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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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Lever BI Integrations

Modernizing Lever BI

Preparing for analytics

Do you spend more time on data preparation or analysis? If you’re like most data analysts, you spend most of your time exporting CSVs, hacking spreadsheets, maintaining Python scripts, and managing databases. And you do all this hard work just for managers to ask why your reports don’t include today’s data. Your data deserves better, and so do you.

Automating data management

That laborious process of syncing and synthesizing data is called data management. Yes, it’s important—everyone knows good analysis requires good data. But every minute spent managing data is a minute that could be spent on analytics. The good news is that these processes can be automated and managed in the cloud without any complicated scripts or engineering expertise.

Your Lever data analytics platform

Panoply is the easiest way to sync, store, and access your Lever from all your business intelligence tools and analytical notebooks. It only takes a few minutes to connect your Lever data to Panoply. Once connected, Panoply will automatically refresh your data as it changes. There are no scripts to maintain or processes to manage. You can focus on what matters your data and your business.

Panoply makes your Lever data accessible
so you can analyze it

Expected Lever Data
Here’s a sample of the Lever data that you can sync, store, and access with Panoply:
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.

Screenshots

Panoply has given us drastic improvements in query speed and brought all our data in one place. Our visualizations are much more fast and efficient.
Andrew Zeck - CTO and Co-founder, Saucey
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