Analytics Engineer

Labs technologists are a combination of applied data scientist, deal professional, information architect, and researcher. We’re looking for someone who are capable of meeting with deal teams to understand their needs, understand how data can address them, and can present the resulting analysis… ideally in an interactive and engaging fashion. This is a job about communication and collaboration, not arcane computer science wizardry.

As a team we center simplicity and explainability. We don’t build models if they can be taken off the shelf and we don’t build black boxes when a simple algorithm would suffice. Our goal is to use data to affect changes and we believe understandability comes before everything else; we want to work with people who feel the same way.

We expect you to have advanced skills in at SQL, Python data analysis libraries, and encourage familiarity with data storytelling

Daily tasks:

Meet with business professionals to understand their problems and where data can meet them
Source new data to answer these questions and work alongside our data engineers to ingest and normalize it
Create reusable, documented metrics and transformations based on new or existing datasets
Analyze data and interactively work with business users to understand implications
Present final reporting using modern tooling like Hex, Airtable and Softr

Candidate profile & key differentiators for success:

4 + years experience in finance or user-facing data roles
Strong technical skills and ability to run projects sourcing data to presenting results
Ability to independently build a labs presence and reputation in an office
Attend and report on business line weekly meetings
Project management skills
Strong written and verbal communication

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