Senior Analyst, Data Operations

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 www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

The Marketing Analytics and Business Insights (MABI) function supports AbbVie’s US organization and is comprised of highly respected researchers, analysts, data scientists and strategists who are committed to being best-in-class within the biopharmaceutical industry.  We serve as a strategic in-house counsel, ensuring that all decisions leverage the key insights that we develop.  We continue 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.  We are a passionate, diverse, flexible, and inclusive organization with a culture that supports the best ideas, wherever they originate.  We are smart, fun, quirky, and innovative – and we’d love for you to join us.   

As the Senior Analyst, Data Operations, you will take ownership of assigned responsibilities to ensure the smooth operation of data pipelines that enable cross-functional business teams including AbbVie’s MABI Analytics Teams, Incentive Compensation and Field Reporting teams. The Senior Analyst, Data Operations plays a critical role in ensuring that weekly, monthly, and quarterly processes related to data are executed and documented correctly. The Senior Analyst will take action based on results of data quality monitoring tools, including ad hoc data analysis and informing partner teams.

KEY RESPONSIBILITIES:

• Act as the Data Steward for assigned subnational datasets and the pipelines that update and refresh them, ensuring adherence to the USTO Data Governance Operating Model including:
  • Partnering with Business Technology Solutions (BTS) Data Custodians to translate business needs (evolving business logic, business data quality rules) into automated transformations and quality controls, with support and guidance from manager
  • Managing the issue management queue arising from automated quality controls and user-submitted issues including prioritization, resolution, communications, and KPIs
  • Designing and executing root cause analysis related to identified data quality issues under the guidance of the data operations manager
  • Keep the business data glossary up to date as data feeds evolve, ensuring that terms, classifications, and business rules are effectively documented and accessible to data users
  • Ensure that all compliance-related classifications and tagging are complete for Critical Data Elements associated with assigned subnational datasets, and support any audit requests as per manager guidance
  • Document and submit data change requests to data vendors, coordinate with vendors to ensure on-time delivery for assigned data sets and communicate internally in case of any delays
  • Facilitate appropriate communication with data users about news items and alerts impacting datasets they use by maintaining the log of news and alerts, documenting communication actions taken for each product news, and drafting data newsletter content for manager review
• Continuously improve subnational data operations by implementing process changes as aligned with manager, supporting process health measurement, and identifying opportunities for further improvement
  • Develop subject matter expertise in the data pipelines through which assigned datasets flow into downstream use cases, leverage this expertise when collaborating with downstream users on opportunities for improvement
• Support smooth operations and continuous improvement of internal and third-party analytics pipelines that leverage business logic applied to claims data to split HCP-level product TRx into product-indication TRx and NBRx as per manager guidance
• Facilitate new data onboarding and changes to syndicated data purchases including new suppliers of subnational data by taking ownership of assigned action items and driving to completion
• Effectively communicate status, results and achievements across all the appropriate teams

• BA or BS degree required. MBA or Master’s Degree in Computer Science, Data Science, Statistics, or related technical field is preferred.
• Bachelor’s degree plus 3+ years of related work experience, or Master’s degree plus 2+ years of related work experience (business, system or commercial analytics, IT/systems experience)
• Strong working knowledge and experience of working with SQL, Python, Power BI, and Excel
• Demonstrated ability to use analytic tools such as Dataiku or SAS.
• Experience working with Snowflake or Commercial Data Lake Platforms.
• Good understanding of commercial data sources and data needs within pharma (e.g., IQVIA, Symphony Health).
• Experience with data management tools and platforms (e.g., data warehouses, ETL tools).
• Experience contributing to operational processes with strict cadences (e.g weekly or monthly deliveries) and ensuring they run on time
• Experience contributing to data & analytics roadmaps
• Analytical reasoning abilities, intellectual curiosity, strong business acumen, and creativity in problem solving
• Role requires the ability to understand the commercial environment and business needs and translate to data and infrastructure requirements.
• Strong communication skills.  Ability to interact effectively with cross functional teams and vendor partners.
• Builds strong relationships with peers and cross functionally with partners outside of team to enable higher performance
• Contributes to a learning environment, open to suggestions and experimentation for improvement

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. 

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