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Data Analytics Manager

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, virology and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com  - www.abbvie.fr. Suivez @abbvie sur LinkedIn, X (ex Twitter) et YouTube

Job Description

We are looking for a curious, creative, and business oriented Data Analytics Manager, to work within our Global Winning with Data team to provide business expertise in Advanced/Predictive/Prescriptive Analytics. 

The position reports to the Winning With Data Country Enablement lead, a team composed by other data analytics manager, data scientists and data analysts.

This position can be based anywhere in Europe.

Within this context, your principal responsibilities will be to:    

  • Serve as a key team member on the Global Winning with Data team, working in close partnership with the Digital Transformation and Wining with Data Global Commercial Capability teams and becoming a trusted partner to Global, Area and Affiliate leadership.
  • Identify data objects, analyze and prepare data to be used by the Data Scientists team in partnership with the data engineers
  • Transform data into business insights that are useful for decision making from complex statistical models and artificial intelligence algorithms built by data scientists
  • Understand and assess data fit and quality, informing and partnering with the Global Data Stewards and local data expert to maintain the highest standards
  • Identify the best way to disseminate information through utilization of different tools and visual elements to stakeholders
  • Develop a deep understanding of AbbVie data assets and associated tools
  • Understanding business requirements and ensure proper translation on the advanced analytics models used, working closely with data scientists and data engineers
  • Drive the engagement of affiliates stakeholders to define business questions, requirements, timelines, objectives, and success criteria for data analysis initiatives
  • Engage the affiliates team up to director level during the critical deployment of global capabilities to the countries, understand local needs and define the related priority to close the loop into the global pipeline. Ensure full adoption by both Customer Excellence and brand & sales marketing local teams.

 

 

Qualifications

We are looking at either experience analytic manager or senior brand manager, sales manager and  business unit manager keen to work with data

  • Master degree required, with demonstration and focus on applied data science, Math, Statistics, Engineering, Operations Research, Computer Science or Economics / Business.
  • MBA will be considered a plus.
  • Ability to manage large data sets and analyze them, doing exploratory data analysis
  • Minimum of 6 years of data analysis experience or 6 years as brand / sales manager
  • Ideally 3 years of experience working in global roles interacting with multiple countries stakeholders in a matrix organization.
  • Analytical reasoning abilities, intellectual curiosity, business acumen, and creativity in problem solving
  • Strong communication skills, ability to interact effectively with all levels of the organization (up to Affiliates Directors and Global Senior Directors / VPs)
  • Ability to be agile & nimble to changing business conditions and teamwork across functional groups to contribute to a productive work culture.  Lead strategically and create trust and respect within the department.

Additional Information

Working at AbbVie France, it is also benefiting from a work environment designed with employees in mind. Our offices are located in the Rungis Business Park, 5min away from the town of Rungis, reachable from Paris with the line 14, RER C, tram 7, and bus 216. You can also find a gym, as well as restaurants, and food trucks within the Business Park.

For our employees’ work life balance, AbbVie France offers the possibility to work from home up to 2 days a week. Find more about AbbVie’s benefits here: https://www.abbvie.fr/careers/benefits1.html

For us, equality, diversity, and inclusion are essential pillars. We are proud to have built an environment that allows each of our employees around the world to realize their full potential.

You can find us at www.abbvie.com  / @ABBVIE sur Twitter, Facebook, Instagram, YouTube LinkedIn.

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 AbbVie’s 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.

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

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Average salary estimate

$80000 / YEARLY (est.)
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$70000K
$90000K

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What You Should Know About Data Analytics Manager, AbbVie

Are you ready to take your career to the next level? AbbVie is on the lookout for a passionate and innovative Data Analytics Manager to join our Global Winning with Data team in Rungis, France. This role is tailored for someone who thrives on turning data into actionable insights that can drive strategic business decisions. As the Data Analytics Manager, you will collaborate with various teams, including Digital Transformation, to harness the power of advanced analytics and predictive modeling. Your expertise will be pivotal in transforming complex datasets into digestible insights, enabling our leadership teams to make informed decisions. A crucial aspect of your role will involve working closely with data scientists and engineers, ensuring the data's quality and fit for purpose while facilitating effective communication among stakeholders. You'll also need to be adept at engaging with affiliates and understanding their unique needs in order to contribute meaningfully to our global initiatives. With a flexible European-based work environment and a commitment to work-life balance (including the option to work from home up to two days a week), AbbVie values your contribution while encouraging a vibrant community. If you have a master's degree in a relevant field and bring at least six years of experience, we would love to hear from you. Join us at AbbVie, where we are dedicated to driving innovation and making a real impact in healthcare.

