Merkle is a leading data-driven, technology-enabled, global performance marketing agency that
specializes in the delivery of unique, personalized customer experiences across platforms and
devices. For more than 25 years, Fortune 1000 companies and leading nonprofit organizations have
partnered with Merkle to maximize the value of their customer portfolios. The agency’s heritage in
data, technology, and analytics forms the foundation for its unmatched skills in understanding
consumer insights that drive people-based marketing strategies. When combined with its strength in
performance creative and media, Merkle creates customer experiences that drive improved marketing
results and shareholder value. With more than 4,100 employees, Merkle is headquartered in
Columbia, Maryland with 16 additional offices in the US and 8 offices in Europe and Asia. In 2016, the
agency joined the Dentsu Aegis Network.
Role Purpose
The analytical team is responsible for leading all analytic engagements within Merkle. Our role is to
design innovative analytic solutions to solve complex business problems. Through analytically derived
insights, we often provide our clients with visibility into their business while systematically leading
them towards improved business performance.
As part of the team, you will be engaged in a variety of analytic projects with different aspects of the
customer lifecycle. To be successful in this role, you will need strong problem solving skills, ability to
work independently in a fast‐paced entrepreneurial work environment, be comfortable dealing with
ambiguity and change. Ability to handle multiple projects and collaborating with your co-workers is
essential.
Key Responsibilities
Analyze and manage data using SAS, SQL or other languages as required
Implement analytical solutions using the following techniques: Predictive statistical modeling,
Customer profiling, Segmentation Analysis, Survey Design and Analysis, Data Analysis and
Mining, External Data Enhancement, and Econometric and financial analysis
Evaluate and improve internal tools and processes
Adapt statistical methods according to business problems
Develop and test experimental designs, sampling techniques, and analytical methods
Report results of statistical analyses, including information in the form of graphs, charts, and
tables
Conduct basic business analysis and reporting
Perform ad hoc analysis of business situations, systems, issues and problems
Develop computer‐generated statistical and financial models
Analyze marketing channels and exploring new business opportunities
Revised May 2017
Mentor new colleagues
Key Skills and Experience
MS/PhD degree from a top university in a quantitative discipline (e.g. Statistics, Mathematics,
Economics, Finance, Operations Research, Engineering and etc.)
4 or more years relevant experience
Strong problem-solving skills
Strong communication, interpersonal and leadership abilities
Excellent written English ability
Proficient in Oral English
Experience in SAS Programming is required
Experience in Statistical Modeling is required
Experience in Marketing and Business are preferred, but not required
Experience in SQL Programming are preferred, but not required
Excellent work ethic and great team player
This job description is a summary of the essential functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and duties. The responsibilities, tasks, and duties of the jobholder might differ from those outlined in the job description. Other duties, as assigned by the supervisor, might be part of the job.