📍 Job Overview

Job Title: SAP Analytics Cloud Analyst
Company: AstraZeneca
Location: Chennai, Tamil Nādu, India
Job Type: Full-Time, Hybrid (3 days on-site)
Category: Data & Analytics
Date Posted: June 13, 2025

🚀 Role Summary

Key Responsibilities: Translate business process requirements into SAP Analytics solutions, create ETL data pipelines, validate data quality, and develop analytics and dashboards for reporting and KPI tracking.
Key Skills: SAP Analytics Cloud, Datasphere, ETL, Data Warehousing, Data Quality, Data Cleansing, Data Modelling, Analytics, Dashboards, Low-Code Development, Communication Skills, Agile Environment, Self-Motivated, Business English, Finance Processes, Operations Processes.

📝 Enhancement Note: This role requires a strong background in SAP Analytics Cloud and related technologies, with a focus on data analysis, modeling, and visualization. Candidates should be comfortable working in an Agile environment and have excellent communication skills to collaborate effectively with stakeholders.

💻 Primary Responsibilities

Collaborate with stakeholders to understand business process requirements and translate them into SAP Analytics solutions (SAC & Datasphere).
Create Extract, Transform, and Load (ETL) data pipelines, data warehousing, and perform testing.
Validate and assure data quality and accuracy through data cleansing, enrichment, and building data models.
Develop comprehensive analytics and dashboards for business stakeholders for reporting, business planning, and KPI tracking purposes.
Enhance solution experiences and visualizations using low/no-code development.

📝 Enhancement Note: The primary focus of this role is to deliver impactful analytics solutions that drive business value. Candidates should have a strong background in data analysis and be able to work independently or in a team to deliver high-quality results.

🎓 Skills & Qualifications

Education: A degree in Computer Science, Business Informatics, or a comparable degree.

Experience: Overall 5-7 years of experience, with at least 2 years working on SAP SAC / Datasphere solutions as a Data Analyst and/or Data Engineer.

Required Skills:

Experience in SAP Datasphere, ETL, building data pipelines, preparing and integrating data, data modelling, understanding of relational data modelling and denormalization techniques.
Experience in SAP Analytics Cloud in creating advanced analytics/dashboards i.e. stories, boardrooms, planning. Knowledge of analytics standard processes.
Understanding of SAP related Finance and/or Operations processes.
Superb communication skills and ability to work in an Agile environment.
Energetic, organized, and self-motivated.
Fluent in business English.

Preferred Skills: Certification in one or more of the following: SAC Data Analyst, Data Engineer, Low-Code/No-Code Developer.

📝 Enhancement Note: While not explicitly stated, having experience with data visualization tools like Power BI or Tableau, as well as knowledge of SQL and Python, would be beneficial for this role. Additionally, experience working in the pharmaceutical industry or with healthcare data would be a plus.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

SAP Analytics Cloud Projects: Include examples of your work in creating advanced analytics and dashboards using SAC. Highlight your ability to translate complex data into user-friendly visualizations.
Data Modeling & ETL Projects: Showcase your experience in data modeling, ETL processes, and data pipeline creation. Include any relevant case studies demonstrating your ability to improve data quality and accuracy.
Stakeholder Communication: Provide examples of how you've effectively communicated complex analytics findings to non-technical stakeholders. This could be through presentations, reports, or other forms of visual storytelling.

Technical Documentation:

Data Dictionary: Document the data sources, transformations, and models used in your projects to ensure transparency and reproducibility.
Data Validation & Testing: Include details on how you've validated and tested your data pipelines and analytics solutions to ensure accuracy and reliability.
Project Documentation: Provide a clear and concise overview of each project, including objectives, methodology, challenges, and outcomes.

📝 Enhancement Note: While a portfolio is not explicitly mentioned in the job listing, including relevant examples of your work in SAP Analytics Cloud and related technologies will help demonstrate your qualifications for this role.

💵 Compensation & Benefits

Salary Range: INR 15-20 lakhs per annum (Estimated based on industry standards for a mid-level data analyst role in Chennai)

Benefits:

Competitive salary and benefits package
Flexible hybrid work arrangement (3 days on-site)
Opportunity to work on impactful projects in the healthcare industry
Collaborative and inclusive work environment

Working Hours: Full-time (40 hours/week), with flexible working hours and remote work options available.