Frequently Asked Questions (FAQs) for Data Analytics Manager Role at AbbVie
What are the primary responsibilities of a Data Analytics Manager at AbbVie?

As a Data Analytics Manager at AbbVie, your core responsibilities include collaborating with cross-functional teams to deliver advanced analytics, preparing data for analysis, and transforming insights into strategic recommendations. You'll work closely with data scientists to ensure quality data is used for statistical modeling and develop strong partnerships with leadership to address business needs.

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What qualifications do I need to become a Data Analytics Manager at AbbVie?

To qualify for the Data Analytics Manager position at AbbVie, applicants should have a Master’s degree in relevant fields such as Data Science, Statistics, or Business, coupled with a minimum of six years of analytics experience. A strong background in analytical reasoning and effective communication skills to liaise with various levels of stakeholders is essential.

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How does AbbVie support work-life balance for Data Analytics Managers?

AbbVie promotes work-life balance by offering flexibility in work arrangements. Data Analytics Managers can work from home up to two days a week and enjoy a supportive office environment that prioritizes employee wellbeing, located conveniently in the Rungis Business Park, close to Paris.

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What tools and technologies are commonly used by Data Analytics Managers at AbbVie?

Data Analytics Managers at AbbVie utilize a range of tools and technologies such as statistical software, visualization tools, and databases for managing large datasets. Familiarity with advanced analytics methodologies and tools will be a key aspect of your role as you convert data into actionable insights.

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Can you describe the team dynamics for the Data Analytics Manager role at AbbVie?

In the position of Data Analytics Manager at AbbVie, you will be part of a collaborative and multifunctional team known as the Global Winning with Data team. You'll work alongside data scientists, data engineers, and commercial capabilities teams, fostering a culture of knowledge-sharing and high performance while addressing global business objectives.

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Common Interview Questions for Data Analytics Manager
How do you approach data analysis in a multi-country environment?

When approaching data analysis across multiple countries, it’s crucial to understand local nuances and global trends. I would engage with country-specific stakeholders to gather requirements, ensuring that analysis meets local needs. Additionally, establishing a standardized framework for data quality and reporting would ensure consistent insights across regions.

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Can you explain a time when you transformed data into actionable insights?

In a previous project, I identified trends in customer engagement data that were overlooked. By analyzing the data, I provided insights that led to a revamped marketing strategy, resulting in a 20% increase in engagement rates. It highlighted the importance of data interpretation in driving results.

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What analytical tools are you proficient with?

I have extensive experience with tools such as SQL for data querying, Tableau for data visualization, and Python for analysis and modeling. Being proficient in these tools allows me to efficiently manage and analyze large datasets, turning raw data into user-friendly insights.

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How do you ensure the quality of data before analysis?

Ensuring data quality begins with thorough validation checks to identify inconsistencies or errors. I collaborate with data stewards to maintain high standards and regularly perform exploratory data analysis to assess fit before proceeding with deeper analytics. Data integrity is key to reliable insights.

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Describe your experience with predictive modeling.

In my previous role, I developed predictive models to forecast sales trends using historical data. The process involved feature selection, model training, and validation. I worked closely with stakeholders to align model outputs with business objectives, ensuring our strategies were data-driven.

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What strategies do you use to communicate complex data insights to non-technical stakeholders?

I use storytelling techniques by contextualizing data within the business narrative. Simple visualizations and dashboards tailored to the audience help convey key findings effectively. I also focus on actionable takeaways, allowing stakeholders to understand implications without getting lost in technical jargon.

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How do you handle conflicting views from stakeholders regarding data interpretations?

When faced with conflicting views, I facilitate collaborative discussions among stakeholders to understand their perspectives. Presenting data transparently can help address concerns and find common ground. Fostering open communication is vital for arriving at consensus-driven solutions.

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What do you consider the most important soft skill for a Data Analytics Manager?

I believe effective communication is paramount for a Data Analytics Manager. This role requires the ability to convey complex ideas clearly and build trust with stakeholders. Strong communication fosters collaboration, which is crucial for successful data-driven initiatives across the organization.

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How do you stay current with evolving data analytics methodologies?

I stay updated by following industry trends through online courses, webinars, and professional networking. Engaging in data communities and attending relevant conferences allows me to learn emerging methodologies. Continuous learning is vital in the ever-evolving field of data analytics.

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What’s your experience in leading a data analytics team?

In my last position, I managed a team of analysts where I promoted a culture of ongoing learning and collaboration. Regular training sessions and feedback loops ensured we aligned with business needs while enhancing our analytical skills. Leadership is about empowering your team to achieve collective goals.

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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: i...

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Full-time, hybrid
DATE POSTED
March 27, 2025

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