Senior Analytics Engineer

May 30

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Upstart

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Upstart is a leading AI lending marketplace partnering with banks and credit unions 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.

1001 - 5000 employees

📋 Description

• Design and develop robust and scalable data models for analytical stakeholders. • Implement Analytics Engineering best practices around Data Governance, Data Quality, Data Orchestration and pipeline optimization. • Enable analysts to think like software engineers by defining, documenting and ensuring adoption of best practices when making contributions to the analytical code-base. • Lead efforts to design data models and build curated data sets that are the foundation of reporting and analytics at Upstart. • Collaborate with data engineers and data platform teams to create analytics pipelines.

🎯 Requirements

• 5+ year(s) of experience as a Data Engineer / Analytics Engineer / BI Engineer • Strong understanding of data modeling concepts in both transactional and analytical databases • Proven ability to lead cross-team projects to create data models for analytics/reporting purposes • Excellent communication and collaboration skills, particularly when explaining technical or complex matters to less technical co-workers • Expertise in SQL, Python, and ETL optimization techniques • Familiarity with business intelligence visualization tools such as Mode, Looker, Tableau, Power BI, etc. • Experience creating curated data models using a data mesh architecture • Experience with cloud computing platforms such as Amazon Web Services (AWS), Azure and/or Google Cloud • Experience with building Looker data models (LookML), analytics engineering frameworks like dbt, orchestration tools like Airflow, schema design, and dimensional data modeling • Thorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift)

🏖️ Benefits

• target bonuses • equity compensation • generous benefits packages (including medical, dental, vision, and 401k)