Marketing Science Implementation Lead
Job Description
As a Marketing Science Lead, your curiosity never ends. The next question is always on your mind, helping you demonstrate the value of marketing science to internal and external partners. You bring in 5 to 8 years of experience, leading others in delivering Marketing Science projects across a broad range of initiatives, with a demonstrated expertise in at least two of the following areas: tracking and measurement, implementation, reporting, data visualization, testing and evaluation, data integration, or statistical modeling. You have experience optimizing Digital marketing efforts by systematically using data-driven insights, enjoy collaborating with others, and excel at leading and training juniors to translate findings into clear, actionable and executable insights.
Gaining leadership experience through supervising and developing a passionate team of analysts (including managing their work priorities, timelines, deliverables, and training) is definitely something you’re looking for. And you’ll expose your analyst to all Marketing Science sub-disciplines to help develop their expertise.
You will:
- Ensure that the analyses, reports, dashboards, and other deliverables created by the team fulfill client needs.
- Shape analytics content and provide point of view on methodology and technology.
- Lead the ideation, development and execution of measurement strategies and frameworks.
- Assist in mapping and implementing data flows and ensure compliance with data governance protocols.
- Manage, develop and motivate analysts: participate in resourcing, hiring and training planning.
- Manage daily operations, prioritization activities, resourcing, and overall analytics delivery of CM's analytics stack (Adobe Analytics, Adobe Launch, Adobe Target)
- Implementation knowledge on media tags (DoubleClick, Bing, LinkedIn, Facebook, etc.)
- Lead the ideation, development and execution of measurement strategies and frameworks.
- Keep abreast of product updates (Adobe Launch Tag Management System), best practices and proactively follow up with required changes in our implementation and appropriate communications.
- Implementation:
- Define, implement, and validate tracking and data gathering strategies.
- Ability to write custom scripting, JavaScript, jQuery or other coding languages in web environments and tag management tools to accommodate custom tracking requirements
- Statistical Analysis:
- Ideate and develop descriptive and inferential multivariate statistical models.
- Machine Learning:
- Ideate and develop machine learning models
You have:
- B.S. degree in a quantitative or technical field. Including but not limited to economics, mathematics, business, finance, social sciences, computer science, or information management. M.S. degree preferred.
- Advanced Microsoft Excel and Microsoft Office skills, with strong verbal and written communication skills, considerable experience presenting directly to clients.
- Extensive experience in data science and advanced analytics applied to solving business problems.
- Expertise in Python, R, SQL, or other business-relevant statistical programming language.
- Expertise with at least two of the following: data architecture (ETL/data integration), automated data ingestion + reporting, data science and statistical programming, testing and personalization, data visualization, website systems implementation.
- Experience with two or more visualization platforms: Tableau, Domo, PowerBI, etc., and knowledge of the strengths and weaknesses of the market leaders.
- Experience providing task direction and/or mentoring junior analysts.
- Website:
- Experience with both Google and Adobe Analytics, and with tag management platforms (e.g.: GTM, Adobe Launch, Tealium, etc.).
- 5+ years' experience in Digital analytics implementation
- Experience with tag management tools (Adobe Launch, Tealium, Ensighten) and their configuration
- Experience in implementing/troubleshooting/deploying the Adobe stack, Google 360 and/or 3rd party marketing tags using Adobe Launch
- Expert-level knowledge in developing Adobe Analytics Solution Design Reference (SDR)
- Understanding of Adobe Analytics processing rules, SAINT classifications, report suite configuration, and data feeds
- Experience in web development or working with a team of web developers or analysts
- Data engineering/architecture:
- Experience with ETL techniques, and some involvement in data architecture.
- A/B Testing:
- Experience with two or more testing platforms (e.g.: Optimizely, Adobe Target, etc.), and knowledge of the strengths and weaknesses of the market leaders.
The Talent Team at Critical Mass is focused on ensuring we provide the best training, on-boarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In effort to do so, we’d like to establish the ask that you plan to work from an office a minimum of 2 days a week. The ask stems from our want to:
Strengthen opportunity for continuous learning
Improve collaboration and team relationship.
Increase employee engagement
This hybrid model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.
CM Liquid Talent is still an option for roles approved to be 100% remote.
Critical Mass is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We do not tolerate discrimination on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you are an individual with disabilities who would like to request an accommodation, please reach out to [email protected].
The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.com and us.greenhouse-mail.io. We will never ask you to send us money, technology, or anything else to work for our company. If you believe you are the victim of a scam, please review your local government consumer protections guidance and reach out to them directly.
If U.S. based: https://www.consumer.ftc.gov/articles/job-scams#avoid
If Canada based: https://www.canada.ca/en/services/finance/consumer-affairs.html
If U.K. based: https://www.gov.uk/consumer-protection-rights
Date Posted
03/04/2023
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1
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