Associate Data Scientist

Amgen Technology; Hyderabad; On-site; INR 500,000 - 900,000; Full time

Job summary

Amgen Technology is seeking a data analyst to join a dynamic team focused on improving product quality and patient outcomes. You will analyze data related to product performance and complaints, ensuring data integrity and meaningful insights for decision-making.

The role requires strong analytical abilities, communication skills, and experience with analytic tools and data visualization platforms. You will collaborate with cross-functional teams to implement quality improvements and support

Qualifications

• Bachelor's degree and 3–5 years of experience with analytic software tools (e.g., SAS, Data Bricks, Salesforce, SQL, Python).
• Experience with data visualization tools such as Tableau, Power BI, Spotfire, Bio Connect, or similar.

Responsibilities

• Collect, organize, and analyze data related to product performance and patient complaints.
• Ensure data integrity, accuracy, and accessibility for analysis.
• Apply statistical software and data visualization tools to interpret and present findings.
• Identify trends, patterns, and insights to advise decision-making.
• Prepare reports with actionable recommendations.
• Document data analysis activities and ensure regulatory compliance.
• Collaborate with cross-functional teams to improve quality based on data findings.
• Provide insights to support product complaint teams and enhance patient experience.
• Present findings and recommendations to management and partners.

Skills

Analytical skills

Data interpretation

Communication

Education

Bachelor's degree

Tools

SAS

Data Bricks

Salesforce

SQL

Python

S2 (Square Two)

Spotfire

Bio Connect

Tableau

Power BI

Smartsheet

Job description

Job Summary

In this vital role we are seeking a highly skilled and thorough Data Analyst to join our dynamic team. This role is pivotal in ensuring that our products meet the highest standards of quality and that patient complaints are thoroughly analyzed and addressed. The ideal candidate will possess a strong background in data analysis, excellent communication skills, and a passion for improving patient outcomes and product quality.

Responsibilities

• Collect, organize, and analyze data related to product performance (e.g., APRs) and patient complaints.
• Ensure data integrity, accuracy, and accessibility for further analysis.
• Apply statistical software and data visualization tools to interpret and present findings.
• Identify trends, patterns, and insights from large datasets to advise decision‑making processes.
• Prepare comprehensive reports summarizing analysis results, including actionable recommendations.
• Maintain accurate and up‑to‑date documentation of all data analysis activities.
• Ensure compliance with regulatory requirements and company policies in all documentation and reporting.
• Collaborate with cross‑functional teams to develop and implement quality improvement initiatives based on data analysis findings.
• Provide insights and support for product complaint teams to enhance product quality and patient experience.
• Present data analysis results and recommendations to management and other partners.
• Foster positive relationships with external and internal partners.
• Data Cleaning: Ensuring data integrity by identifying and rectifying errors, inconsistencies, and redundancies.
• Database Management: Storing and coordinating data in databases or data warehouses for easy access and analysis.
• Diagnostic Analysis: Investigating the root causes of specific issues, such as recurring product defects or common patient complaints.
• Visualization: Developing charts, graphs, and dashboards to present data in a more understandable and impactful manner.

Basic Qualifications

• Bachelor's degree and 3 to 5 years of experience with analytic software tools or languages (e.g., SAS, Data Bricks, Salesforce, SQL, Python) and experience with data visualization tools such as Square Two (S2), Spotfire, Bio Connect, Tableau, Power BI, Smartsheet, or similar.

Preferred Qualifications

• Strong analytical and problem‑solving skills with the ability to interpret sophisticated data sets.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a fast‑paced environment.
• Attention to detail and a dedication to quality and accuracy.
• Knowledge of regulatory requirements and quality management systems (e.g., ISO 13485, FDA regulations) is a plus.
• Proactive and self‑motivated with a strong sense of responsibility.
• Adaptable and able to prioritize optimally.
• Patient‑centric mindset with a dedication to improving healthcare outcomes.