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Data Automation and Analytics Manager

icon building Company : Abbott
icon briefcase Job Type : Full Time

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Job Description - Data Automation and Analytics Manager

     

JOB DESCRIPTION:

We are looking for a Data Automation & Analytics Manager to join our Structural Heart division at the regional headquarters in Diegem, Belgium. In this high‑impact role, you will lead the transformation of data, analytics, and automation into strategic enablers for commercial excellence across the region.

About Abbott Structural Heart Division

At Abbott, our Structural Heart division is dedicated to developing innovative technologies that improve the lives of patients with complex cardiac conditions. We combine scientific expertise with digital innovation to deliver therapies and insights that support better patient outcomes across Europe, the Middle East, and Africa.

Across the region, we are strengthening our capabilities in advanced analytics, automation, and artificial intelligence to equip teams with tools that enhance decision‑making, efficiency, and strategic focus.

What You’ll Do

  • Define and execute a regional strategy that transforms data into meaningful insights supporting commercial and operational goals.

  • Lead processes that ensure data quality, consistency, governance, and accessibility across departments.

  • Guide the development of modern cloud‑based data platforms, including the use of Microsoft Azure and data lake technologies.

  • Build automation solutions using tools such as Power Automate, Power Apps, robotics‑based automation, and workflow orchestration.

  • Apply machine learning and forecasting techniques to identify trends and opportunities.

  • Create dashboards and reports in Power BI with aligned and standardized performance indicators.

  • Support visibility of sales performance and contribute to incentive and compensation analysis.

  • Lead cross‑functional initiatives and deliver training to strengthen data literacy within the organization.

What You’ll Need

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.

  • At least 15 years of work experience, with a minimum of 5 years focused on analytics, automation, and dashboard development.

  • Expertise in cloud technologies, including Microsoft Azure, data lakes, and data extraction, transformation, and loading processes.

  • Advanced ability to design dashboards in Power BI, including modeling, data preparation, and optimization.

  • Practical experience with the Microsoft Power Platform, application integrations, robotics‑based automation, and workflow automation.

  • Understanding of artificial intelligence and machine‑learning concepts, including deployment of predictive models.

  • Experience working with customer relationship management platforms such as Salesforce, Microsoft Dynamics, or SAP.

  • Strong communication skills, project leadership capabilities, and stakeholder‑management experience.

What We Offer

  • A dynamic and inclusive work environment that values innovation.

  • Opportunities for professional growth within a global organization.

  • Competitive compensation and a comprehensive benefits package.

  • Access to training programs, development resources, and certification opportunities.

  • The chance to lead high‑visibility projects that shape the future of data and commercial excellence.

  • Collaboration with diverse teams across regions and business functions.

  • A role that directly supports innovation and improves patient outcomes.

  • Support from senior leadership committed to digital and analytical transformation.

     

The base pay for this position is

N/A

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

     

JOB FAMILY:

Sales Support & Administration

     

DIVISION:

SH Structural Heart

        

LOCATION:

Belgium > Diegem : Building B

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Not specified

     

MEDICAL SURVEILLANCE:

Not Applicable

     

SIGNIFICANT WORK ACTIVITIES:

Not Applicable

     

     

     

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