📝 Enhancement Note: The salary range provided is an estimate based on market research for similar roles in the Chennai area. AstraZeneca offers a competitive benefits package, including health insurance, retirement plans, and employee discounts.

🎯 Team & Company Context

🏢 Company Culture

Industry: Pharmaceuticals and Biotechnology

Company Size: Large (approx. 70,000 employees worldwide)

Founded: 2000 (as a result of a merger between Astra AB and Zeneca Group plc)

Team Structure:

The Global Business Services (GBS) team is responsible for providing shared services and support functions to AstraZeneca's global operations.
The Process Insights team within GBS focuses on transforming business processes through automation, analytics, and AI.
The team consists of data analysts, data engineers, and business analysts who collaborate to deliver impactful solutions across the organization.

Development Methodology:

Agile methodologies are used to manage projects and deliverables.
The team follows a structured approach to data analysis, modeling, and visualization, ensuring consistency and quality in their work.
Collaboration and knowledge sharing are encouraged, with regular team meetings and training opportunities provided.

Company Website: AstraZeneca

📝 Enhancement Note: AstraZeneca is a global biopharmaceutical company focused on discovering, developing, and commercializing prescription medicines for some of the world's most serious diseases. The company's mission is to push the boundaries of science to deliver life-changing medicines. The GBS team plays a crucial role in supporting this mission by providing efficient and effective shared services.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-level Data Analyst

Reporting Structure: The SAP Analytics Cloud Analyst will report directly to the Process Insights Team Lead within the Global Business Services team.

Technical Impact: This role will have a direct impact on AstraZeneca's business processes and decision-making by providing accurate and insightful analytics and visualizations. The work will support various departments, including Finance, Operations, and Commercial, enabling them to make data-driven decisions and improve overall performance.

Growth Opportunities:

Technical Growth: As the team continues to expand its capabilities in SAP Analytics Cloud and related technologies, there will be opportunities to specialize in specific areas, such as advanced analytics, machine learning, or data engineering.
Leadership Growth: With experience and strong performance, there may be opportunities to take on team lead or management roles, overseeing the work of other data analysts and driving the team's strategy and development.
Cross-functional Collaboration: Working with various departments and teams across the organization will provide opportunities to gain exposure to different aspects of the business and develop a broad understanding of AstraZeneca's operations.

📝 Enhancement Note: AstraZeneca offers a structured career development program, providing employees with the opportunity to grow both technically and professionally. The company encourages internal mobility and supports employees in pursuing new challenges and roles within the organization.

🌐 Work Environment

Office Type: Modern, collaborative office space with state-of-the-art technology and amenities.

Office Location(s): Chennai, Tamil Nādu, India

Workspace Context:

Collaborative Environment: The office features open-plan workspaces, encouraging collaboration and communication among team members.
Technology & Tools: AstraZeneca provides employees with access to the latest hardware and software, including SAP Analytics Cloud, SAP Datasphere, and other relevant tools.
Work-life Balance: The hybrid work arrangement (3 days on-site) allows for a better work-life balance, with the flexibility to work from home or other remote locations as needed.

Work Schedule: Full-time (40 hours/week), with flexible working hours and remote work options available.

📝 Enhancement Note: AstraZeneca's Chennai office is located in the heart of the city's IT corridor, providing easy access to public transportation and amenities. The company offers a comfortable and engaging work environment, with a focus on employee well-being and work-life balance.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: Applicants will be required to complete an online assessment to evaluate their technical skills and problem-solving abilities.
Phone/Video Screen: A brief phone or video call to discuss the role, the team, and the company, as well as to assess communication skills and cultural fit.
On-site Interview: A face-to-face interview with the hiring manager and other team members to discuss the candidate's experience, skills, and career goals. This may include a case study or technical challenge to assess the candidate's analytical and problem-solving skills.
Final Decision: The hiring manager will make a final decision based on the candidate's skills, experience, and cultural fit.

Portfolio Review Tips:

Highlight Relevant Projects: Focus on projects that demonstrate your experience with SAP Analytics Cloud, data modeling, ETL processes, and stakeholder communication.
Tell a Story: Use your portfolio to tell a story about your analytical approach, the challenges you've faced, and the impact you've made on your previous employers.
Showcase Your Creativity: While technical skills are essential, don't forget to show off your creative side. Include examples of how you've used data visualization to tell compelling stories and drive insights.

