Associate Director, Marketing and Audience Analytics
: Job Details :


Associate Director, Marketing and Audience Analytics

Code and Theory

Location: New York,NY, USA

Date: 2024-11-22T02:28:09Z

Job Description:

Associate Director, Marketing and Audience Analytics

We are looking for an experienced and analytical Associate Director of Marketing and Audience Analytics to join our marketing team. The ideal candidate will have a strong background in data analysis, audience segmentation, and marketing strategy. This role will be responsible for leading the development and execution of data-driven marketing initiatives, providing insights into audience behavior, and optimizing marketing campaigns to drive engagement and growth.

WHAT YOU'LL DO:

  • Lead the development and implementation of audience analytics strategies to support marketing goals.
  • Analyze and interpret complex data sets to provide actionable insights on audience behavior and campaign performance.
  • Develop and maintain audience segmentation models to improve targeting and personalization efforts.
  • Collaborate with product, strategy, marketing, and content teams to ensure data-driven decision-making.
  • Oversee the creation and distribution of regular reports on key performance metrics, trends, and insights.
  • Utilize advanced analytics tools and techniques to identify opportunities for growth and optimization.
  • Manage and mentor a team of analysts, providing guidance and support in their professional development.
  • Stay current with industry trends, tools, and best practices in marketing analytics and audience insights.
  • Work closely with the IT and data teams to ensure data integrity and accessibility.
  • Present findings and recommendations to senior leadership and stakeholders.
  • WHAT YOU'LL NEED:

  • Bachelor's degree in Marketing, Business, Statistics, or a related field; Master's degree preferred.
  • 7+ years of experience in marketing analytics, audience insights, or a related field.
  • Strong proficiency in analytics tools such as Google Analytics, Adobe Analytics, SQL, GWI, Meltwater, and data visualization tools like Tableau or Power BI.
  • Excellent analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.
  • Proven experience in audience segmentation, targeting, and personalization.
  • Strong communication and presentation skills, with the ability to convey complex information to non-technical stakeholders.
  • Experience managing and mentoring a team.
  • Ability to work collaboratively in a fast-paced, dynamic environment.
  • Knowledge of digital marketing channels and strategies.
  • ABOUT US

    Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. With a remote-first approach to our people, we have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Mediacurrent, Rhythm, and TrueLogic.

    Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

    The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We're always on the lookout for smart, driven, and forward-thinking people to join our team.

    The target range of base compensation for this role is $120k-$150k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

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