Bullhorn is the global leader in software for the staffing industry. After more than 20 years, more than 10,000 companies rely on Bullhorn’s cloud-based platform to power their staffing processes from start to finish. Led by the original co-founder, partnered with venture capital, and powered by seasoned leaders across a global workforce with an eye toward innovation, Bullhorn has had year over year growth, making it the market leader in the recruitment software space while allowing for new opportunities for over 35% of our employees to advance their careers in 2021.
We are aremote-first organization and over 30% of our employees reside outside the United States. Headquartered in Boston, we also have offices in St. Louis, London, Brighton, Rotterdam, Frankfurt and Sydney (just in case you’re in the area to stop by). Whether you’re local or remote, our vision is to ensure every employee has a sense of belonging, a voice that is heard, and a clear path for success. Your incredible experience as an employee will consist of flexible work hours to ensure a positive work-life balance and use Zoom, Slack, and other tools to stay connected.
About the Role
Bullhorn is looking for an Analytics Engineer to join our Data Warehouse team.
Why this job is important:
As an Analytics Engineer you will transform, test, document and model data to provide clean, accurate datasets. They will communicate with business clients to collect or develop data requirements, aligning business requirements with data assets.
A typical day might include:
- A stand-up with your team to review requirements, update progress and discuss blockers
- Writing schema changes and other database design work, geared for scalability and performance
- Modeling raw data into clean, tested, and reusable datasets
- Creating transformations to different data pieces to ensure they correspond to given tasks
- Maintaining data documentation
- Ensuring data accuracy to fit operational and analytics needs
- Interface directly with internal clients and project team members to understand the needs and objectives of the business
This role may be a fit for you if you have:
- You have 5+ years experience with SQL
- You have 2+ years experience with Python
- You have 3+ years of experience in Data Engineering, DevOps, or similar role
- You have knowledge of software engineering best practices.
- You are comfortable working independently in a fast-paced, flexible environment.
- You have strong customer relations and ability to deliver business value with technical excellence
Bonus points for:
- Bachelor’s degree in Computer Science, Information Technology, Business Analytics or related discipline
- Experience with Cloud Data Warehouse platforms such as Snowflake, Big Query or Azure Synapse
- Experience with Enterprise visualization tools such as Qlik Sense, QlikView or Tableau
- Experience with dbt
- Experience with Git
- Exposure to dealing with the challenges of large relational data sets
Bullhorn's core purpose is to create an incredible customer experience, which starts with first creating an incredible employee experience. Our vision is for every employee to have a sense of belonging, a voice that is heard, and a clear path for success. We are committed to building diverse and inclusive teams, and our culture is shaped by our five core values: Ownership, Energy, Speed & Agility, Service, and Being Human.
We’re looking for real-life humans, each with their own unique set of thoughts, beliefs, cultures, identities, and a background and body that is completely individual. We also love humans who have taken less traditional paths of education and believe that experience and learning come in many forms. Together, all these unique individuals make Bullhorn stronger. If you’re reading this, you’re probably applying for/considering applying for a job with us, and we want you to know that Bullhorn is an equal opportunity employer. For us, that means we always have, and will always, strive to be as inclusive as possible in all aspects of employment and that we do not and will not tolerate discrimination of any kind.