About this role
Job Summary
The Data Analyst supports the organization by collecting, preparing, analyzing, and visualizing data from multiple commercial source, including CRM systems, distributor data, and IQVIA Analyzer brick level data. This role requires strong technical capability in Power BI, Power Query, Excel, data Modeling, and basic data engineering/ETL concepts, paired with high learning aptitude, curiosity, and a proactive mindset.
The analyst will play an important role in evaluating field force activities data and generating insights to support Sales Force Effectiveness.
The position also offers future growth potential to contribute to regional and global digital/automation initiatives, working with advanced analytics, automation tools, and global data transformation programs.
Principal Duties & Responsibilities
1. Data Integration & Preparation
- Extract, clean, and transform data from CRM systems, distributor feeds, and IQVIA Analyzer (brick level competitor data).
- Maintain data mapping (territories, bricks, products, HCPs).
- Perform routine and ad hoc data quality checks for accuracy, completeness, and consistency.
2. Reporting & Dashboard Development (Power BI)
- Build and maintain dashboards and visual reports using Power BI, Power Query, and DAX.
- Develop performance dashboards covering SFE KPIs, territory performance, competitive activity, and distributor health.
- Automate data refresh cycles and continuously improve dashboards for usability and insights.
3. Insights & KPI Analytics
- Highlight gaps in productivity, call plan execution, and territory management.
- Provide analytical support to Sales, SFE, Marketing, and Field Managers.
- Analyze customer activity, call patterns, customer segmentation, and territory call plan execution from CRM.
- Maintain raw data from all internal/external sources.
- Link CRM activity to sales performance
- Compare internal sales with IQVIA brick level market/competitor performance to identify opportunities.
- Support training sessions for Power BI dashboards and CRM analytical features.
- Document processes, definitions, and analytical logic.
Knowledge & Experience
- 0–2 years of experience in analytics, business intelligence, or data management (internships/projects acceptable).
- Proficiency in:
- Business Intelligence Tools (visuals, DAX, metrics)
- Power Query (ETL steps)
- Excel (advanced level)
- Basic SQL (preferable)
- Exposure to IQVIA Analyzer and CRM data structures is a plus.
- Understanding of territory structures, brick level data, or SFE KPIs is advantageous.
Competencies Required
- Strong analytical and problem solving skills.
- High learning agility and motivation to develop deeper technical/BI skills.
- Curiosity and proactive behavior in exploring new tools and automation concepts.
- Strong communication skills; ability to simplify and present data insights.
- Team player with strong collaboration skills.
- Detail oriented, reliable, and disciplined in data handling and modeling.
Minimum Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, Mathematics, Engineering, or related fields.
- Relevant certifications in Power BI, Analytics, or SQL are a plus.
Other facts
About Abbott Laboratories
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and www.facebook.com/AbbottCareers, on Instagram @AbbottGlobal, and on X @AbbottNews.
We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce.
Terms of Use: https://www.abbott.com/social-media-terms-of-use.htm
What you'll do
- The Data Analyst will be responsible for collecting, preparing, analyzing, and visualizing commercial data from sources like CRM and distributor feeds, focusing on building and maintaining Power BI dashboards for Sales Force Effectiveness KPIs. This role also involves providing analytical support to sales and marketing teams by highlighting productivity gaps and comparing internal sales with competitor market performance.
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