The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics. In this role, you would support both ongoing and new engagements with marketers by overseeing the delivery of actionable and impactful insights surfaced from the intersection of clients’ business, site, and paid media data. The Associate Director, Media Analytics will play a critical role in crafting the next generation of our market offerings by ideating new services, operationalizing through team growth and training, and enabling our Growth and Account Management teams with the tools they need to approach marketers.

This role is a combination of internally facing responsibilities - services development and operations - and externally facing responsibilities - working with partners, clients, and .Monks Growth and Account Management teams across engagements.

Primary Responsibilities:

Key Responsibilities:

• Owns media analytics product and services delivery across the client portfolio
• Sets vision for account(s), oversees and develops analytics roadmaps and processes, and executes plans against short- and long-term deliverables
• Understand business needs and lead the design and execution of cross-channel campaign measurement frameworks
• Be a hands-on contributor in evolving and designing new, innovative measurement tools, from inception to delivery, through to global rollout
• Work alongside client teams to set up test designs and run analyses to support test outcomes that demonstrate business performance and opportunity to improve
• Lead and drive a team with a highly autonomous self starter culture
• Recruit, manage, and mentor resource ensuring workflow is efficient throughout the team, as well as a high-quality output is delivered

Primary Qualifications:

• A Bachelor’s or Master’s degree in computer science, operations research, statistics, applied mathematics, management information systems, or a related quantitative field or or equivalent work experience such as, economics, engineering and physics
• Hands-on experience using Tableau, Datorama, and other common visualization tools
• Hands-on experience using SQL, Python, R, and Google Cloud (GCP) related products
• Hands-on experience working with common ETL tools
• Expertise across programmatic display, video, native, and ad serving technology, as well as digital advertising reporting, measurement, and attribution tools
• Adept to agile methodologies and well-versed in applying DataOps methods to the construction of pipelines and delivery
• Experience in crafting meaningful narratives out of data and guiding team members to do the same
• Ability to work across teams and seniority levels, influencing and collaborating with a wide range of stakeholders
• Ability and desire to scale knowledge and learning to junior (and at times senior) team members
• Strong grasp of the overall ad tech space, including but not limited to knowledge of our competitive set and their offerings
• Ability to communicate recommendations and reasoning up to senior stakeholders to create buy-in
• Demonstrated ability to lead in-person client meetings or client summits
• Demonstrated ability to effectively operate both independently and in a team environment

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

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