AstraZeneca is hiring for an FRESHER entry level Associate Data Analyst role in India

Position:

• Associate - Data Analyst

Company:

• AstraZeneca

Location:

• Shāhāpur, Maharashtra, India

Job type:

• Full time

Job mode:

• Hybrid, minimum three days per week in office

Job requisition id:

• R-246357

Years of experience:

• 0 to 3 years

Company description:

• A global biopharmaceutical organization focused on discovering, developing, and delivering medicines that improve patient outcomes across the world

• Established presence in India for more than four decades, contributing to accessible and sustainable healthcare solutions

• Dedicated to research driven innovation across therapy areas such as oncology, cardiovascular, respiratory, and rare diseases

• Strong emphasis on science led decision making supported by digital transformation and modern analytics infrastructure

• Encourages collaboration across geographies, bringing together teams from research, commercial, technology, and operations

• Invests significantly in technology platforms, cloud ecosystems, and advanced analytics to support smarter and faster decisions

• Committed to ethical standards, compliance, and responsible corporate citizenship in every market it operates

• Actively promotes diversity, equity, and inclusion, ensuring representation from varied backgrounds and perspectives

• Creates an environment where curiosity, accountability, and continuous learning are encouraged

• Aligns business growth with long term sustainability goals for society and the planet

• Offers structured development programs, coaching, and cross functional exposure for early career professionals

• Supports employee wellbeing through initiatives focused on physical, financial, and psychological health

• Recognized for a strong workplace culture that values collaboration and mutual respect

• Encourages employees to contribute ideas that challenge conventional approaches and improve patient impact

• Operates with a clear mission to advance healthcare through science and technology

Profile overview:

• Entry level analytics professional role designed for individuals passionate about data driven decision making

• Responsible for transforming complex datasets into actionable insights that influence strategic and operational choices

• Works closely with cross functional stakeholders to understand business needs and convert them into analytical solutions

• Contributes to predictive analytics initiatives, reporting automation, and data modeling efforts

• Engages in recurring analytics delivery while maintaining speed and quality standards

• Participates in building scalable analytical capabilities that can be reused across teams

• Supports the creation of consistent workflows to improve efficiency and reliability

• Helps integrate insights into commercial and operational planning processes

• Plays a part in strengthening customer facing model leadership through insight generation

• Collaborates with colleagues across functions to align outputs with shared organizational goals

• Engages in continuous experimentation to test new tools and quantitative methods

• Learns to quantify business impact and track measurable outcomes from analytical initiatives

• Builds dashboards, reports, and presentations tailored to varied audiences

• Develops familiarity with pharmaceutical or healthcare datasets and their commercial applications

• Operates in a fast paced environment where agility and adaptability are essential

• Gains exposure to enterprise level data platforms and modern analytics practices

Qualifications:

• Bachelor degree or equivalent in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related discipline

• Foundational knowledge of SQL for querying and managing structured datasets

• Working knowledge of Python or R for data analysis and modeling tasks

• Understanding of statistical techniques such as regression, hypothesis testing, and experiment design

• Familiarity with data visualization tools such as Power BI or Tableau

• Ability to design dashboards that communicate insights clearly and effectively

• Exposure to basic machine learning concepts including classification and clustering

• Awareness of cloud platforms such as Azure and associated data engineering practices

• Strong analytical thinking and structured problem solving ability

• Capability to gather requirements from stakeholders and translate them into data tasks

• Clear written and verbal communication skills for presenting findings

• Attention to detail when validating data accuracy and integrity

• Ability to manage turnaround times aligned with defined service level expectations

• Openness to feedback and willingness to refine analytical outputs iteratively

• Curiosity to explore emerging analytical technologies and assess their business relevance

• Team oriented mindset with readiness to collaborate across departments

Responsibilities:

• Translate local and customer level insights into practical guidance that supports strategic planning

• Prepare and deliver recurring analytics reports for stakeholders with accuracy and consistency

• Ensure adherence to agreed service levels while maintaining high standards of data quality

• Develop and maintain automated workflows that improve reporting efficiency

• Explore and test new quantitative techniques that strengthen analytical rigor

• Assist in rolling out analytics capabilities across teams to enable scalability

• Foster a mindset of measurement and continuous enhancement within the analytics function

• Integrate datasets from multiple internal and external platforms to build reliable analytical assets

• Monitor evolving trends in analytics across industries and evaluate relevance for application

• Create dashboards, written summaries, and presentation materials to communicate insights effectively

• Recommend actionable steps based on analysis and track their measurable outcomes

• Support customer facing decision models through accurate and timely data inputs

• Collaborate with technology and business teams to align outputs with enterprise objectives

• Contribute to building reusable data pipelines and structured reporting frameworks

• Participate in cross functional meetings to understand business challenges and propose data driven solutions

• Maintain documentation of methodologies, assumptions, and data sources used in analyses

• Uphold compliance, confidentiality, and ethical handling of sensitive healthcare data

Additional info:

• Hybrid working model requiring presence in office for collaboration and team engagement

• Flexible approach that balances organizational expectations with individual needs

• Encourages experimentation and rapid testing of ideas within analytics projects

• Exposure to global teams and diverse perspectives within a multinational organization

• Opportunity to contribute to healthcare solutions that impact patient lives

• Access to learning platforms, mentoring programs, and leadership development initiatives

• Performance based rewards aligned with contribution and growth

• Inclusive hiring practices that welcome applicants from varied backgrounds

• Equal opportunity employer adhering to applicable employment regulations

• Strong culture of knowledge sharing and peer coaching

• Emphasis on autonomy, allowing professionals to take ownership of their work

• Support for wellbeing through dedicated programs and employee assistance resources

• Recognition programs that celebrate innovation and collaboration

• Structured onboarding to help new joiners integrate smoothly into teams

• Encouragement to build long term career pathways within analytics and beyond

• Participation in a digitally enabled enterprise focused on modernization and efficiency

Please click here to apply.