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Lever

Lever is a Partner Data Source. Please see our Documentation to learn more about partner data sources.
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Sync Lever data into Panoply

ETL the Modern Way. Get your data out of Lever so you can analyze it.
Here’s a sample of the raw Lever data that Panoply will replicate to your warehouse:
Archive Reasons
A description of why a candidate was archived, e.g., they withdrew their application, they were underqualified, they declined the offer, or they were hired.
Candidates
Information about potential hires that have been added to your Lever account; includes application, resume, referral, and offer data.
Opportunities
Details about a candidate's journey through your hiring pipeline. Opportunities data includes info about candidate applications, resumes, referrals, and offers.
Postings
Data about positions posted through your Lever account, such as the department, location, level, and status of a posting.
Requisitions
Info about when a requisition was created, the associated compensation, whether or not it's a backfill position, and which department and location the requisition is associated with.
Sources
Data on how candidates in your Lever account became aware of an open position, such as referral, email, or a job posting.
Stages
Details about the stages of your recruiting pipeline.
Users
Data about the users in your Lever account, including the user name, email, and access role.

Modernizing Lever ETL

What is ETL?

Integrating data for analytics can be especially hard in a fast-shifting, rapid growth startup environment, where relevant business data might be spread out across a collection of apps and spreadsheets. ETL (Extract, Transform, Load) tools will help you collect your data from APIs and file transfers (the Extract step), convert them into standardized analytics-ready tables (the Transform step) and put them all into a single data repository (the Load step) to centralize your analytics efforts.

The shift to ELT

The traditional ETL model is a relic of the pre-cloud era, when compute resources were expensive, and everything needed to be cleaned up before analysis. These days, moving the transformation step closer to the time of analysis is not only feasible, it’s desirable. ELT lets you load raw data, increasing your analytical flexibility and moving relevant data more quickly from your engineering team to your analytics and BI teams.

All in one Lever data pipeline

Panoply’s 80+ data connectors and built-in automated cloud data warehouse will let you go from a collection of siloed datasets to sophisticated analyses that integrate your Lever data in a matter of minutes. Panoply is the only tool that combines an ETL process with a data warehouse, giving you total control over your data from sync to storage. We’ll handle all the infrastructure so you can skip the engineering work and go straight to analysis with your favorite BI tool.

Screenshots

“ Panoply has given us drastic improvements in query speed and brought all our data in one place. Our visualizations in Looker are much more fast and efficient.
John Wessel - Freshwater Systems
Read the customer success story

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