About Allergan Aesthetics At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit www.AllerganAesthetics.com. Allergan Data Labs is on a mission to transform the Allergan Aesthetics business at AbbVie, the fourth pharmaceutical company in the world. Allergan Aesthetics brands include Botox, CoolSculpting, Juvéderm and more. The medical aesthetics business is ripe for disruption and we’re building a high performing team to do just that. Our leadership has a fresh and innovative vision for how the company should approach digital marketing and analytics. We’re looking for a strong, technically sound BI Specialist, Marketing Analytics who is interested in working within a startup-oriented environment while having the backing of a large company. If that’s you, please read on. The BI Specialist, Marketing Analytics partners with stakeholders across the business to answer analytical questions critical to the success of our teams and our customers, such as: How are our largest customers performing, and how can we help them improve? Which of our marketing investments are most effective? What trends do we see across the business and how do those trends differ across different customers? You will design innovative analytic approaches to test hypotheses, drive actionable insights by identifying patterns in structured and unstructured data, and develop recommendations to drive business performance. Not only will you conduct analysis, but you will work with stakeholders across the organization to influence and shape decision-making, grounded in data. You will be instrumental in leading the use of analytics as a critical value driver and source of competitive advantage across our organization, and will serve as a thought-leader for the way analytical work is done within ADL You Will Apply advanced analytics and business strategy techniques (core statistical-modeling, data visualization, data mining) to extract actionable insights through analysis of large-scale, high-dimensional data. Create alignment with stakeholders to understand their analytic needs and provide accurate, actionable and insightful analysis beyond the ask to support their critical business decisions. Influence how stakeholders think about their own area of the business in a data-driven way (e.g. what KPIs are more meaningful and measurable). Shape the thinking of our teams by not only communicating the details of your analysis, but its business implications – influence stakeholders to make better business decisions, including senior leadership Develop strategies, analyses and dashboards to enable unambiguous visibility into business and industry performance Provide internal thought leadership – shape our best practices for analytics within ADL and serve as a mentor for less seasoned data analysts Partner with data engineers to ensure accurate and up-to-date data power each analysis. Qualifications Experience & Skills Bachelor’s degree in Mathematics, Statistics, Operations Research, Computer Science, Business Intelligence/Analytics or equivalent. Demonstrated 5 - 10+ years’ experience in driving business decisions with data-driven analyses. Comfortable navigating ambiguity - creative in devising problem-solving approaches in the face of incomplete data or new problems to solve Expert in bridging business and analytics – routinely probes for second-order understanding to get at the ‘question behind the question’ to ensure that analytics drives real business value Highly proficient with SQL. Expert in modern visualization tool(s) like Tableau, Looker, etc. Extensive experience building analytical approaches and dashboards to present meaningful data insights and business opportunities. Comfortable using massive datasets and the big data eco-system. Regular experience applying statistical analyses and modeling to business problems; experiment design, hypothesis testing, regression, etc. Demonstrated ability working independently and applying exceptional creativity in solving open-ended problems. Collaborative and decisive verbal, written, and visual communication skills for data storytelling. Preferred Experience & Technical Skills Master’s degree in Mathematics, Statistics, Operations Research, Computer Science or equivalent Python scripting experience to perform data wrangling and analysis. Experience working with Snowflake or similar distributed databases. Our Core Values Be Humble: You’re smart yet always interested in learning from others. Work Transparently: You always deal in an honest, direct and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers. Learn More: Through blog posts, newsletters, podcasts, video tutorials and meetups you regularly self educate and improve your skill set. Show Gratitude: You show appreciation and return kindness to those you work with. #LI-ADL Significant Work Activities Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day) Travel No Job Type Experienced Schedule Full-time Job Level Code M About AbbVie AbbVie’s mission is to discover and deliver innovative medicines 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, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. Equal Employment Opportunity At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis 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, protected veteran status, or any other legally protected characteristic.