Product Analytics Lead
Posted on 8/11/2023
INACTIVE
Incredible Health

51-200 employees

Healthcare hiring platform
Company Overview
Incredible Health's mission is to empower healthcare professionals to find and do their best work. Hospitals across the US use Incredible Health's software to hire permanent nurses in 20 days or less, saving premium labor, overtime, and HR costs.

Company Stage

Series B

Total Funding

$100.6M

Founded

2017

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

3%

1 year growth

20%

2 year growth

114%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Snowflake
SQL
Excel/Numbers/Sheets
CategoriesNew
Data & Analytics
Requirements
  • You have 8+ years of relevant experience in tech and/or a fast-paced startup (growth startup experience preferred)
  • You have 2+ years of experience leading / managing teams
  • You look at the world and constantly think there's a better way to do things
  • You're smart (really smart), inquisitive, and enjoy constantly discovering and learning
  • You're results driven and thrive in fast-moving environments where your work is high-profile and high-impact
  • You've got good ideas but also listen to the ideas of others
  • You're resourceful and can find alternative solutions when faced with challenges
  • You get stuff done even if nobody is watching
  • You're data-driven and can explain your efforts through quantitative analyses
  • Proficient in Excel / SQL / BI tool development
Responsibilities
  • Working closely and collaboratively with the Head of Product and CEO to drive operational excellence and efficiency while the company grows in revenue exponentially
  • Optimizing our operations funnels: reducing drop-offs, manual work, and friction while constantly automating defined processes
  • Building reports of funnel and personnel performance to increase visibility into key metrics, inputs, and outputs
  • Quantitative modeling of operational bottlenecks, points of friction, and data gaps to target projects to address these
  • Collaborating with leadership, client success, product, and engineering teams to improve and streamline processes
  • Working closely with Engineering on ways to improve the data/tech stack and improve self-service (we use Snowflake, Metabase, Hex, DBT but are always open to exploring new tools!)
  • Working closely with Finance to model, understand and improve how the entire company works together
  • Driving multiple projects forward at any given time
  • Building and supporting your team. Helping prioritize their time and ensuring focus towards the right projects