Associate Director, Data & Analytics

Associate Director, Data & Analytics Job Summary

Searching for a highly motivated individual to elevate and maintain our marketing analytics offering within the Data & Analytics team at Bloom Ads, to serve our fast-growing client base. Our clients are constantly evolving, and optimizing, we need to create smart models which help them make the best decisions possible with their marketing spend.
The AD will manage a team and assist in the development of new and existing statistical models aimed at driving the maximum business results for our clients. The role will also require hands-on programming skills and model development as well as a creative mindset.

The Associate Director Data & Analytics plays a crucial role in executing, managing, and optimizing advertising campaigns across various platforms.

This role requires a blend of technical expertise, analytical skills, and attention to detail to ensure seamless campaign delivery and performance. Prior experience working at a marketing agency or advertising consulting firm leading marketing analytic engagements and development is required.
Analytic engagements can include (but are not limited to) dashboard measurement development, in-market testing, campaign measurement, determining marketing effectiveness and ROI, customer journey analytics, CRM, digital analytics (website, mobile, app and social media), forecasting, financial analysis, user-level analysis. Knowledge of statistical analysis and tools like Python or SQL,
** familiarity with marketing platforms data and terminology is required.
** In addition to the technical aspects required, it will involve cultivating and maintaining effective working relationships with a variety of parties including the clients, internal stakeholders, 3rd-party vendors, external clients, and operational areas within Bloom Ads. This is a high growth and visibility role in a highly dynamic and fast paced industry.

This is an in-office position based in our Woodland Hills office.

• Manage and mentor a growing and diverse team of analysts
• Create and elevate current analytics methodology, build a replicable statistical framework to rollout across multiple clients
• Develop, train, production-alize new models to be used to media optimization and driving client business
• Working closely with clients, account, and media teams to assess business and marketing challenges, discuss the possible solutions, and execute a plan.
• Oversee team modeling outputs and inputs, working with cross functional teams to assure data processes are automated and efficient
• Build marketing mix modeling, diminishing returns analysis and campaign test design to assess and inform client return on media investment
• Spearhead new analytical initiatives to drive actionable insights for our clients
• Role will report directly to the VP, Advanced Analytics with a dotted-line reporting to that client vertical.

• Master's degree in a mathematical or quantitative discipline (Statistics, Economics, Predictive Analytics, etc.). 5+ years or more experience in data & analytical functions in an agency/ consulting environment with at least three years of team management experience
• Proficiency with statistical analysis tools such as Python and R, as well as database (SQL)
• Experience with DTC and data heavy clients is a must
• Ability to develop proprietary statistical models, design A/B tests, execute Marketing Mix Models and multi-touch attribution algorithms
• Ability to both get the hands dirty with data and communicate with clients on their business questions
• Familiarity of changing landscape of ad tech within Ad Servers (DCM), DSPs (TTD, DV360), SEM
• Managing 2-3 junior analytics' members

• 4-6 years of experience required in the Advanced Analytics realm, preferably in media or an adjacent field.
• Bachelor's degree in mathematics, statistics, data science or related field
• 2-4 years of experience managing teams required.
• Advanced degree required or comparable knowledge of statistics and mathematics
• High-end marketing response modeling expertise, models which determine the Cost per Acquisition or Return on Investment of marketing expenditures.
• Proven effectiveness in managing business relationships.
• Experience in fast-paced environment, possessing the ability to work on multiple projects simultaneously.
• Deep expertise in advertising platforms and/or the ad tech industry preferred.
• Media Mixed Modeling necessary
• Programming/scripting experience a must…