About eqtble

eqtble is a next-generation HR analytics platform that turns employee data into insights.

We build a fully-automated data layer delivering insights via intuitive dashboards within 6 weeks. By seamlessly connecting with over 100 systems, eqtble provides insights on Workforce, Talent Acquisition, Engagement, and Compensation.

Companies are struggling to unlock insights from their HR data due to the time and cost required to analyze the disconnected data sources. Waiting 2 years to discover that your company has a pay equity issue or ‘discriminate hiring’ leads to culture erosion and employee engagement issues. eqtble enables companies to not only discover but action on these insights today.

About the role

Skills: Python, SQL, Data Modeling, Data Analytics

You will be one of our first data science hires!

We can't wait for you to join our team and make an incredible impact.

As one of the first hires into our data science team, you will be responsible for setting the standard for future employees and building out the data science function. You'll work closely with the founding team to help build our product and deliver actionable insights to our customers. Our product has a robust data-ingestion layer that you will be working closely to optimize and model to feed data to our front-end application. We are a fast-growing, well-funded startup that is eager to change the HR analytics industry - come join us!

Experience we are looking for:

DBT / SQL / Data Modeling / Data Analytics
Developing data models in DBT
Writing lots of fun SQL code
Bonus: people/HR analytics experience

Examples of insights you would deliver:

Do high-performing employees have higher engagement in the company?
Why are top candidates declining offers?
Why are top performers leaving the company?
What is my gender/race pay gap and how do I close it?

Personal traits we are looking for:

Excited to build a fast-growing startup from the ground up.
Interested in wearing multiple hats and loves the challenge of the unknown.
Naturally curious and interested in learning!
A problem solver that is intrigued by a challenge.
Someone with a heart that wants to solve the challenges facing the Diversity, Equity and Inclusion world.

Technology

First step: Automation

We are working to automate the data ingestion of every HR data source... archaic or not

Second step: Standardization

To deliver insights to every company quickly and effectively we need to build a standardized data layer that won't require us to change our whole infrastructure if a company changes its definition of 'time to hire'

Third step: Actionable Insights

Our goal is to provide actionable insights to our customers using machine learning

eqtble remote jobs

Founding Account Executive

Full Stack Engineer

Data Scientist