Associate - Data Analyst

Associate - Data Analyst

Job Title: Associate - Data Analyst

Career Level: C2

Introduction to role

Are you ready to turn sophisticated data into clear decisions that accelerate impact for patients and the business? Based in Bangalore, you will drive the operational backbone and technical execution of data management for our US organization—converting real customer needs into dependable data products, efficient workflows, and timely insights that leaders act on.

You will join a high-performing, digitally savvy team working across AWS, Databricks, and PySpark to raise data quality, streamline processes, and resolve issues at speed. From day one, you will partner closely with Commercial, Medical, and Technology teams—shaping requirements, advocating user-centric design, and delivering in agile sprints.

Do you thrive on fixing root causes, not just symptoms, and redefining validation and reconciliation into recommendations that move the business?

3. Accountabilities

• Data Operations Excellence: Provide operational and technical support for US data management across data quality, business process workflows, and downstream applications and tools, ensuring stable, trusted data flows.
• Incident Triage and Resolution: Troubleshoot data processing issues, handle business user queries, and conduct investigations to reduce time-to-resolution and prevent recurrence.
• Data Validation and Insight Generation: Perform validation, reconciliation, and ad-hoc analyses; translate findings into clear actions and implications for business teams.
• Customer Liaison: Act as the bridge between Commercial/Medical collaborators and IT for customer concerns and issue resolution, ensuring transparency and timely outcomes.
• Access and Platform Administration: Lead access, user roles, and updates across platforms like Sharp, upholding governance, privacy, and auditability.
• Requirements and User-Centric Design: Define detailed user stories, acceptance criteria, and non-functional requirements; champion intuitive, accessible data products that meet user needs.
• Engineering Standards and Agile Delivery: Champion best in class practices, coding standards, and agile methodologies to improve quality, speed, and reliability.
• Product Roadmap and Best Practices: Contribute to the development and deployment of data products; scan industry trends, embed best in class practices, and help the team stay ahead.

4. Essential Skills/Experience

• 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.
• Bridge business needs with technical solutions: Collaborate with partners to define and deliver requirements.
• Contribute to engineering standards: Champion best in class practices across the team.
• Understand cloud architecture: Maintain a broad understanding of cloud environments (preferably AWS)
• Demonstrate technical expertise: Apply strong experience in Databricks, PySpark, and the AWS suite of applications (e.g., S3, Redshift, Lambda, Glue, EMR)
• Code proficiently: Write high-quality code in programming languages such as Python
• Work in Agile: Apply proven experience in Agile development techniques and methodologies
• Apply core data concepts: Maintain a solid understanding of data modeling, ETL processes, and data warehousing concepts
• Understanding of data governance, privacy standards, and operational best in class practices.
• Excellent communication and influencing skills with demonstrated ability to develop and effectively
• Experience working in a business support or operational data management environment.
• Define and document detailed user stories, acceptance criteria, and non-functional requirements for the data products.
• Advocate for a user-centric design approach, ensuring that data products are intuitive, accessible, and meet the needs of the target users.
• Present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
• Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team

5. Desirable Skills/Experience

• Exposure & Understanding (any 7): ELAAD, APLD, HCP Segmentation, Targeting (Call plan), Alignment, SFO Structuring & Sizing, HCP Campaign - Digital Promotion & Measurement, Xponant data (sales data - Rx data), HCP Specialty Management Data, (DDD MD), Call Activity, Fingertip/Formulary (Plan PBM lives data)
• Knowledge of AZ brand and Science
• Experience of working with multiple 3rd party providers, including information technology partners
• Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team
• Understanding of US BBU commercial and medical business functions
• Experience with Sharp [Internal AZ platform] administration, Power Apps development or troubleshooting.

When we put unexpected teams in the same room, we ignite bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca:

Here, your analysis ignites real-world impact—helping our enterprise run faster and smarter so science reaches patients sooner. You will work in an agile, high-trust environment where unexpected teams come together in the same room to ignite bold thinking, supported by innovative technology and data. We value courtesy alongside ambition and give you ownership to turn ideas into outcomes—quickly, ethically, and openly. Surrounded by bright minds who challenge and support each other, you will build expertise, a reputation for delivery, and see the direct line from your work to significant change.

7. Call to Action:

If you are ready to lead the transition from raw data to significant improvements and scale process mining across a global enterprise, send us your CV and show how can you build the next wave of impact!

When we put unexpected teams in the same room, we ignite bold thinking with the power to

inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge

perceptions. That's why we work, on average, a minimum of three days per week from the office. But that

doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual

flexibility. Join us in our unique and ambitious world.

AstraZeneca offers the chance to work at speed on meaningful problems where analytics directly influences how science reaches patients worldwide. Here, high-performing people collaborate across subject areas, apply digital innovation to real business challenges, take smart risks, and see their ideas move quickly from concept to reality. Ethics, compliance and transparency sit at the heart of how decisions are made; trusted partners are empowered to do the right thing while building an exceptional reputation in a globally recognised organisation that invests in learning, stretch opportunities and long-term career growth.

Ready to lead bold initiatives that shape decisions across a science-led global enterprise? Apply now!

Date Posted

09-Jul-2026

Closing Date

11-Jul-2026

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Experience Level

Mid Level