LS Direct is looking for a passionate Data Engineer to join our growing data department. As a Data Engineer, you will help develop data pipelines for accurate, timely reporting to clients on campaign performance, opportunity, and demographic trends, while contributing to the automation of important monitoring & evaluation programs. A successful candidate will have a strong attention to detail and will embody a mindset of continuous growth.
- Company location: Suffern, NY.
- Expected hours of work: Generally, work is performed Monday through Friday, though holidays and weekends may be required. This is a hybrid full-time position after successful training; 3 days in office, and 2 days at home.
About LS Direct
LS Direct is a data-driven marketing program. LS provides powerful analysis essential in today’s market. Our rich data allows us to understand the ins and outs of our client’s customer base so we can best engage and win with them, while at the same time reaching new ones. While our advanced technology and analytics stack up against some of the biggest tech conglomerates out there, we are a boutique business that believes long-term relationships are key to success. We have the brightest team of data scientists, engineers, and analysts to provide hands-on, data-driven support to our clients.
Core Responsibilities
- Develop and maintain data pipelines for campaign performance (ROI), demographic analyses, customer segmentation, and operations monitoring.
- Manage multiple projects across clients and industries.
- Develop and output visualizations that highlight trends and adhere to best practices.
- Contribute to the overall documentation of processes and protocols amongst the data team.
- Re-examine and fine-tune preexisting workflows to optimize for time and quality.
- Work with large data files from external partners and LS Direct’s internal data architecture.
- Collaborate with other teams and departments across multiple projects and functions.
We’re Looking for Someone With
- Competency with the following: GCP/AWS, SQL, Python, Airflow.
- Alteryx experience a plus
- Bachelor’s degree – Master’s preferred
- 2+ years relevant work experience developing data pipelines.
- Experience in marketing or data analysis.
- Ability to understand and interpret transactional and secondary data sources.
- Ability and desire to take ownership of processes from conception to production.
- Ability to multi-task in a fast-paced, deadline-driven environment with a focus on communication and project management.
- Exceptional organizational skills and a detail-oriented work style,
- A growth mindset, committed to continuous improvement and taking on challenges.