{"id":1351317,"url":"https://alion.io/job/omnicom-senior-data-analyst","title":"Senior Data Analyst","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":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","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":80000,"max":90000,"currency":"USD","period":"year","gross":null,"usd_annual":90000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Salesforce Data Cloud","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Apex","optional":true}],"status":"live","first_seen_at":"2026-09-17T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-17T04:25:28Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"Agency:\nOmnicom Precision MarketingJob Function:\nData and AnalyticsJob Subfunction:\nData Science and AnalyticsJob Description:\nMRM is part of the Omnicom Precision Marketing activationpractice. This practice integrates CRM platform expertise, journey management, and first-party data capabilities with creative excellence and performance capabilities, enabling Omnicom to deliver intelligent activation across the full funnel with data-driven decisioning at scale to help clients move faster and deliver more connected customer experiences.\nMRM is a modern relationship marketing agency dedicated to building enduring brand relationships. MRM's specialized capabilities drive relationship lifetime value and span CRM, Customer Experience, and Commerce with data and martechat the core. MRM operatesin a borderless, integrated way to enable greater collaboration, creativity, and true speed to market. For more information, please visit www.mrm.com.\nAbout the Role\nMRM Health is lookingfora Senior Analyst, Omnichannel Data & Analytics to join our Marketing Science team (data transformation, data strategy, performanceand analytics) within a healthcare-focused marketing agency, so familiarity with healthcare and pharmaceutical marketing is highly valuable.\nThis role sits at the intersection of data analytics, audience science, marketing technology, and strategy, supporting clients in building and activating more connected, data-driven omnichannel experiences.\nThe ideal candidate combines strong analytical and BI capabilities with a solid understanding of how data moves across a modern marketing ecosystem - from ingestion and identity resolution within a CDP to audience creation, activation across media and CRM channels, and performance measurement.\nThis is not a purely technical or reporting-focused role. We are looking for someone who can connect data, technology, activation, and business objectives, translating complex datasets and platforms into actionable insights and strategic recommendations for our clients.\nThe successful candidate should understand - or be able to quickly develop an understanding of - the specific challenges associated with healthcare data and omnichannel marketing, including:\nHCP and consumer/patient audiences\n\nHealthcare-specific identifiers and data sources\n\nPrivacy, consent, and regulatory considerations\n\nHCP engagement and prescribing journeys\n\nPaid and non-personal promotion channels\n\nFirst-partyand third-party healthcare data\n\nMeasurement challenges within regulated environments\n\nThisrole will work within an evolving modern marketing and data ecosystem that includes:\nSalesforce Data Cloud - CDP, identity resolution, unified profiles, segmentation, and audience activation\n\nSalesforce Marketing Cloud - CRM, marketing automation, personalization\n\nGoogle Analytics 4 - digital behavioral analytics and measurement\n\nDatabricks - advanced analytics, data intelligence, and AI\n\nThe Trade Desk and other media platforms - audience activation and media measurement\n\nBI and data visualization tools - Looker, Tableau, PowerBI\n\nSQL and analytical/modeling/data manipulation environments including Python\n\nKey Responsibilities\nOmnichannel Analytics & Insights\nConduct advanced analyses across digital, CRM, media, and customer/HCP data to identifybehavioral patterns, audience opportunities, journey insights, and optimization opportunities.\n\nMove beyond reporting to identifywhy performance is changing, what opportunities exist, and what actions should be taken next.\n\nCDP, Data & Audience Science\nWork hands-on with Salesforce Data Cloud and Marketing Cloud Personalization to explore customer/HCP profiles, attributes, behaviors, segments, and audiences.\n\nPrepare and transform data from CDP to analytics and AI-enabled platforms including Databricks\n\nSupport the identification, definition, sizing, and validation of audiences for activation across CRM, marketing automation, and paid media.\n\nMedia & Activation Analytics\nSupport CDP-to-media use cases, including audience activation with DSPs and media partners such as The Trade Desk, Metaor Google.\n\nAnalyze audience activation performance, match rates, reach, engagement, conversion, and other relevant media outcomes and evaluate opportunities to use first-party data and CDP audiences to improve targeting, suppression, personalization, and media efficiency.\n\nBI & Advanced Analytics\nPerform exploratory and advanced analytics using multiple structured and behavioral data sources.Work with Databricks and AI-enabled analytics capabilities to support deeper audience intelligence, predictive analysis, behavioral modeling, and emerging AI-driven marketing use cases.\n\nIdentifyopportunities to evolve from descriptive analytics toward predictive and prescriptive analytics.\n\nRequired Skills & Experience\n4+ years of experience in marketing analytics, customer analytics, digital analytics, BI, marketing technology, or related fields.\n\nStrong SQL skills and experience working with large and complex datasets\n\nExperience with CDPs, customer data platforms, or audience management environments\n\nStrong understanding of data ingestion, data models, identity resolution, segmentation, and audience activation concepts\n\nExperience in building ETL (Extract, Transform, Load) processes\n\nExperience analyzing digital marketing, CRM, customer, or media data\n\nExperience with BI and data visualization tools\n\nFamiliarity with digital analytics platforms such as Google Analytics\n\nExposure to predictive analytics, machine learning, or AI-driven marketing analytics\n\nAbility to understand technical data flows and communicate effectively with fellow data practitioners and technology teams\n\nStrong communicationand storytelling skills, including the ability to present analytical findings to non-technical stakeholders\n\nAbility to operatein a consulting or agency environment across multiple disciplines and stakeholders.\n\nPreferred Qualifications\nExperience with Salesforce Data Cloud, and/or Salesforce Marketing Cloud, Marketing Cloud Personalization\n\nExperience with Databricks or comparable cloud data and analytics platforms\n\nExperience with media activation platforms\n\nExperience in pharmaceutical, healthcare, or life sciences marketing and platforms like IQVIA\n\nUnderstanding of HCP and patient/consumer data ecosystems\n\nExperience with audience analytics, customer segmentation, identity resolution, and omnichannel measurement\n\nExperience translating marketing use cases into data, technology, and measurement requirements.\n\nThe salary range for this position is $80,000 to $90,000. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position; the associated discipline; market considerations; budgetary considerations; tenure and standing with the company (applicable to current employees); as well as the employee’s/applicant’s background, pertinent experience, and qualifications.\n\n$80,000-$90,000\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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