure team
- Work towards creating a metrics-driven and data-informed culture at Petal
Characteristics of ideal candidate:
- 1-3 years of experience in Analytics or another quantitative role
- Experience working in a fast growing startup environment
- Willingness to get your hands dirty with messy data to build data models, identify Operations opportunities and uncover insights
- Highly fluent in SQL, Python and Excel, and understanding of data modeling principles
- Exposure to dbt, Airflow, ETL tools (ie. Fivetran, Stitch), BI tools (Looker, Tableau, PowerBI)
- Strong attention to detail and high standards for the quality of deliverables
- Ability to work collaboratively on cross-functional projects between several different teams
- Excellent verbal and written communication skills to clearly articulate the insights from findings to management and relevant stakeholders
- Passionate and a self-starter who drives high impact projects forward with minimal guidance
- Insatiable intellectual curiosity, and enjoys sleuthing through data
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This job is no longer open