Feeny
Datalab USA

Programmer Analyst - (entry-level data analyst/data scientist) Marketing Analytics at Datalab USA (Germantown, MD)

Datalab USA· Germantown, MD· $65k–$75k·

Role details

Salary
$65k–$75k
Work type
Hybrid
Employment
Full-Time
Level
Entry level

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

Primary Responsibilities

  • Monitor existing process execution to ensure completion
  • Execute & review existing process QC reports
  • Review wiki and other documentation to understand existing processes purpose and steps
  • Update Wiki documentation to improve team documentation
  • Review ETL QC reports and identify any data quality issues
  • Run existing scripts to update DWH
  • Perform QC to ensure proper execution and completeness of DWH
  • Run existing scripts to generate client reports
  • QC & review report providing feedback to internal customers & stakeholders
  • Assist with minor modifications & enhancements to reports
  • Save all work with careful documentation (for QC and future use)

Responsibility Details

  • Automate existing production code
  • Assist with development of ad-hoc reports
  • Know all client file inputs for a campaign, understand which would be critical for campaign processing and how the fields within each file are used in the campaign and results reporting
  • Understand the content of the data in the environment as well as basic usage of it
  • Understand the basic account business objectives and different business terminologies
  • Understand the account basic business requirements and how it applies to the role

Education and Experience

  • Bachelor’s degree in Computer Science, Applied Math, Statistics, Data Science, Marketing Analytics or similar field required
  • Work experience a plus
  • Direct Marketing experience or knowledge a plus
  • Certifications/Technical training are a plus

Job Skills

  • Ability to learn SQL, Tableau, automation scheduling software
  • Familiar with Microsoft Outlook, Word and Excel

Other Skills

  • Strong attention to detail
  • Ability to communicate clearly
  • Self-motivated
  • Strong interpersonal skills and ability to deal effectively in a team environment

**NO sponsorship offered for this position**

At this time, DataLab USA and DataLab Digital Advertising will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).

DataLab USA™ is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin. All offers of employment are contingent on passing a background check and drug test. Privacy Policy - DataLab USA™ | Targeting Better Results

Why work at Datalab USA

  • Hybrid work options: Multiple open roles (Data Scientist, Marketing Campaign Analyst, HR/Recruiting Assistant) are listed as hybrid, offering flexibility.
  • Two U.S. locations: Opportunities in Germantown, MD (HQ) and Westminster, CO, with on-site and hybrid setups.
  • Active hiring across functions: Open roles as of the latest data include Data Scientist (2–5 years experience), Marketing Campaign Analyst, Account Manager – Client Services Database Marketing, and HR/Recruiting Assistant.
  • Established, stable company: 25+ years in business, recognized on the Inc. 5000 list, offering a mature environment rather than a risky startup.
  • Data-forward culture: Ideal for practitioners wanting hands-on exposure to large-scale consumer datasets (25,000+ attributes), FCRA/credit data, and production predictive models.
  • Small-team atmosphere: 51–200 employees, which typically means broad ownership and cross-functional visibility.

Application questions