Oportun. Inc

Analytics Engineer - Customer Segmentation & Analytics

Req No.
2021-10750
Department
Data & Analytics
Type
Regular Full-Time
Remote / WFH
Yes
Job Locations
US-CA-San Carlos

Company Overview

ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is a financial services company and digital platform that provides responsible consumer credit to hardworking people. 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 in affordable credit, providing our customers with alternatives to payday and auto title loans. In recognition of our responsibly designed products which help consumers build their credit history, we have been certified as a Community Development Financial Institution (CDFI) since 2009.

 

OPORTUN’S IMPACT

Since extending our first loan in 2006, Oportun has made over 4 million loans, totaling over $10 billion to hardworking low- and moderate-income individuals. In turn, Oportun has helped more than 905,000 people begin establishing the credit history required to enter the financial mainstream. At the same time, Oportun’s customers have saved an estimated $1.9 billion in interest and fees compared to the alternatives typically available to them.

 

 

Overview

We’re looking for a driven, analytically-minded professional to join our Data Management and Business Insights Team! The Senior Analyst of Business Insights is responsible for partnering with and monitoring insights to better understand Oportun Customers across their lifecycle.

 

The ideal candidate is an experienced data storyteller with a passion for spotting patterns, an eagerness to collaborate with several different teams, and the curiosity to learn more every day!

Responsibilities

  • Partner with our Customer Lifecycle Management teams to develop and operationalize a business intelligence framework that enables fact-based decision making, analysis and insight generation for the business.
  • Own end-to-end analytics workflow, including defining success, generating insights and hypotheses, performance metrics, socializing them across the organization, and creating actionable dashboards and reports.
  • Develop effective and insightful data visualizations and reports, in collaboration with key stakeholders.
  • Drive project success though disciplined agile methodologies and strong planning/communication
  • Work with a diverse set of business data domains to design and build data solutions for analytics and business data users
  • Build and maintain complex data integrations for internal and external data, and maintain the data domain metadata and data catalog
  • Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, user guides, etc.)
  • Design and execute strategies for real-time data analysis and decisioning.

 

Qualifications

  • Passion and drive to disrupt the lending and financial industry for the better
  • Bachelor's degree or higher in a quantitative field preferred
  • 4+ years of experience in an analytically-driven role (in analytics, data science, finance, or related fields)
  • Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment.
  • Strong interpersonal skills and ability to influence cross-functionally, driving effective communication to technical and non-technical leaders.
  • Strong working knowledge of SQL and/or experience with Python and an ability to think in systems.
  • Familiarity with Cloud-based technologies (AWS, Google Cloud, Databricks, etc.)
  • Excellent data story-telling abilities and experience with data visualization and BI tools (Birst, Tableau, Looker, Power BI, etc.)
  • Sufficient laziness to want to automate everything.

 

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