Associate Director, Data & Analytics
About The Position
The Associate Director, Data & Analytics will elevate and maintain Bloom Ads’ marketing analytics offering and help serve its growing client base. The role manages a team and contributes hands-on to the development, training, and productionization of statistical models that support media optimization and client business results. It combines technical modeling and programming work with client-facing communication and relationship management in a fast-paced agency environment. The Associate Director works with clients, account and media teams, and other internal and external partners to understand business and marketing challenges, identify analytical solutions, and carry out plans. The position oversees modeling inputs and outputs, improves data processes, and develops repeatable analytical methodologies across clients. It reports directly to the VP, Advanced Analytics, with a dotted-line reporting relationship to the relevant client vertical. This is a hybrid role requiring at least four days per week in the office. Travel to client and vendor sites in a personal vehicle is required. Duties may be modified or added based on organizational needs.
Requirements
- At least five years of experience in data and analytics functions in an agency or consulting environment, including at least three years of team management experience, as stated in the Who You Are/Requirements section.
- Four to six years of experience in advanced analytics, preferably in media or an adjacent field, as stated in Skills & Experience Required.
- Two to four years of team management experience, as stated in Skills & Experience Required.
- A master’s degree in a mathematical or quantitative discipline, or comparable knowledge of statistics and mathematics; the posting also lists a bachelor’s degree in mathematics, statistics, data science, or a related field.
- Experience with direct-to-consumer (DTC) and data-heavy clients.
- Proficiency with statistical analysis and programming tools including Python and R, and database/BI tools including SQL.
- Expertise in data wrangling, regression, and machine-learning functions.
- Ability to develop proprietary statistical models, design A/B tests, execute marketing mix models, and use multi-touch attribution algorithms.
- High-end marketing response modeling expertise, including models that determine cost per acquisition or return on investment for marketing expenditures.
- Marketing mix modeling experience.
- Ability to work hands-on with data and communicate with clients about business questions.
- Familiarity with advertising technology and platforms, including ad servers such as DCM, DSPs such as TTD and DV360, and SEM.
- Proven effectiveness managing business relationships and the ability to be client-facing.
- Ability to manage multiple projects simultaneously in a fast-paced environment.
- Strong problem-solving skills, creativity, proactivity, and an entrepreneurial spirit; willingness to challenge existing practices to improve analytics processes.
- Ability to collaborate with account management, creative, analytics, ad operations, and sales teams.
- Ability to travel to client and vendor sites in a personal vehicle.
Nice To Haves
- Deep expertise in advertising platforms and/or the ad tech industry.
- Certification or familiarity with industry-standard tools and platforms, such as Google Ads certification or Facebook Blueprint.
- A master’s degree in mathematics, statistics, data science, or a related field.
Responsibilities
- Manage and mentor a growing, diverse team of analysts, including managing two to three junior analytics team members.
- Improve existing analytics methodologies and develop a replicable statistical framework for use across multiple clients.
- Develop, train, and productionize models for media optimization and client business results.
- Work with clients, account teams, and media teams to assess business and marketing challenges, discuss solutions, and execute plans.
- Oversee modeling inputs and outputs and collaborate with cross-functional teams to make data processes automated and efficient.
- Build marketing mix models, diminishing-returns analyses, and campaign test designs to assess and inform clients’ return on media investment.
- Lead new analytical initiatives that generate actionable client insights.
- Cultivate and maintain working relationships with clients, internal stakeholders, third-party vendors, and operational teams.
- Translate technical subject matter into business terminology and respond to client questions.
Benefits
- Employee well-being is a stated priority of the company’s collaborative culture.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