Technical Challenge Preparation:

Brush Up on Your SAP Analytics Cloud Skills: Familiarize yourself with the latest features and functionalities of SAP Analytics Cloud, as well as best practices for data modeling, visualization, and storytelling.
Practice Case Studies: Work through case studies that mimic real-world scenarios, focusing on data analysis, modeling, and visualization. This will help you develop your problem-solving skills and prepare for the technical challenge.
Prepare for Behavioral Questions: Be ready to discuss your approach to data analysis, stakeholder communication, and problem-solving. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide concrete examples of your experiences.

ATS Keywords: SAP Analytics Cloud, Datasphere, ETL, Data Warehousing, Data Quality, Data Cleansing, Data Modelling, Analytics, Dashboards, Low-Code Development, Communication Skills, Agile Environment, Self-Motivated, Business English, Finance Processes, Operations Processes, Python, SQL, Power BI, Tableau, Data Visualization, Healthcare Data, Pharmaceutical Industry.

📝 Enhancement Note: AstraZeneca uses an Applicant Tracking System (ATS) to manage job applications. Including relevant keywords in your resume and cover letter will help ensure that your application is not overlooked by the system. Tailor your application materials to the specific requirements and responsibilities of the role, highlighting your relevant skills and experiences.

🛠 Technology Stack & Web Infrastructure

Data & Analytics Tools:

SAP Analytics Cloud: The primary tool used for data analysis, modeling, and visualization.
SAP Datasphere: Used for data integration, preparation, and blending to create a single source of truth for analytics.
ETL Tools: Experience with ETL tools such as SAP Data Integration, Talend, or Informatica is preferred.
Data Warehousing: Familiarity with data warehousing concepts and best practices is essential.
Data Quality Tools: Experience with data quality tools such as Talend, Informatica, or SAP Data Quality Management is preferred.

Programming & Scripting Languages:

Python: Familiarity with Python is beneficial for data analysis, modeling, and automation tasks.
SQL: Proficiency in SQL is required for querying and manipulating data in databases.

Database Management Systems:

SAP HANA: Experience with SAP HANA, the in-memory, column-oriented, relational database management system, is preferred.
Other Databases: Familiarity with other database management systems, such as Oracle, Microsoft SQL Server, or MySQL, is beneficial.

📝 Enhancement Note: While the job listing does not explicitly mention specific technologies or tools, having experience with the listed technologies and tools will be beneficial for this role. Familiarity with other data analysis, visualization, and modeling tools, such as Power BI or Tableau, would also be an asset.

👥 Team Culture & Values

Web Development Values:

Data-Driven Decision Making: AstraZeneca values data-driven decision making and uses analytics to inform business strategy and improve overall performance.
Collaboration: The company fosters a culture of collaboration, with teams working together to deliver innovative solutions and drive business value.
Continuous Learning: AstraZeneca encourages employees to stay up-to-date with the latest trends and best practices in data analysis, modeling, and visualization.
Customer Focus: The company is committed to delivering exceptional customer value through its products and services.

Collaboration Style:

Cross-functional Collaboration: The Process Insights team works closely with various departments, including Finance, Operations, and Commercial, to deliver impactful analytics solutions that drive business value.
Knowledge Sharing: AstraZeneca encourages employees to share their knowledge and expertise with one another, fostering a culture of continuous learning and development.
Agile Methodologies: The team uses Agile methodologies to manage projects and deliverables, promoting flexibility, adaptability, and continuous improvement.

📝 Enhancement Note: AstraZeneca's culture is built on a foundation of innovation, collaboration, and customer focus. The company values employees who are passionate about data, committed to continuous learning, and dedicated to driving business value through analytics and insights.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scaling Analytics Solutions: As the team continues to grow and take on more complex projects, there will be opportunities to scale analytics solutions to support larger datasets and more users.
Advanced Analytics: With experience and expertise, there may be opportunities to explore advanced analytics techniques, such as machine learning, predictive modeling, or natural language processing.
Data Governance: As the team's influence grows, there will be an increased focus on data governance, ensuring data quality, accuracy, and security.
Stakeholder Management: Working with various departments and teams across the organization will present opportunities to develop strong stakeholder management skills, balancing the needs and priorities of different groups.

