Associate Director, Data & Analytics

Bloom Ads Global MediaLos Angeles, CA
$90,000 - $120,000Onsite

About The Position

Bloom Ads is seeking a highly motivated Associate Director, Data & Analytics to enhance and maintain our marketing analytics offerings within the Data & Analytics team. This role is designed to serve our fast-growing client base by creating smart models that optimize marketing spend and drive maximum business results. The Associate Director will manage a team, contribute to the development of statistical models, and utilize hands-on programming skills. This position requires a blend of technical expertise, analytical skills, and attention to detail to ensure seamless campaign delivery and performance. Prior experience leading marketing analytic engagements and development at a marketing agency or advertising consulting firm is essential. Analytic engagements can include 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, and user-level analysis. Proficiency in statistical analysis tools like Python or SQL, along with familiarity with marketing platforms' data and terminology, is required. The role also involves cultivating and maintaining effective working relationships with clients, internal stakeholders, 3rd-party vendors, and operational teams within Bloom Ads. This is a high-growth, high-visibility role in a dynamic and fast-paced industry. This is an in-office position based in our Woodland Hills office.

Requirements

  • 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
  • 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
  • Media Mixed Modeling necessary
  • Programming/scripting experience a must (R, Python), must have expertise in data wrangling as well as regression and machine learning functions
  • General Business Intelligence software expertise (SQL)
  • Ability to be client facing and translate technical subject matter into relatable business terminology and respond to unexpected questions on the spot
  • Creative thinker that is willing to challenge the norm to improve analytic processes
  • Proactive individual with strong problem-solving skills and an entrepreneurial spirit

Nice To Haves

  • Master's Degree in mathematics, statistics, data science or related field
  • Deep expertise in advertising platforms and/or the ad tech industry preferred
  • Certification or familiarity with industry-standard tools and platforms can be advantageous (Google Ads certification, Facebook Blueprint, etc.)

Responsibilities

  • 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, and production-alize new models for media optimization and driving client business
  • Work closely with clients, account, and media teams to assess business and marketing challenges, discuss 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

Benefits

  • Collaborative culture prioritizes employee well-being
  • Encourages creativity and innovation
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