Lead Analyst Advanced Analytics-Attribution and Measurement- (Remote USA)

  • Full-time

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. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology drive improved marketing results and competitive advantage. With 9,600+ employees, Merkle is headquartered in Columbia, Maryland, with 50+ additional offices throughout the US, EMEA, and APAC. In 2016, the agency joined the Dentsu Aegis Network. For more information, contact Merkle at 1-877-9-Merkle or visit www.merkleinc.com.

Job Description

Role Purpose  

The Sr Analyst, Advanced Analytics will be an integral part of our US-based modeling capabilities, conducting advanced analytical analyses of marketing activities and estimating their impact on sales.  These projects will include, but are not limited to, Media Mix Optimization, Analysis of Covariance (test & control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data.  This role will be a thought-leader in analytics practices, possessing a broad knowledge of techniques and tactics plus the ability to learn new ones and judge them critically for potential use in client deliverables. 

This person will coordinate with some of our most important clients on data acquisition, deconflicting and presentation of results, as well as collaboration with multiple levels of the Merkle organization on high-visibility projects. 

Key Responsibilities

Coordinate data specifications for modeling projects with clients and internal teams

 

Conduct ETL operations and / or coordinate with clients, agencies and internal teams on ETL

 

Establish through testing and experimentation the right statistical approach for a given client situation

 

Provide thoroughly documented work products to enable smooth operations in production environments, including cloud environments.

 

Develop reports and processes to manage data quality control

 

Interpret and visualize model estimates and diagnostics

 

Support client teams to deliver insights on model results

 

Drive process innovation and continuous improvement

 

 

Key Skills and Experience

 

Minimum of 2 years as an Analyst or equivalent experience

 

Advanced degree in Statistics, Applied Economics, Applied Mathematics or similar quantitative field

 

Experience with media data and marketing measurement a strong plus

 

Ability to quickly learn new technologies and/or technical skills

 

Deep knowledge of regression especially hierarchical or mixed regression, and time series analysis; some knowledge of Bayesian modeling a plus

Advanced programming and modeling skills with R and Python.

 

Able to understand various data structures and common methods in data transformation.

 

Practical experience with processing large-scale data; knowledge of SQL required

 

Data visualization experience using R, Python,Tableau, or other software

 

Experience with cloud platforms (e.g. Google Cloud Platform or AWS)

 

Maintain positive client relationships with the ability to diffuse difficult situations and handle escalated client calls/emails with limited oversight

Strong communication skills, with the ability to present information in spoken, written or visual form to a variety of audiences, from internal teams to external client executives

 

Ability to multi-task and train others and handle “interruptions”

 

Collaborate with teammates, including overseas teams, to share learnings and techniques

 

  Ability to bring new solutions – analytical, technical and client-management –

   to the team

 

Qualifications

Key Skills and Experience

 

Minimum of 2 years as an Analyst or equivalent experience

 

Advanced degree in Statistics, Applied Economics, Applied Mathematics or similar quantitative field

 

Experience with media data and marketing measurement a strong plus

 

Ability to quickly learn new technologies and/or technical skills

 

Deep knowledge of regression especially hierarchical or mixed regression, and time series analysis; some knowledge of Bayesian modeling a plus

Advanced programming and modeling skills with R and Python.

 

Able to understand various data structures and common methods in data transformation.

 

Practical experience with processing large-scale data; knowledge of SQL required

 

Data visualization experience using R, Python,Tableau, or other software

 

Experience with cloud platforms (e.g. Google Cloud Platform or AWS)

 

Maintain positive client relationships with the ability to diffuse difficult situations and handle escalated client calls/emails with limited oversight

Strong communication skills, with the ability to present information in spoken, written or visual form to a variety of audiences, from internal teams to external client executives

 

Ability to multi-task and train others and handle “interruptions”

 

Collaborate with teammates, including overseas teams, to share learnings and techniques

 

  Ability to bring new solutions – analytical, technical and client-management –

   to the team

 

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.

      

Additional Information

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.

All your information will be kept confidential according to EEO guidelines.

 

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