Connector Database / Lever
Analyze your Lever data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Lever data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Lever data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your Lever data with DuckDB-powered data warehouse including Salesforce, MySQL and HubSpot.
Available Lever Data
Extracts recruiting and ATS data from Lever, including candidates, their applications and referrals, job postings, requisitions, sources, and pipeline stages. Enables analysis of hiring funnels, candidate pipeline health, sourcing effectiveness, stage conversion, and headcount tracking.
Candidate
Represents people in the recruiting pipeline with contact details, tags, sources, and overall status. Enables analysis of pipeline health, candidate segmentation, and sourcing mix across roles and teams.
Application
Individual submissions of candidates to job postings. Powers funnel conversion, time-in-stage, time-to-hire, and pass-through rate analysis by posting, source, and recruiter.
Job Posting
Published roles with descriptions, categories (team, department, location, level), state, and tags. Supports analysis of pipeline coverage per role, posting performance, and hiring demand by org segment.
Requisition
Headcount requests with codes, status, totals, and owners linked to postings. Enables headcount planning, req aging, time-to-fill, and fill-rate tracking versus plan.
Source
Canonical channels through which candidates and applications originate. Drives attribution and performance analysis of sourcing effectiveness, cost-of-hire by channel, and mix over time.
Stage
Defined steps in the hiring pipeline used to track candidate/application progress. Enables stage conversion, throughput, SLA compliance, and funnel benchmarking.
Referral
Employee-submitted referral forms tied to candidates. Supports measurement of referral program volume and conversion versus other sourcing channels.
Authentication Required
Uses an API token from your Lever account via HTTP Basic authentication
Getting started with
Lever Analytics & Business Intelligence
Connect your Lever data
Connect to Lever once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Build business intelligence models
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Generate reports and insights
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
Want to see how easy it is to get started?
Lever usersDefinite
People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.
I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
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