Experienced professional specializing in Pharma Master Data Management and analytics, ensuring high data quality, accurate reporting, and timely delivery.
Key Responsibilities
- Performing data stewardship for Monthly/Quarterly Master Data Management Processes
- Maintenance of data and Business rules based on Pharma market, dataset Knowledge and client specific requirements.
- Sharing errors free Monthly/Quarterly reports to the various stakeholders.
- Perform Rapid Ad hoc analysis on the available datasets to answer senior management queries with a short turnaround time.
- Create new analysis/visualizations on Microsoft Office suite/Qlik Sense/Power BI/Tableau
- Build a strong communication channel with the client with a mindset to take ownership of tasks provided to you.
- Sharing ideas with clients regarding constant process enhancements.
- Building client relationships and taking the engagement forward.
- Can lead a team to ensure timely delivery, address data quality issues, such as data gaps or biases in underlying data sets, as well as their impact on reporting capabilities.
Core Competencies
- Understanding of Pharma Industry
- Comfortable working in dynamic environments and adapting to evolving business needs
- Ability to communicate technical concepts clearly and concisely to non-technical audiences
- Ability to analyze complex data problems and develop efficient, scalable solutions
Required Qualifications
- Master's or bachelor's degree in Pharma discipline.
- 1-2 years of experience working with Pharma Data Sets and Therapy Area
- Advanced verbal and written communication skills in English.
- Proficiency in one or more of the tools: Excel/VBA, BI tools (Power BI/Tableau/Qlik Sense), Database management tools (SSMS/MySQL).
- Strong attention to detail and organized.
- Can do attitude and ability to take initiative.
- Expertise in data visualization, data analysis, and automation.
- Valuable problem-solving skills and an analytical mindset.
- Prior experience with datasets like IQVIA MIDAS Monthly/Quarterly sales, IQVIA Prescription Data, IQVIA Channel Dynamics, Evaluate Pharma.
- Data visualization: Tableau, Power BI, and Excel VBA.
- Data analysis: SQL, Python, and R.
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