- Location
- São Paulo, São Paulo, Brazil
- Workplace
- Remote, Hybrid, Onsite
- Type
- Internship
- Department
- Strategy & Operations
- Seniority
- Internship
- Source
- Greenhouse
Description
Location: São Paulo, Brazil
Enova Overview: Enova International (NYSE: ENVA) is a leading provider of online financial services for non-prime consumers and small businesses. With annual revenue of nearly $2 billion, we leverage advanced technology and analytics to serve millions of customers across the U.S. and Brazil. In Brazil, we operate as Simplic, offering 100% online personal loans with fast, flexible, and convenient access to credit. We combine the agility of a fast-growing startup with the stability of a large corporation, and we value smart, driven people who bring fresh, innovative ideas to the table.
About the role: We are looking for an enthusiastic Data Analytics Intern to join our Business team. Your mission will be to learn and assist our analysts in transforming data into insights, supporting areas such as Marketing, Credit, and Collections. We are seeking someone passionate about data, eager to learn and develop skills in SQL, Excel, and Python, while collaborating with different teams to generate real business impact.
Responsibilities:
- Assist in building queries and routine analyses to answer business questions and support the team in areas such as Marketing, Collections, and Credit.
- Support the creation and maintenance of performance dashboards and reports, ensuring they are clear and up-to-date.
- Help document processes, code, and analyses to facilitate teamwork.
- Shadow senior analysts and collaborate with Product, Operations, and Business teams to understand metrics and business goals.
- Explore and learn new tools, techniques, and methodologies under the mentorship of our senior team.
Requirements and Qualifications:
- Must be currently pursuing a degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or related fields
- Basic knowledge or strong academic interest in Python or R.
- Curiosity and familiarity with statistics concepts.
- Eagerness to learn databases (SQL) and data manipulation.
- Intermediate to Advanced English.
- Proactivity, organization, and a strong eagerness to learn.
Benefits & Perks:
- Competitive Internship Stipend (Bolsa Auxílio)
- Meal Voucher (Vale Refeição) and Transportation Voucher (Vale Transporte)
Benefits & Perks:
- Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
- Health, dental, and vision insurance including mental health benefits
- 401(k) matching plus a roth option (U.S. Based employees only)
- PTO & paid holidays off
- Sabbatical program (for eligible roles)
- Summer hours (for eligible roles)
- Paid parental leave
- DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
- Employee recognition and rewards program
- Charitable matching and a paid volunteer day…Plus so much more!
About Enova
Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.
Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here.
It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.
