This position will sit full-time with a client in Rockleigh, NJ
The Analytic Consulting Group partners with both internal and external clients, and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making. The Data Analyst is responsible for conducting data analyses using SAS/SQL and other resources in support of a variety of analytic solutions.
- Provide SAS/SQL programming, with detailed direction, in the execution of data analysis that will contribute to the final project deliverables
- Appropriately account for the timeliness and quality of all assignments
- Collaborate with internal stakeholders to manage data logistics – including data transfers, understanding data structures, business rules, etc. – to enable project execution
- QA/QC data and report output to ensure accuracy
- Support the development of reports by providing requisite content
- Participate in presentation of reports to key internal stakeholders, effectively communicating the steps taken to create the output
- Manage multiple projects concurrently
- Monitor project progress relative to timeline and scope
- Bachelor’s degree in a quantitative discipline (e.g., statistics, economics, mathematics, marketing analytics) or significant relevant coursework
- 1-3 years’ professional experience with data mining, segmentation, and/or predictive modeling using large, marketing databases
- Demonstrated proficiency in SAS/SQL programming; minimum 2 years
- Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook
- Strong analytic thought process and ability to interpret findings
- Ability to work on multiple assignments concurrently
- Excellent verbal and written communication skills
- Highly motivated and collaborative team player with strong interpersonal skills
- Acute attention to detail (QA/QC)
- Effective organization and time management skills
- Professional judgment
- Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
- Database marketing experience/knowledge
- to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies
Conditions of Employment
All job offers are contingent upon successful completion of certain background checks which unless prohibited by applicable law may include criminal history checks, employment verification, education verification, drug screens, credit checks, DMV checks (for driving positions only) and fingerprinting.
Great People, Deserve Great Benefits
We know that we have some of the brightest and most talented associates in the world, and we believe in rewarding them accordingly. If you work here, expect competitive pay, comprehensive health coverage, and endless opportunities to advance your career. From tuition reimbursement to scholarship programs to employee stock purchase plans and 401(k)s, we offer associates a variety of benefits that work as hard for them as they work for us.
Epsilon is a global leader in creating connections between people and brands. An all-encompassing global marketing company, we harness the power of rich data, groundbreaking technologies, engaging creative and transformative ideas to get the results our clients require. Recognized by Ad Age as the #1 Largest World CRM/Direct Marketing Network, #1 Largest U.S. Agency from All Disciplines and #1 Largest U.S. Mobile Marketing Agency, Epsilon employs over 7,000 associates in 70 offices worldwide. Epsilon is an Alliance Data company. For more information, visit http://www.epsilon.com/, follow us on Twitter @EpsilonMktg or call 1.800.309.0505.
Alliance Data provides equal employment opportunities without regard to race, color, religion, gender, age, national origin, disability, sexual orientation, gender identity, veteran status or any other characteristic protected by law.
Alliance Data participates in E-Verify
For San Francisco Bay Area:
Alliance Data will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code Sections 4901 – 4919, commonly referred to as the San Francisco Fair Chance Ordinance.
Meet Some of Epsilon's Employees
Director Of Learning & Development
Helen brainstorms and researches new ways for teams to work together by introducing training at the individual and team level. She helps Epsilon’s employees achieve their goals.
Back to top