(Asst) Manager, Marketing Data Analysis

Posted 28 Days Ago
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Shanghai, Shanghai Municipality, Shanghai, CHN
Hybrid
Senior level
Healthtech • Pharmaceutical
The Role
Leads AI-enabled marketing data analysis, business insight generation, dashboard development, and visualization. Responsibilities include using generative AI for data exploration, classification, trend and anomaly detection, validating AI outputs, managing end-to-end analysis projects, developing Power BI dashboards, and communicating actionable recommendations to marketing and cross-functional teams.
Summary Generated by Built In
Company Description

About AbbVie

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 https://global.allerganaesthetics.com/. Follow Allergan Aesthetics on LinkedIn.

Job Description

We are looking for a colleague with hands-on experience in AI applications, strong data analysis capabilities, and a solid understanding of marketing. This role will help drive the use of AI in marketing data analysis, including internal data, external industry and competitive information, insight generation, and data visualization, while also leading other business-oriented data projects.

Key Responsibilities

1. AI Applications

  • Explore the application of generative AI in data analysis and insight work.
  • Use AI to support data exploration, information classification, trend identification, anomaly detection, and insight generation.
  • Develop reusable prompts, analysis templates, and AI output quality-check methods.
  • Validate AI output for accuracy, completeness, and business relevance.
  • Innovative mindset to leverage AI capabilities, for example build up internal data analysis tools/customized AI agent is a plus.

2. Marketing Data Analysis & Business Insights

  • Understand marketing activities, business questions and translate them into clear analysis objectives. Experience in measuring marketing activity effectiveness is preferred.
  • Independently lead data analysis projects from requirement understanding and analysis design to final delivery.
  • Analyze different types of data and information to identify key trends, gaps, and potential opportunities.
  • Combine data evidence with business context to generate objective, clear, and actionable insights.
  • Ensure consistency and accuracy of metric definitions, analysis logic, and final outputs.

3. Dashboard and Visualization

  • Translate complex analysis into management dashboards, topic-based dashboards, and visualized insights.
  • Use Power BI or similar tools to improve metric presentation and analysis experience.
  • Turn one-off analysis into reusable and continuously updated insight products.

4. Cross-Team Collaboration

  • Work with brand teams, digital teams, and cross function partners to implement data insight projects for marketing efficiency improvements.
  • Participate in requirement definition, solution testing, result acceptance, and continuous optimization.
  • Clearly communicate insights, business impact, and action recommendations to business teams.

Qualifications

  • Bachelor’s degree or above; background in data analysis, business analysis, big data technology, market analysis, statistics, information systems, software engineering, computer science, or related fields is preferred.
  • 5+ years of experience in data analysis/market insight/business insight. Experience in data tech/database/data product is preferred.
  • Hands-on experience using generative AI in practical analysis or insight projects. Deep understanding of generative AI, large language models, and related application trends.
  • Proficient in Excel, PowerPoint, Power BI, or other mainstream visualization tools.
  • SQL knowledge or hands-on SQL experience is preferred.
  • Strong data sensitivity, structured thinking, and business insight capabilities.
  • Able to independently deliver end-to-end projects, from business question understanding and analysis design to insight presentation.
  • Good communication, project management, and cross-functional collaboration skills in both Chinese and English.

Additional Information

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Skills Required

  • Bachelor's degree or above in data analysis, business analysis, big data technology, market analysis, statistics, information systems, software engineering, computer science, or a related field
  • 5+ years of experience in data analysis, market insight, or business insight
  • Hands-on experience using generative AI in practical analysis or insight projects
  • Deep understanding of generative AI, large language models, and related application trends
  • Proficiency in Excel, PowerPoint, Power BI, or other mainstream visualization tools
  • SQL knowledge or hands-on SQL experience
  • Strong data sensitivity, structured thinking, and business insight capabilities
  • Ability to independently deliver end-to-end projects from business-question definition and analysis design through insight presentation
  • Good communication, project management, and cross-functional collaboration skills in both Chinese and English
  • Experience in data technology, databases, or data products
  • Experience measuring marketing activity effectiveness

AbbVie Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.

  • Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
  • Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
  • Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.

AbbVie Insights

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The Company
HQ: North Chicago, IL
56,000 Employees
Year Founded: 2013

What We Do

AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.

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