Manager, Omnichannel Analytics
AbbVie 197000.00 US Dollar . USD Per annum
2024-11-16 02:54:32
East Irvine, California, United States
Job type: fulltime
Job industry: I.T. & Communications
Job description
Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on Twitter , Facebook , Instagram , YouTube and LinkedIn .
Job Description
The Marketing Analytics and Business Insights (MABI) team supporting AbbVies US Commercial organization is 200+ members strong and growing every day. We comprise highly respected researchers, analysts, and strategists striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at data differently as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously without taking ourselves too seriously. We are smart, fun, quirky, and innovative and wed love for you to join us.
The role of Omnichannel Analytics Manager within AbbVie is to lead experimental test design & measurement, and development of Omnichannel analytics insights. The ideal candidate has a keen ability to interpret analytics insights and identify opportunities/gaps to inform Omnichannel Marketing strategy. The ideal candidate will also be able to convert insights into actionable recommendations and collaborate with stakeholders to deliver ROI results through exceptional oral and written communication.
Primary Responsibilities:
- Own Business data/attributes along with data sources and business rules that feed modeling, reporting and measurement.
- Articulate business owner needs and support use case ideation and development.
- Design experimental testing, measurement plan and appropriate execution plans in partnership with the Digital Lab team and media agency of record.
- Conduct testing measurements with established methodologies and deliver statistically significant results including marketing ROI impact.
- Establish media KPIs benchmarks and maintain visibility to the correlation between media exposure and patient treatment adoption across marketing tactics (channels, audience, etc.)
- Contribute to monthly Omnichannel performance reporting, leveraging media performance measurement and analyses.
- Perform digital audience analytics to inform personalized audience strategy and optimize the Omnichannel experience.
- Interpret Omnichannel performance and audience insights to identify opportunities to target new patients.
- Perform ad-hoc analyses to deep dive drivers behind media and audience performance across paid and owned channels.
Required Skills:
- Bachelors degree required in one of the following fields: Physics, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Applied Mathematics/Physics, and/or Quantitative Analysis
- Hands-on experience in coding SQL (BigQuery, Hue, SQL Assistant, etc.)
- 5+ years of experience identifying and outlining key metrics and building campaign performance/measurement plans/marketing analytics.
- Strong experience in brand marketing and optimization.
- Demonstrated experience in Omnichannel marketing and analytics space, such as digital media, search, social, websites, endemic, and familiarity withdigital targeting, activation, trafficking, and measurement.
- MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.)
- Knowledge of digital marketing data from various publishers/channels and Adobe clickstream data etc. 3rd party pharmaceutical patients claim data is preferred.
- Strong written and oral communication, data visualization, presentation, and interpersonal skills.
- Strong collaboration skills and ability to influence the development and adoption of analytic capabilities.
- Strong planning and project management skills.
- Ability to distill complex information into concise and impactful stories/presentations.
- Exceptional analytical, and problem-solving skills and attention to detail.
- High motivation, strong work ethic and positive attitude while working under tight deadlines.
- Masters/MBA or PhD is preferred.
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:
- The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemay ultimatelypay more or less than the posted range. This range may be modified in thefuture.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
- This job is eligible to participate in our short-term incentiveprograms.
- This job is eligible to participate in our long-term incentiveprograms
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.
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