Staff Analytics Engineer- Manager

ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone. Driven by a mission to provide inclusive and affordable financial services, Oportun helps its nearly 1.5 million hardworking members meet their daily borrowing, savings, banking, and investing needs. Since inception, Oportun has provided more than $12 billion in responsible and affordable credit, saved its members more than $2 billion in interest and fees, and automatically helped members set aside more than $7.2 billion for rainy days and other needs. In recognition of its responsibly designed products, 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 are proud to have been named a “Top Workplace” by the Bay Area News Group for three consecutive years, one of Fast Company’s Most Innovative Companies in the World for 2020 and recognized as one of TIME Magazine’s 2018 Genius Companies Reinventing the Future.

 

WORKING AT OPORTUN

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.

 

 

 

Responsibilities

The Staff Analytics Engineer role is responsible for helping to bridge the gap between business and technology, implementing data solutions to support Treasury, Capital Markets and Finance stakeholders with data-related technical implementations while supporting their data infrastructure needs.

 

• Serve as the Directly Responsible Individual for major sections of the Enterprise Dimensional Model related to Treasury and Capital Markets
• Design, develop, and extend code to extend the Enterprise Dimensional Model
• Create and maintain architecture and systems documentation
• Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics
• Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review.
• Help promote data innovation across the analytic data environment with a willingness to experiment and to confront hard and complex problems
• Build trust in all interactions and with Trusted Data Development
• Identify and resolve impediments to efficiency and enable the entire Data Program to iterate faster
• Review and improve the data system as a whole, inclusive of data model designs, process flows, and end use cases
• Research new data engineering and analytics methodologies with minimal guidance and support from other team members
• Organize and Plan multi-quarter initiatives and develop the Enterprise Model Roadmap

Qualifications

• Bachelor’s Degree in computer science or equivalent data experience in a financial services environment
• 6 to 8 years of experience with data development and at least 3 years in Analytics Engineering
• 4+ years experience designing, implementing, operating, and extending enterprise dimensional models
• 4+ years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment
• 1+ years experience building reports and dashboards in a data visualization tool
• Experience with big data tools (Databricks, Py Spark, Fivtrans), ETL Tools like Talend and DBT, relational SQL including Postgres and MySQL and with data pipeline and workflow mgmt. tools: Jenkins, Harness, Airflow; AWS cloud services: S3, EC2, EMR, RDS and Data Lake, object-oriented/object function scripting languages (Python)
• Demonstrated capacity to communicate complex business activities, technical requirements, and recommendations clearly and concisely
• Demonstrated experience with one or more of the following business subject areas: finance, treasury, capital markets, marketing
• Positive and solution-oriented mindset
• Co