AstraZeneca Data Analyst Job Openings 2026 :-
AstraZeneca is hiring candidates for the role of Associate – Data Analyst for the Across India location. The complete details about AstraZeneca Data Analyst Job Openings 2026 are as follows.
| Company Name:- | AstraZeneca |
| Required Education: | Graduation |
| Required Skills: | Proficiency with SQL, Python or R, and experience building reproducible analytics pipelines Hands-on experience with BI and visualization tools (e.g., Power BI, Tableau) and dashboard design principles Familiarity with statistical modeling, experimentation design, and basic machine learning techniques |
| Job Category | R-246357 |
Qualifications
Essential Skills/Experience:
- The candidate will also be required to 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.
- Can support the development and deployment of such capabilities across the organization.
- Instills a culture of continuous improvement, testing, and deployment of new capabilities for the business.
- Develop innovative analytical practices to create and sustain competitive advantage.
- Access appropriate information via a variety of tools and sources
- Summarize and present findings through various communication channels.
- Capability in applying deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.)
- Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues.
- Monitors the external environment to stay up to date on leading analytic capabilities, both within and outside of pharma, which can be applied within the organization.
Desirable Skills/Experience:
- Proficiency with SQL, Python or R, and experience building reproducible analytics pipelines
- Hands-on experience with BI and visualization tools (e.g., Power BI, Tableau) and dashboard design principles
- Familiarity with statistical modeling, experimentation design, and basic machine learning techniques
- Experience working with cloud data platforms (e.g., Azure) and modern data engineering practices
- Knowledge of pharma or healthcare datasets and the ability to translate analysis into commercial or operational value
- Strong stakeholder engagement skills, including requirements gathering and prioritization in fast-paced environments
- Ability to quantify impact, define success metrics, and track outcomes for continuous improvement
Skills Required
Accountabilities:
- Customer Insight Leadership: Translate local customer insights into clear guidance for strategy and resource allocation, ensuring analysis drives decisions.
- BAU Analytics Delivery: Own the preparation and delivery of recurring analytics reports, meeting stakeholder needs with reliability and precision.
- SLA and Turnaround: Maintain tight turnaround times and quality against agreed SLAs, continuously refining workflows to improve speed and consistency.
- Quantitative Methods Evaluation: Explore, test, and adopt new quantitative approaches and technologies that raise analytical standards and outcomes.
- Capability Deployment: Support the development and rollout of analytics capabilities across teams, enabling scalable, reusable solutions.
- Continuous Improvement: Instill a culture of experimentation, measurement, and iteration to elevate analytical practices and business performance.
- Cross-functional Integration: Understand how analytical work connects across functions, aligning outputs to shared goals and enterprise priorities.
- External Scanning: Monitor leading analytic advancements inside and outside pharma, assessing relevance and value for the organization.
- Data Access and Quality: Source, validate, and integrate data from multiple tools and platforms to build robust, decision-ready datasets.
- Communication and Storytelling: Summarize findings with clarity through written reports, dashboards, and presentations tailored to diverse audiences.
- Business Impact: Move beyond reporting to recommend actions, quantify value, and track results that create a competitive advantage.
AstraZeneca Data Analyst Job Openings 2026 Application Process:-
Apply In Below Link
Note:– Only shortlisted candidates will receive the call letter for further rounds
