{"id":1316488,"url":"https://alion.io/job/omc-associate-director-advanced-analytics","title":"Associate Director, Advanced Analytics","company":{"id":720301,"name":"Omnicom","domain":"omc.com","url":"https://alion.io/company/omnicom","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":80,"ghost_share":0,"stale_share":0.913,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":70000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-16T13:35:35Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Agency:\nOmnicom MediaJob Function:\nData and AnalyticsJob Subfunction:\nData Science and AIJob Description:\nBeauty Co-Lab (BCL) is a bespoke Omnicom Media Group unit for L’Oréal USA delivering an industry-leading agency solution that drives business growth and transformation. For over a century, L’Oréal has devoted its energy, innovation, and scientific excellence solely to one vocation: Creating Beauty, with the main goal of offering each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity, and responsibility to satisfy all beauty needs and desires in their infinite diversity.\nAt Beauty Co-Lab, our mission is to co-create what's next, and our team possesses modern media, commerce, and analytical skillsets to keep pace with the rapidly changing ecosystem. We are passionate about beauty, media, data, and technology. With deep expertise in data and technology, we design audience-first, full-funnel, and omni-channel strategies to achieve L'Oréal's mission: Create the Beauty that moves the world.\nThe Advanced Analytics team is pivotal to delivering marketing science in the modern agency. Tightly integrated within BCL and L’Oréal, we collaborate across strategy, investment, and brand teams to deliver cutting-edge solutions that blend scientific rigor with commercial applicability.\nROLE DESCRIPTION\nEXTERNAL-FACING RESPONSIBILITIES\nBuild causal experimentation models to advance L’Oréal’s learning agenda.\nCo-develop best-in-class statistical learning techniques with the L’Oréal Advanced Analytics team to solve complex media challenges.\nPartner with Planning & Investment teams to provide both hands-on and strategic analytics support across the entire campaign lifecycle.\nDemonstrate excellent project management skills, with the ability to set goals, meet deadlines, and act with a strong sense of urgency without compromising executional excellence.\nINTERNAL-FACING RESPONSIBILITIES\nDevelop the Advanced Analytics practice knowledge repository and provide guidance to junior members of the team to support the vision.\nElevate the current analytics methodology by building replicable statistical frameworks that adhere to scientific rigor while maintaining commercial applicability.\n Provide support in media strategy, measurement, and optimization requiring expertise in advanced analytics work, with a special focus on marketing mix models (MMMs).\nEDUCATION AND EXPERIENCE\nUniversity degree in a quantitative field like Statistics, Math, Physics, Economics, Computer Science, or Engineering with 5+ years of experience (advanced degree preferred).\nProfessional background in a media agency, in-house marketing team, or management consulting firm (strongly preferred).\nExperience applying advanced analytics within a media environment to solve business problems, including proficiency in coding (e.g., Python, R, SQL), querying databases, and statistical analysis.\nDeep understanding of Bayesian approaches, causal experimentation, media mix modeling, and their commercial application.\nABOUT YOU AND US!\nYou have an insatiable appetite for learning, thrive in a fast-paced environment, and bring a positive attitude to any circumstance.\nYou value culture. We are big on creating a fun environment where intellectual curiosity thrives and being a team player isn't just \"nice-to-have\"-it’s central to our ethos.\nYou balance collaboration with conviction. You know when to challenge the norm and when to \"disagree and commit.\"\nMost importantly, you love analytics! If this describes you, we want to hear from you!\n\nNew York: $70,000.00-$135,000.00\nOmnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.\nOmnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.\nLink to Recruitment Privacy Notice: https://www.omc.com/privacy-notice\nFor US Job Seekers:\nIt is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. 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