Associate – Data Analyst Opportunity 2025 | AstraZeneca is hiring Associate – Data Analyst. The working location is Chennai, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Associate – Data Analyst Opportunity at AstraZeneca | Chennai – Overview
| Company Name: | AstraZeneca |
| Job Role: | Associate – Data Analyst |
| Location: | Chennai |
| Work Mode: | On-site |
| Last Date to Apply: | ASAP |
Job Description
- You will be responsible for providing analytical expertise to the Commercial Organization, driving strategic and operational excellence. This is a hands-on analytical role where you will act as a proactive internal consultant to a specific brand team. The Brand Analytics Associate will support and design commercial solutions, enabling data-driven decisions based on rigorous analysis and the best available information. A high level of proficiency in syndicated and custom, primary, and secondary data, for both predictive and prescriptive analytics is required.
Skills Required:
- Quantitative Bachelor’s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master’s, MBA or PhD).
- 1+ years of experience in application of methods and procedures on large and disparate datasets.
- 1+ years of recent experience with PySpark, Python, R, SQL.
- – Experience in MS Office products – Excel and PowerPoint skills required.
- Working knowledge on platforms like DataBricks.
- Working knowledge of data visualization – PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools.
- Expertise in managing and analyzing a range of large, transactional databases is required.
- Ability to derive, summarize and communicate insights from analyses.
- Organization and time management skills.
Responsibility:
- Continuously evaluate new quantitative analysis methods and technologies.
- Develop a deep understanding of internal customers’ data and analytical needs focusing on the customer-facing model leadership.
- Champion the use of local customer insight in strategic and resourcing decisions across the business.
- Support, maintain and deliver Analytics Reports in BAU to the respective collaborators.
- Maintain tight Turn Around Times and at most quality as per agreed SLA.
- Support the development and deployment of such capabilities across the organization.
- Instill a culture of continuous improvement, testing, and deployment of new capabilities for the business.
- Develop innovative analytical practices to create and sustain competitive advantage.
