AstraZeneca is hiring for Associate – Data Analyst | Apply Now!





 

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AstraZeneca

Associate – Data Analyst

 
Bengaluru, Karnataka, India (Manyata Tech Park, Bangalore)
Full-time, Hybrid (3 days on-site, 2 days remote)

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About the Company

AstraZeneca is actively seeking a highly skilled and motivated Associate Data Analyst to join its innovative and dynamic team in Bengaluru. At AstraZeneca, we firmly believe that bringing together diverse and unexpected teams fosters bold thinking, which is essential for discovering and delivering life-changing medicines. Our commitment to in-person collaboration provides a vital platform for deep connection, rapid progress, and the courageous challenge of existing perceptions. This philosophy underpinning our hybrid work model, where we typically work a minimum of three days per week from the office. While maintaining this expectation, we also value and respect individual flexibility, striving to create a balanced environment. We invite you to become a part of our truly unique and ambitious world, where innovation thrives. AstraZeneca prides itself on cultivating an inclusive environment where individuals from diverse cultural backgrounds and with varied perspectives converge, fostering a profound sense of belonging. Joining our team means unlocking unparalleled opportunities for continuous learning and professional growth, working alongside colleagues dedicated to process transformation through simplification and advanced automation. Our innovative strategy places data at the absolute core of every initiative. As an integral part of our ongoing journey of growth and evolution, your contributions will directly enhance AstraZeneca’s agility and efficiency, ultimately making a significant and positive impact on global society. AstraZeneca is deeply committed to embracing diversity and championing equality of opportunity across all facets of our organization. We are dedicated to constructing an inclusive and profoundly diverse team, drawing from individuals of all backgrounds and perspectives, thereby harnessing an extensive range of industry-leading skills. Our conviction is that a more inclusive workforce directly translates into superior work and more impactful outcomes. We warmly welcome and thoroughly consider applications from all qualified candidates, irrespective of their individual characteristics. Furthermore, AstraZeneca rigorously adheres to all applicable laws and regulations concerning non-discrimination in employment and recruitment practices, alongside all work authorization and employment eligibility verification requirements.

Job Description

As an Associate Data Analyst, you will be positioned at the forefront of driving operational excellence and enhancing technical proficiency within the US BioPharmaceuticals Business Unit (BBU) data management landscape. This crucial role requires a proactive individual capable of facilitating seamless communication and efficiently resolving complex data-related challenges. A core responsibility will involve meticulously translating intricate business requirements into practical, robust data solutions designed to significantly enhance decision-making processes and optimize overall operational efficiencies across the US BBU. Leveraging your profound expertise in data management, you will be instrumental in guiding the full lifecycle of innovative data product development and deployment. This includes utilizing advanced analytical capabilities to generate deep, insightful analyses that directly inform and influence critical business strategies. By cultivating a highly collaborative environment, you will partner closely with diverse cross-functional teams. The aim is to champion user-centric design principles and agile methodologies, thereby ensuring that all data products are not only relevant but also consistently meet the dynamic and evolving needs of the business. A continuous, proactive engagement with emerging industry trends and best practices will be vital for keeping the organization at the cutting edge of data innovation. Ultimately, your adeptness at interpreting vast and complex datasets, coupled with the ability to articulate clear, actionable insights, will solidify your position as an invaluable strategic partner in driving significant business transformation initiatives. By integrating a strategic mindset into daily operations and actively fostering strong stakeholder engagement, you will ensure that developed data products consistently surpass user expectations, delivering maximum value and enduring impact.

Company NameAstraZeneca
RoleAssociate – Data Analyst
LocationBengaluru, Karnataka, India (Manyata Tech Park, Bangalore)
Salary 
Job TypeFull-time, Hybrid (3 days on-site, 2 days remote)




Responsibilities

  • Delivering essential operational and technical support across all US BBU data management activities. This encompasses ensuring robust data quality management, optimizing critical business process workflows, and addressing the data management requirements for a variety of downstream applications and tools.
  • Providing expert operational troubleshooting and efficient triaging for issues related to data processing, addressing business user queries promptly, conducting thorough data investigations, and performing ad-hoc analytics as needed to resolve challenges and inform decisions.
  • Executing rigorous data validation and reconciliation procedures, alongside conducting foundational ad-hoc analyses to provide timely and accurate support to various business teams.
  • Serving as a critical liaison and communication bridge between Commercial and Medical stakeholders and the IT department, facilitating seamless escalations and effective resolution of technical and data-related issues.
  • Contributing to the administration of data platforms, including assisting with the management of user access, defining and updating user roles, and implementing necessary updates across key systems such as Sharp.

