Manager, Commercial Analytics

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
• A company recognized as one of the best big companies to work for, as well as one of the best places to work for diversity, working mothers, female executives, and scientists.

The Commercial Analytics Manager is responsible for providing analytical leadership by integrating execution, sales and marketing data to drive analytics and reporting. This leader will strengthen the brand team’s understanding of the market and support the execution of the business strategies that propel the brand growth in the market. By operating independently, the manager will identify and address key business issues relative to product performance by adopting a collaborative approach with stakeholders. This role will lead the generation and communication of data driven insights to business partners within the commercial organization. The manager will proactively develop key strategic initiatives, identify and measure KPIs to  inform business decisions.  The report generation responsibilities of the role include strategizing, processing organized data to develop dashboards and automate reports to be efficient with handling repetitive requests. The manager is also expected to socialize the key reporting dashboards with stakeholders and advocate for self-service to optimize the use of resources within the team. The manager should be proficient in the application of various big data analytical platforms and advanced analytical techniques used by the commercial analytics team.

• Analyze large, complex third-party and enterprise datasets using descriptive and advanced analytical methods to identify trends and generate actionable business insights.

• Translate business needs into clear analytical frameworks by partnering with cross-functional Commercial teams and presenting findings through compelling data storytelling and visualizations.

• Define meaningful performance KPIs and develop automated dashboards, reports, and tracking tools that enable effective decision-making and improve reporting efficiency.

• Ensure data is accurately processed, synthesized, and maintained, while supporting broader data management practices that strengthen reporting integrity and reliability.

• Serve as a trusted analytical partner by anticipating stakeholder needs, independently solving complex problems, influencing decisions, and communicating recommendations to senior leadership.

• Lead continuous improvement of analytics tools and processes while building strong cross-functional relationships and coaching and mentoring junior team members

• Bachelor's degree in Math, Business, Computer Science, Engineering, or other field related to the essential duties.

• 4+ years of relevant business experience, or advanced degree, or professional certifications.

• Proficient in Microsoft Office; especially Excel.

• Demonstrated ability to apply qualitative or quantitative business analysis while leveraging primary or secondary data.

• Demonstrated ability to manage and leverage multiple data sources.

• Demonstrated ability to perform the Essential Duties of the position with or without accommodation.

• Authorization to work in the United States without sponsorship.

• Biotech or Pharmaceutical industry experience.

• Experience working with or within a Commercial Organization.

• Working experience with the following platforms:

  • Visualization tools (Tableau, Power BI etc.).

  • Data preparation / processing tool (e.g. any of SQL, Alteryx, Tableau Prep etc.).

  • Statistical tool (e.g. any of R, SAS, Python etc.).

• Relational data models.

• Experience developing and reviewing surveys.

In specific locations, the pay range may vary from the range posted.