HR/Recruiting Assistant
Datalab USA · Hybrid
MeritLog read this listing from Datalab USA's Lever job board and last checked it on September 10, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- $60,000 - $70,000
- Location
- Germantown, MD
Hiring context
How this role compares at Datalab USA
Datalab USA has 13 live roles in MeritLog’s catalog across 3 job families, and 1 of them is in people & hr. 13 of those listings publish a pay range, a disclosure rate of 100%.
This role's posted range of $60,000 - $70,000 sits above 0% of the 12 other Datalab USA roles quoted over the same currency and period.
Datalab USA concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
DataLab USA™ is an analytics and technology driven database marketing consultancy. We combine sophisticated technology, cutting edge analytics and an intrinsic understanding of marketing to build large-scale addressable marketing programs for Fortune 500 companies. Our clients operate in multiple verticals: Financial Services, Insurance, Telcom, and Travel & Leisure. We have placed in the INC 5000 list of fastest growing private companies for six times in the last ten years. At its heart, DataLab USA™ has the entrepreneurial spirit of a start-up. We judge ourselves on our ability to innovate, drive efficiency and deliver excellence for our clients. This position serves as an employee resource for all HR needs and works collaboratively with our internal teams. The ideal candidate will have 3-5 years prior experience in Human Resources, with a thorough understanding of HR policy and procedures, including current labor laws and technical recruiting. We are seeking someone who connects with people, is organized and has a detail-oriented mindset. Looking for successful experience with recruitment of technical mid/senior/executive level candidates - including programmers, data scientists, data analysts.