Lead Analyst, Media Analytics-Remote - Columbia, MD, United States

Company Description


Merkle is a leading technology-enabled, data-driven customer experience management (CXM) company. For over 30 years, Fortune 1,000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios.

Job Description

The Lead Analyst, Media Analytics will use in-depth knowledge in quantitative database marketing and an understanding of the business process to help conduct data and analytical analyses to support the client's marketing and promotional activities.

We are looking for someone with a broad knowledge of techniques and tactics and judge them critically for potential use in client deliverables. You will work in collaboration with internal and client teams on data acquisition, analysis, and presentation of results. You will be a resource within an area of expertise and provide guidance to more junior team members; may lead small teams on a project basis.

As the Lead Analyst, responsibilities include (but not limited to):

You will perform:

  • Data analysis and mining
  • Report and deck building
  • Customer profiling and segmentation analysis
  • Statistical modeling

Additional daily activities may include:

  • Establish through testing and experimentation the right statistical approach for a given client situation
  • Conduct ETL operations and coordinate with clients, agencies, and our teams on ETL.
  • Determine quantitative methods for solving client issues.
  • Helping present ideas and findings to future and existing clients.
  • You will proactively interact with other internal groups throughout Merkle across the globe
  • You will evaluate and improve internal tools and processes
  • You will develop reports and processes to manage data quality control.
  • You will interpret, visualize, and support client teams to deliver insights on analytic results.
  • You will anticipate project risk and constraints and proactively work on solutions to address the risk/constraints.


  • Bachelor's Degree (B.S.) or equivalent in statistics, math, economics or related scientific/quantitative field; advanced degree (M.A., M.S., Ph.D.) preferred.
  • You will report to a Manager, Media Analytics
  • 3+ years of experience in quantitative marketing arena, in database and/or digital (addressable) marketing, including strong understanding of relational database concepts
  • Strong in MS Office core suite (Word, Excel, PowerPoint, Outlook) required with an ability to present engaging PowerPoint presentations.
  • Working knowledge of database systems
  • Proficiency with multiple analytics tools required; Python, R, SQL
  • Databricks, Snowflake, and cloud computing platforms experience a plus.
  • Experience in dashboard (Tableau, Datorama) design, deployment, and client delivery preferred.
  • Experience with applying statistical techniques such as regression, ANOVA, cluster analysis, factor analysis, time series forecasting, experimental and design, etc. to solve business problems.
  • Ability to discover hidden insights or complex patterns through advanced multi-variate data mining techniques on un-structured business problems.
  • Ability to translate analysis insights into actionable recommendations and strategies for marketers.

Additional Information

The anticipated salary range for this position is $78,000-$115,000. Salary is based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. 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 Dentsu Benefits Plus.



About dentsu 
Dentsu is the network designed for what’s next, helping clients predict and plan for disruptive future opportunities in the sustainable economy. Taking a people-centered approach to business transformation, dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company. Please contact your recruiter if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying. 


Job Profile


North America


United States


401(k) matching Dental Medical Medical, dental, vision, 401(k) matching, paid time off Medical, dental, vision, 401(k) matching, paid time off, and/or other benefits Other benefits Paid Time Off Vision


Analysis Analytical Analytics Business Cloud Computing Collaboration Dashboard Design Data analysis Data Mining Datorama Design ETL Operations Excel Law Media PowerPoint PowerPoint presentations Presentation Python Quantitative Database Marketing R Segmentation Analysis Snowflake SQL Statistical modeling Statistics Tableau

  • Analysis
  • Anticipating project risks and constraints
  • Conducting ETL operations
  • Customer profiling
  • Customer profiling and segmentation analysis
  • Data Analysis
  • Data Analysis and Mining
  • Determining quantitative methods for solving client issues
  • Developing reports and processes for data quality control
  • Evaluating and improving internal tools and processes
  • Forecasting
  • Interacting with internal groups
  • Interpreting and visualizing analytic results
  • Presenting ideas and findings to clients
  • Report and deck building
  • Segmentation analysis
  • Statistical modeling

3+ years


Advanced degree (M.A., M.S., Ph.D.) Bachelor's Bachelor's degree Business Design Marketing Quantitative field


Position open to remote candidates residing in the US


America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9