---
title: 'Programmer Analyst - Marketing Analytics at Datalab USA'
canonical: 'https://feeny.ai/job/programmer-analyst-marketing-analytics-datalab-usa-germantown-3sf9d9zp46bt'
type: 'job'
last_seen: '2026-09-07'
---

# Programmer Analyst - Marketing Analytics at Datalab USA

- **Company:** Datalab USA
- **Location:** Germantown, MD
- **Compensation:** $65k–$75k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/datalabusa/4163de7b-bcdf-40e5-8df2-13d79461cda7

## 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**

## About Datalab USA

## Company Overview
- **One-liner**: DataLab USA is a data analytics and predictive marketing consultancy that combines 25,000+ consumer attributes across 25+ data sources with AI-driven modeling to help businesses identify, target, and retain customers with measurable ROI.
- **Entity Type**: Private (ownership not publicly disclosed; no funding rounds reported)
- **Headquarters**: Germantown, Maryland, USA (additional office in Westminster, Colorado)
- **Founded**: 1999
- **Founders**: Not publicly disclosed (current leadership: Hans Aigner)

## Core Business
- **Primary industries**: Advertising & Marketing, Data Analytics, Direct Marketing / CRM
- **Target customers**: B2B — marketing executives, direct marketers, and enterprises seeking addressable, data-driven customer acquisition and retention programs (across all credit tiers, including prime, near-prime, and sub-prime)
- **Mission/purpose**: "Transforming Data into Actionable Intelligence" — delivering customized, ROI-based marketing solutions by bridging 25+ years of data expertise with next-generation AI and predictive modeling

## Products & Services
- **Data Processing**: Customizable in-house systems that install, link, and process national consumer and market data from leading U.S. suppliers, ensuring high data hygiene and a fully linked address/name history for accurate targeting.
- **Predictive Modeling & Data Analytics**: Over 750–1,000 predictive models built and maintained annually for clients, using thousands of candidate variables to uncover hidden patterns; the team has won multiple head-to-head predictive modeling and data mining competitions.
- **Strategic Marketing Consultancy**: In-house marketing experts with four decades of experience designing, planning, optimizing, and executing multi-channel direct marketing campaigns, including trigger and broad-market programs.
- **Agent Optimization Model**: Proprietary FCRA-driven optimization model reported to improve agent performance by 30%.
- **Cloud-Based Hosting Technology**: Modern cloud infrastructure delivering scalable, secure, and reliable hosting solutions that grow with client needs.
- **CRM Solutions**: Leverages integrated data assets to help clients retain and expand relationships with their most valuable customers.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: 1.5 billion precision selections generated in 2025; 750+ models maintained annually
- **Notable Investors/Partners**: Not publicly available; company maintains 25+ data supplier partnerships and 20+ demo and credit data sources (incl. FCRA and demographic providers)
- **Growth Signals**: Named a 2022 Inc. 5000 honoree; 25+ years of continuous operation; active hiring across data science, marketing analytics, account management, and HR roles; expanding hybrid workforce across two U.S. locations

## Competitive Advantages
- **Exclusive data assets**: 20,000–25,000+ linked attributes per consumer, installed and processed in-house, available exclusively to DataLab USA clients — multi-sourcing across 20+ demo and credit sources is the standard.
- **FCRA expertise**: 25+ years of FCRA Direct Marketing experience across all credit tiers, a significant compliance moat in financial and regulated marketing.
- **Proprietary data linkage**: Two decades of address/name history linking enables highly accurate identity resolution and targeting.
- **Proven analytics pedigree**: Award-winning track record in head-to-head predictive modeling and data mining competitions.
- **Full-service model**: Combines data, modeling, campaign execution, and cloud hosting under one roof — eliminating typical vendor fragmentation.

## Strategic Focus
- **AI-driven modernization**: The company is actively blending 25 years of legacy data processing expertise with next-generation AI, evaluating thousands of variables in real time to surface hidden performance patterns.
- **Predictive model scale**: Committed to building and maintaining 1,000+ predictive models annually, suggesting investment in platform automation and model throughput.
- **Multi-channel and CRM expansion**: Strengthening capabilities across channels and CRM retention/expansion solutions to complement acquisition-focused direct marketing.
- **Cloud infrastructure**: Developing scalable, secure cloud hosting capabilities to support growing client data needs.

## Why Work Here
- **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.

## Sources
1. [datalabusa.com](https://datalabusa.com/)
2. [datalabusa.com — About Us](https://datalabusa.com/about-datalab/)
3. [datalabusa.com — Services](https://datalabusa.com/datalab-usa-services/)
4. [jobs.lever.co/datalabusa](https://jobs.lever.co/datalabusa)
5. [inc.com — Datalab USA](https://www.inc.com/profile/datalab-usa)

## Other roles at Datalab USA

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- [Database Developer](https://feeny.ai/job/database-developer-datalab-usa-germantown-jh906qk8kbf7) — Germantown, MD
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