Qualifications

  • Education: A Bachelor’s degree from an accredited college or university in a quantitative field is mandatory. Acceptable disciplines include Engineering, Operations Research, Management Science, Economics, Statistics, Applied Mathematics, Computer Science, Data Science, or a closely related quantitative field.
  • Data Acumen: A robust and comprehensive understanding of data governance principles, adherence to privacy standards, and the application of operational best practices within data management.
  • Communication & Influence: Exceptional communication skills, both written and verbal, coupled with a demonstrated ability to effectively influence stakeholders and present complex information clearly and persuasively.
  • Professional Experience: 3 to 6 years of relevant professional experience in a business support or dedicated operational data management environment is required.
  • Product Definition: Proven capability to meticulously define and document detailed user stories, acceptance criteria, and non-functional requirements to ensure the successful development and implementation of data products.
  • User-Centric Design: A strong advocacy for a user-centric design approach, ensuring that all data products developed are intuitive, highly accessible, and precisely tailored to meet the specific needs of their target users.
  • Agile Collaboration: Demonstrated ability to collaborate seamlessly with development teams, actively participating in the planning and execution of agile sprints to ensure the timely delivery of high-quality features and functionalities.
  • Analytical Presentation: Skill in presenting concise, compelling, and insightful reviews of independently developed analyses, clearly articulating business implications and recommending actionable strategies for consideration.
  • Strategic Engagement: Possess strategic and critical thinking abilities, combined with the capacity to effectively engage with, build rapport, and maintain strong credibility with the Commercial Leadership Team.
  • Domain Exposure: Significant exposure to and understanding of at least seven of the following specific pharmaceutical business concepts and data types: ELAAD, APLD, HCP Segmentation, Targeting (including Call plan development), Alignment strategies, Sales Force Operations (SFO) Structuring & Sizing, HCP Campaign – Digital Promotion & Measurement, Xponant data (specifically sales data – Rx data), HCP Specialty Management Data (DDD MD), Call Activity, and Fingertip/Formulary (Plan PBM lives data).
  • Highly Desirable Attribute: Familiarity with AstraZeneca’s core brands and scientific endeavors, demonstrating an understanding of the broader pharmaceutical industry context.
  • Highly Desirable Attribute: Prior experience collaborating effectively with multiple third-party providers, including external information technology partners.
  • Highly Desirable Attribute: An advanced capacity for strategic and critical thinking, further enhancing the ability to build and sustain strong, credible relationships with the Commercial Leadership Team.
  • Highly Desirable Attribute: A comprehensive understanding of the commercial and medical business functions specific to the US BioPharmaceuticals Business Unit (BBU).
  • Highly Desirable Attribute: Direct experience with Sharp (AstraZeneca’s internal platform) administration, or extensive experience in Power Apps development or troubleshooting beyond the essential requirements.

Skills

Power BI (PBI)
PowerApps (development and troubleshooting)
SQL
Python
Databricks
AWS S3 operations
Data governance principles
Privacy standards (data management)
Operational best practices (data management)
ELAAD
APLD
HCP Segmentation
Targeting (including Call plan development)
Alignment strategies
Sales Force Operations (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)
Sharp administration

ATS Keywords

Data Analyst
Associate Data Analyst
Data Management
Business Intelligence
SQL
Python
Power BI
PowerApps
Databricks
AWS S3
Pharmaceutical
BioPharmaceuticals
US BBU
Data Governance
Privacy Standards
Operational Best Practices
User Stories
Acceptance Criteria
Agile Methodologies
Strategic Thinking
Critical Thinking
Stakeholder Engagement
Commercial Leadership
Medical Stakeholders
IT Liaison
Data Validation
Data Reconciliation
Ad-hoc Analytics
Troubleshooting
Triaging
User-Centric Design
Bengaluru
Karnataka
India
Hybrid
Full-time
Bachelor’s Degree
Quantitative Field
Engineering
Operations Research
Management Science
Economics
Statistics
Applied Mathematics
Computer Science
Data Science
3-6 years experience
ELAAD
APLD
HCP Segmentation
Targeting
Call Plan Development
Alignment Strategies
Sales Force Operations
SFO Structuring & Sizing
HCP Campaign
Digital Promotion
Xponant data
Sales data
Rx data
HCP Specialty Management Data
DDD MD
Call Activity
Fingertip
Formulary
Plan PBM lives data
Sharp administration

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Frequently Asked Questions

What is the work model for this Associate Data Analyst role?

This is a full-time hybrid role. You will be required to work a minimum of three days per week from the Bengaluru office, with the flexibility to work remotely for the remaining two days.

What are the essential technical skills required for this position?

Candidates must have proficiency in Power BI (PBI), PowerApps (development and troubleshooting), SQL, Python, Databricks, and AWS S3 operations. Familiarity with Sharp administration is also highly desirable.

What kind of pharmaceutical domain experience is necessary for this role?

You should have a significant understanding of at least seven specific pharmaceutical business concepts and data types, including ELAAD, APLD, HCP Segmentation, Targeting, Sales Force Operations (SFO), Xponant data (sales/Rx data), and Fingertip/Formulary (Plan PBM lives data). Familiarity with AstraZeneca’s brands and the US BioPharmaceuticals Business Unit (BBU) functions is also highly valued.

What are the typical working hours for this position in Bengaluru?

Standard working hours are either 9:00 AM to 6:00 PM IST or 2:00 PM to 11:00 PM IST, depending on specific business requirements and operational needs.

What educational background is required for this Associate Data Analyst role?

A Bachelor’s degree from an accredited college or university in a quantitative field is mandatory. Acceptable disciplines include Engineering, Operations Research, Management Science, Economics, Statistics, Applied Mathematics, Computer Science, or Data Science.

Other Information

Job ID: R-240909
Career Level: C2
Work Hours: Standard working hours are either 9:00 AM to 6:00 PM IST or 2:00 PM to 11:00 PM IST, depending on specific business requirements and operational needs.
Transport facilities are provided in accordance with company policy.
Date Posted: 2025-12-07
Initial Posting Date: 2025-12-08
Application Closing Date: 2025-12-11

Tags

Data Analyst
Pharmaceutical
BioPharmaceuticals
Hybrid Work
Bengaluru
Data Management
Business Intelligence
Analytics




How to Apply

  1. Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
  2. Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
  3. Fill Out the Application: On the official website, fill out the application form with the provided information.
  4. Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
  5. Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.







From vthetechee.com on 2025-12-09 11:19:31




 

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