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职位AbbVie

Data Excellence Associate Manager

AbbVie

Data Excellence Associate Manager

AbbVie

Rome

·

On-site

·

Full-time

·

2d ago

The Data Excellence Associate Manager will have a key responsibility to design and execute ad-hoc analysis in specific domains (i.e. In-Field Teams Activity, Content), with the ultimate goal of delivering a positive impact in the business by supporting Commercial business partners. The Data Excellence Associate Manager is expected to constantly work cross-function with strong business orientation and highly analytical mindset. A good communicator with natural curiosity with a continuous learning mindset to advance new technical skills and methodologies striving to remain abreast of leading-edge advanced analytics technologies.

Main responsibilities:

  • Serve as a leading team member in the Affiliate team, working cross-functionally to design and execute ad-hoc analysis in specific domains (i.e. In-Field Teams Activity, Content) and be a trusted partner for Affiliate brand teams and leadership.
  • Drive the engagement of affiliates stakeholders to define business questions, requirements, timelines, objectives, and success criteria for data analysis initiatives.
  • Work closely with Business Technology Solutions (BTS) and CEx WWD team to ensure smooth transition of pilots into production, including technical guidance with respect to replication and scaling, with specific focus on visualizations. Ensure Data Analysis and Visualization components and projects are conducted on time, accurately, within budget, and in accordance with financial and ethical compliance guidelines.
  • Collaborate to transform data into business insights that are useful for decision making and strategic planning utilizing complex statistical models and algorithms. Identify the best way to disseminate information through utilization of different tools and visual elements to stakeholders.
  • Guiding Data Pipeline Development (content checks, preparation, mapping, joining, stitching). Understand and assess data fit and quality, informing and partnering with the local and international data steward to maintain the highest data standards.
  • Has a deep understanding of Abb Vie data assets and Ontology in Foundry. Define data entities and objects requirements and brief the Data Engineering team to create the appropriate environments.
  • Oversee, analyze and prepare data to be used by the Data Scientists team. Understanding business requirements, utilize data sets of varying degrees of size and complexity to inform the development of Machine Learning algorithms. On top, he/she will be responsible for the rollout of new Call Plan Optimizer (CPO) in new brand / indications in Italy and maintenance of all other existing CPO’s.
  • Together with the other Data Excellence team members is responsible for training newcomers on our Analytical Tools (ie. Qlik Sense, NGA) mainly focused on In-Field Team and Commercial Headquarter colleagues.
  • Local champion of international use cases like ACE Pulse, Content Dashboard.
  • Actively represent Italy in the International CEx WWD Community.

Required skills and experiences

  • A relevant bachelor’s degree in operations research computer science, data engineering, data science, mathematics, statistics or economics. A Master’s Degree or MBA will be a plus.
  • Fluency in English is a must (written & spoken).
  • Minimum 3-5 years working in business analytics, data analyst, market research, data engineering or data science roles.
  • Analytical reasoning abilities, intellectual curiosity, business acumen, and creativity in problem solving. Strong communication skills, people person. Ability to interact effectively with/present to (verbally and in writing) all levels of the organization (up to Affiliates GM). Ability to be agile & nimble to changing business conditions, strong collaboration, and teamwork across functional groups to contribute to a productive work culture. Lead strategically and create trust and respect within the department.
  • Analyzing and drawing insights from key internally generated and external data sets. Ability to operate Exploratory Data Analysis with advanced tools and processes in multiple environments. Ability to define use cases and develop high-quality visualizations to provide excellent user experience. Foundry-related skills and experience (desired), including data preparation, pipeline inputs and development and visualization using Foundry Apps (monocle, forms, workshop, slate, etc).

Abb Vie 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

About Abb Vie

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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

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关于AbbVie

AbbVie

AbbVie

Public

Pharmaceutical company.

10,001+

员工数

North Chicago

总部位置

$200B

企业估值

评价

3.2

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

2.8

职业发展

2.9

管理层

2.3

45%

推荐给朋友

优点

Good compensation and benefits

Strong leadership potential

Good work-life balance and flexibility

缺点

Toxic work environment

Poor management and leadership issues

Frequent policy and organizational changes

薪资范围

88个数据点

Junior/L3

Mid/L4

Director

Junior/L3 · Associate Manager, Promotion Analytics

1份报告

$144,943

年薪总额

基本工资

$125,951

股票

-

奖金

-

$144,943

$144,943

面试经验

4次面试

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 25%

负面 75%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge