Oportun Inc

Data Engineer

Job description

Position Overview:
This position will be a key to the data strategy of the FP&A organization and will support the overall data strategy of Oportun as a whole. This position will be relied upon to partner with our internal Analytics team and work to migrate all data within the analytics data ecosystem into the FP&A datalake. The position will then be relied upon to transform and join the migrated data at appropriate grain to support FP&A predictive analytics and reporting. This colleague will also be looked upon to migrate financial data into RedShift and integrate it into the FP&A datalake. This position will serve as the subject matter expert for all data within the FP&A datalake and will work closely with the Analytics team to understand data lineage and continuous data changes driven by business needs.
  • Provide analytic support for Financial Planning and Analysis
  • Partner with Oportun DMBI/Analytics team
  • Maintain production reporting for internal and external clients.
  • Provide data stewardship and subject matter expertise for financial data and systems.
  • Solve for complex data integrations across multiple systems.
  • Design and execute strategies for real-time data analysis and decisioning.
  • Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
  • Maintain financial metadata.
  • Utilize strong SQL development experience to build effective and scalable financial data solutions
  • Execute ad-hoc research, ranging from basic SQL queries to building more advanced analytical models
  • Provide production support for data integrations and reporting
  • Identify the business and technical impacts of user requirements and incorporate them into the project schedule
  • Own, troubleshoot and resolve incidents
  • Perform other duties as required
  • Four-year bachelor’s degree in Finance and our Computer Science or related degree
  • Strong experience writing and using SQL
  • Ability to build, create and maintain RedShift datasets
  • Working knowledge of Python and integrations
  • Working knowledge of S3
  • Ability to prioritize multiple functions and work with limited supervision
  • Excellent interpersonal communication and organizational skills
  • Must be able to work well and collaborate with internal and external partners
Company Overview:
Oportun (Nasdaq: OPRT) is a financial services company and digital platform that provides responsible consumer credit to hardworking people in the United States. Using A.I.-driven models that are built on years of proprietary customer insights and billions of unique data points, we have extended millions of loans and billions of dollars in affordable credit to consumers, the majority of whom live in low-and moderate-income communities. Since about half of our new customers come to Oportun without a FICO score, we play a key role in the communities we serve by being able to offer them an affordable and credit-building alternative to payday and auto title lenders. In recognition of our responsibly designed products which help consumers build their credit history, Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009.

With headquarters in California and a remote-first corporate culture, our 3,000+ team members work in Oportun locations and remotely throughout the United States, Mexico, and India. Our global operations include our Mexico contact centers and administrative offices, our India technology development center, and our US corporate, technology, and retail operations.

We feel privileged to have been named a “Top Workplace” by the Bay Area News Group for three years running, one of Fast Company’s Most Innovative Companies in the World for 2020 and recognized as a TIME Magazine 2018 Genius Company for our impact in helping to reinvent the future of lending. For the last three consecutive years, we have been titled Top Workplace by the Bay Area News Group.

Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups and our Diversity, Equity, Inclusion and Belonging Council.

We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, caste, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.

We encourage you to apply for this position even if you do not match all the qualifications listed for this position. At Oportun, we will consider all experience on a candidate’s application, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We will also consider those with criminal histories consistent with the requirements of applicable laws in the locations where the role will be based such as the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring Ordinance when hiring for roles in locations with such laws.

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application process. Applicants in need of special assistance or accommodation during the application or interview process or in accessing our website may contact us by sending an email to talent@oportun.com. Please include your name and preferred method of contact in your email. Please also note that this email address is for requests for assistance only and not for the submission of applications or resumes, which will not be considered through this channel.

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