Analytics Engineer
Upstart is a leading AI lending platform partnering with banks to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.
By leveraging Upstart's AI platform, Upstart-powered banks can have higher approval rates and lower loss rates, while simultaneously delivering the exceptional digital-first lending experience their customers demand. Upstart's patent-pending platform is the first to receive a no-action letter from the Consumer Financial Protection Bureau related to fair lending. Upstart is based in San Mateo, California and Columbus, Ohio.
Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!
The Team and Role
Upstart’s Data Engineering team builds the data infrastructure and platform for our AI lending products. Data engineering is part of our engineering organization, as we believe great data engineering relies on solid software engineering fundamentals. However, we also recognize that each Data/Analytics Engineer has a unique blend of skills. Whether your strength is in data modeling or in stream processing, we want to talk to you.
As an Analytics Engineer, you may work cross functionally with product, software engineering, machine learning, finance, growth, and other stakeholders, driving projects from conception to launch, in order to help teams leverage data in their decision making. Thus, helping accomplish our mission of enabling effortless credit based on true risk.
Our stack:
- Python, SQL, Bash, Spark, Kafka, Airflow, Avro, Postgres, Redshift, Looker, Kubernetes, and Docker
How you'll make an impact:
- Collaborating closely with data analysts, data engineers, data scientists, products managers, marketers, and finance analysts to deeply understand their problems and goals, and then design and prioritize solutions to help achieve those goals
- Lead strategy and execution of our analytics roadmap with the goal of scaling our data products to be more accessible, self-serve, reliable, and digestible for all employees across the company
- Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering
- Recommend, develop, and implement best practices for reporting, analytics, and generation of key metrics needed to report on the productivity and business performance
- Ability to develop and generate reports and dashboards as required by business stakeholders using Looker and/or other tools
- Provide leadership on how we certify our most critical datasets to our quality standards
- Capture data lineage and data dictionary to build a knowledge base for easy access for all of Upstart
- Monitor and report on KPIs that measure the success of our data products
What we're looking for:
Minimum Requirements:
- 5+ year(s) of experience as a Data Engineer / Analyst / Scientist with a focus in
- Expertise in SQL, Python and ETL optimization techniques
- Strong understanding of OSX command line and version control software (git).
- Familiarity with business intelligence visualization tools such as Looker, Tableau, etc.
- Excellent communication skills, particularly when explaining technical or complex matters to less technical co-workers
- MS or BS in Computer Science, Engineering, Mathematics, Statistics, Bioinformatics or a related field OR equivalent practical experience in Data Engineering/Science/Analytics
Preferred Requirements:
- Experience with cloud computing platforms like Amazon AWS, Google Cloud
- Experience with building Looker data models (LookML), data pipeline management technologies with dependency checking (e.g. Airflow, dbt), schema design, and dimensional data modeling
- Experience with a thorough understanding of data lake/warehouse architectures (BigQuery, Snowflake, RedShift)
- Experience with Salesforce schema/models and knowledge of Data ingestion tools like Fivetran or Datorama
What you’ll love:
- Competitive compensation (base + bonus & equity)
- Comprehensive medical, dental, and vision coverage
- Personal development and technology & ergonomic budgets
- Life insurance and disability benefits
- Clubs and Activities (Game Nights, Fitstarters, Uplift, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club, Basketball teams and other Employee Resource Groups)
- Generous vacation policy
- 401(k)
- Catered lunches + snacks & drinks
Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.