The Team

As an Analytics Engineer at Upstart, you will design and develop robust and scalable data models for analytical stakeholders to empower them to retrieve meaningful insights. Our analytics engineering team is centralized within the company and partners closely with data engineering, data platform, software engineers, ML engineers and cross functional analytics squads to stitch together datasets to create data models that are ready for consumption.

In addition to architecting data models, we implement Analytics Engineering best practices around Data Governance, Data Quality, Data Orchestration and pipeline optimization. We enable analysts to think like software engineers by defining, documenting and ensuring adoption of best practices when making contributions to the analytical code-base.

Position Location - This role is available in the following locations: Remote

Time Zone Requirements - This team operates on the U.S. time zones.

Travel Requirements - This team has regular on-site collaboration sessions. These occur 3 days per quarter at an Upstart office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

How you’ll make an impact:

• Understand how data is produced and consumed at a deep level - you will need to be extremely collaborative with the teams that produce and consume the data to create an end-to-end solution that maximizes the value of our data
• 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
• Meet consumers of data where they are by wearing an educator’s hat and training them on how to use BI tools and dashboards
• Be a close strategic partner to analytics squads to participate in decision making on the analytics road map for Upstart  

What we’re looking for: 

• Minimum requirements:
  • 3+ year(s) of experience as a Data Engineer / Analyst / BI Engineer
  • Expertise in SQL, Python and ETL optimization techniques
  • Familiarity with business intelligence visualization tools such as Looker, Mode, etc. and data transformation tools like dbt
  • 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 qualifications:
  • Strong understanding of data modeling concepts in both transactional and analytical databases
  • Experience with cloud computing platforms like Amazon Web Services (AWS) and Google Cloud
  • Experience building Looker data models (LookML) and using orchestration tools like Airflow, schema design, and dimensional data modeling
  • Thorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift)
  • Experience working with data engineers and data platform teams for data ingestion

What you'll love: 

• Competitive Compensation (base + bonus & equity)
• Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 
• 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
• Employee Stock Purchase Plan (ESPP)
• Life and disability insurance
• Generous holiday, vacation, sick and safety leave  
• Supportive parental, family care, and military leave programs
• Annual wellness, technology & ergonomic reimbursement programs
• Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
• Catered lunches + snacks & drinks when working in offices

#LI-REMOTE

#LI-Associate