Learning & Development Opportunities:

Training & Development: AstraZeneca offers a range of training and development opportunities, including online courses, workshops, and conferences, to help employees grow both technically and professionally.
Mentorship: The company encourages mentorship relationships, pairing employees with more experienced colleagues to provide guidance, support, and knowledge sharing.
Career Progression: With experience and strong performance, there may be opportunities to take on more senior roles, such as team lead or manager, or to specialize in specific areas, such as advanced analytics or data engineering.

📝 Enhancement Note: AstraZeneca's culture of continuous learning and development provides employees with numerous opportunities to grow both technically and professionally. The company encourages employees to take ownership of their career development and to seek out new challenges and learning experiences.

💡 Interview Preparation

Technical Questions:

SAP Analytics Cloud: Be prepared to discuss your experience with SAP Analytics Cloud, including data modeling, visualization, and storytelling techniques. You may be asked to walk through a case study or to complete a technical challenge using the tool.
Data Analysis & Modeling: Brush up on your data analysis and modeling skills, and be prepared to discuss your approach to data transformation, cleansing, and enrichment. You may be asked to explain your choice of data modeling techniques or to discuss the trade-offs between different approaches.
Stakeholder Communication: Prepare for questions about your experience working with stakeholders, and be ready to discuss your approach to communicating complex analytics findings to non-technical audiences. You may be asked to provide examples of how you've used data visualization to tell compelling stories and drive insights.

Company & Culture Questions:

AstraZeneca's Mission & Values: Familiarize yourself with AstraZeneca's mission and values, and be prepared to discuss how your personal values align with the company's. You may be asked to provide examples of how you've demonstrated AstraZeneca's values in your previous roles.
Data-Driven Decision Making: AstraZeneca places a strong emphasis on data-driven decision making. Be prepared to discuss your experience with data-driven decision making and to provide examples of how you've used data to inform business strategy and improve overall performance.
Collaboration & Teamwork: AstraZeneca values collaboration and teamwork. Be prepared to discuss your experience working in a collaborative environment and to provide examples of how you've worked effectively with others to deliver impactful solutions.

Portfolio Presentation Strategy:

Storytelling: Use your portfolio to tell a story about your analytical approach, the challenges you've faced, and the impact you've made on your previous employers. Highlight your ability to translate complex data into user-friendly visualizations and to communicate insights effectively to stakeholders.
Case Studies: Include case studies that demonstrate your experience with SAP Analytics Cloud, data modeling, ETL processes, and stakeholder communication. Use these case studies to illustrate your problem-solving skills and your ability to deliver impactful analytics solutions.
Data Visualization: Showcase your ability to create engaging and informative data visualizations using SAP Analytics Cloud. Include examples of how you've used data visualization to tell compelling stories and drive insights.

📝 Enhancement Note: AstraZeneca's interview process is designed to assess the candidate's technical skills, cultural fit, and alignment with the company's mission and values. By preparing thoroughly and demonstrating your passion for data, analytics, and driving business value, you'll increase your chances of success in the interview process.

📌 Application Steps

To apply for this SAP Analytics Cloud Analyst position:

Customize Your Resume: Tailor your resume to the specific requirements and responsibilities of the role, highlighting your relevant skills and experiences. Include relevant keywords, such as those listed in the ATS Keywords section, to help ensure that your application is not overlooked by the system.
Prepare Your Portfolio: Include examples of your work in SAP Analytics Cloud, data modeling, ETL processes, and stakeholder communication. Use your portfolio to tell a story about your analytical approach, the challenges you've faced, and the impact you've made on your previous employers.
Research AstraZeneca: Familiarize yourself with AstraZeneca's mission, values, and culture. Understand the company's focus on data-driven decision making, collaboration, and continuous learning and development. Prepare for interview questions about the company and its culture.
Practice Technical Challenges: Brush up on your SAP Analytics Cloud, data analysis, and modeling skills, and prepare for technical interview questions and challenges. Use the tips and strategies outlined in the Interview Preparation section to help you succeed.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

SAP Analytics Cloud Analyst