Analytics - Manager - Data Science at Merkle (Baltimore, MD)

| Baltimore, MD
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Company Description:

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 30 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. Merkle's combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology drive improved marketing results and competitive advantage. With 4,400 employees, Merkle is headquartered in Columbia, Maryland, with additional offices in the US, Europe, and Asia. In 2016, Merkle joined the Dentsu Aegis Network (DAN).

Job Description:

The role will revolve around the application of analytic techniques to drive and enhance the client's marketing performance across their multi-brand portfolio. The Analytics Manager will be responsible for ensuring timely delivery of data, analytics and strategic consulting to support the client's marketing initiatives. They will become the client's trusted advisor, supporting multiple brands within a product division with hands-on analysis and presentations. The Manager will integrate project work and findings with the Dentsu Aegis Network analytics leads on the account as well as coordinate directly with strategy, email and reporting teams. They will participate in creating and articulating relevant solutions for clients and in developing methods or processes for implementation and owning quality assurance on all deliverables.

To succeed in this role, the Manager is expected to demonstrate strategic thinking, logical reasoning, strong communication and presentation skills, outstanding analytic skills, and the ability to resolve complex issues.

Responsibilities:
  • Execute a wide variety of analytics projects including predictive modeling, customer profiling, journey analysis, campaign test design and analysis, dashboard reporting, market basket analysis, product recommendations, and customer segmentation
  • Extract and process large quantities of data from data warehouses and other data marts in support of assignments
  • Analyze marketing metrics to identify cause-effect relationships between marketing levers and outcomes
  • Data mining and analysis, including the ability to independently QA database information and help drive database enhancements via communication and requirements documentation for technology teams
  • Develop test designs to support one-time and longitudinal test plans
  • Develop, write, and present strategic recommendations that directly address client's toughest questions
  • Turn complex data into practical and actionable marketing insights
  • Participate in brainstorming sessions to identify new marketing opportunities for the client
  • Participate in development of analyses that provide insights into actionable recommendations and strategies for omni-channel marketers with emphasis on digital media optimization in conjunction with performance media team
  • Manage projects tasks, timelines, and deliverable
  • Mentor junior analysts and contribute to their career development
Experience:
  • Experience with MS Office (Word, Excel, PowerPoint, Outlook) required
  • Proficiency with multiple analytics tools required (SAS, SQL, Python, etc.); R strongly preferred
  • Understanding of relational databases and transactional data required
  • Hands-on experience with BI or digital analytics tools (Tableau, TIBCO Spotfire, Micro strategy, Adobe analytics, Google analytics, DMP insight tools) preferred
  • Must have experience with statistical concepts and applying statistical techniques such as regression, ANOVA, cluster analysis, factor analysis, time series forecasting, and experimental design
  • Ability to discover hidden insights or complex patterns through advanced multi-variate data mining techniques on un-structured business problems
  • Excellent written, communication, and presentation skills
  • Experience with media analytics a plus


Qualifications:
  • Bachelor's Degree (B.S.) or equivalent in statistics, math, economics or related scientific/quantitative field required; Advanced degree (M.A., M.S., Ph.D.) preferred
  • Minimum of 5 years of experience in quantitative marketing arena


Additional Information:

Merkle fosters a diverse environment that encourages original thinking about our business and empowers us to communicate with a global world of customers. We embrace differences of opinion and diversity of thought as they help us challenge and refine our solutions. Merkle, as a best-in-class marketing agency, welcomes big ideas, and believes they can come from anywhere.

All your information will be kept confidential according to EEO guidelines

The anticipated salary range for this position is $121-$151K. Salary is based on a wide range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please visit https://dentsubenefitsplus.com/

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More Information on Merkle
Merkle operates in the AdTech industry. The company is located in Columbia, MD, Atlanta, GA, Denver, CO, Chicago, IL, Seattle, WA, Hagerstown, MD, Norristown, PA, New York, NY, Marlborough, MA, Boston, MA, Carlottesville, VA, Pittsburgh, PA, Southfield, MI, Little Rock, AR, Austin, TX, Salt Lake City , UT, San Francisco, CA and Bend, OR. Merkle was founded in 1971. It has 4000 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 200 open jobs at Merkle, click here.
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