Data Analyst, Supply Chain Planning
Azurity Pharmaceuticals
Date: 1 day ago
City: Hyderabad, Telangana
Contract type: Full time

Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company’s patient-centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit www.azurity.com.
Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization.
Brief Team/department Description
We are seeking a motivated and detail-oriented Data Analyst to join our dynamic Supply Chain team. This is an exciting opportunity to contribute to critical decision-making by leveraging data to optimize our supply chain. You will be involved in building data processing models, developing dashboards and generating insights that directly impact efficiency, cost-effectiveness, and the timely delivery of life-saving medications.
Principle Responsibilities
Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization.
Brief Team/department Description
We are seeking a motivated and detail-oriented Data Analyst to join our dynamic Supply Chain team. This is an exciting opportunity to contribute to critical decision-making by leveraging data to optimize our supply chain. You will be involved in building data processing models, developing dashboards and generating insights that directly impact efficiency, cost-effectiveness, and the timely delivery of life-saving medications.
Principle Responsibilities
- Assist in the collection, cleaning, and preparation of datasets from various sources relevant to supply chain operations (e.g., demand forecasts, inventory levels, master data).
- Develop and maintain data processing methods using appropriate tools and technologies (advanced excel, PowerBi, DAX language) to ensure data quality and accessibility.
- Create and maintain dashboards and visualizations using Power BI and Microsoft Tools (Microsoft Lists, Power Automate, etc).
- Collaborate with the Supply Chain team to understand business needs and translate them into analytical requirements.
- Support ad-hoc data analysis requests and contribute to the generation of reports to support decision-making.
- Drive continuous improvement of business processes, related reports, and metrics.
- Support the team in leading edge thinking to identify future opportunities in Systems, Tools and Processes.
- Bachelor’s degree in data science, Statistics, Supply Chain Management, Computer Science, Engineering or a related discipline.
- Proficiency in DAX programming language and use of Microsoft Suite (Lists, Power Automate, Flows & Forms).
- Strong analytical and problem-solving skills with the ability to interpret complex data.
- Strong attention to detail and a commitment to data accuracy.
- Basic understanding of Supply Chain in the Pharmaceutical industry and inventory management
- Familiarity with forecasting techniques and inventory optimization concepts is a strong advantage.
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