Role Title – Lead Consultant - SAP Enterprise Analytics Business Analyst
We are one purpose-led global organisation. The enablers and innovators, ensuring that we can fulfil our mission to push the boundaries of science and discover and develop life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a massive difference to the outside world.
AstraZeneca (AZ) is in a period of strong growth and our employees have a united purpose to make a difference to patients around the world who need both our medicines and the ongoing developments from our science. In this journey AZ must continue to work across borders and with partners and new colleagues in a fast and seamless way. The ambition, size and complexity of the organisation, coupled with the opportunities afforded by new technology, has led the Board to approve a large-scale transformation programme – Axial.
The Axial Programme will be powered by S/4HANA a new ERP (Enterprise Resource Planning) system which will be implemented right across the organisation and will provide our business with standardised processes, enhanced financial management, common data and real time reporting, transforming the way we work through our entire supply chain - from bench to patient.
The new system will be used by more than 20,000 employees daily, is foundational to all AZ entities and is central to most core business processes. This is a once in a generation programme for AstraZeneca and will shape our ways of working globally for many years to come.
The Axial programme needs the best talent to work in it. Whether it’s the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. We are aiming to deliver a world class change programme that leaves all employees with a fuller understanding of their role in the end-to-end nature of our global company! This programme will provide AZ with a competitive edge, to the benefit of our employees, customers and patients.
We are building out teams to face key finance and operations process areas. And, more importantly, we are establishing an enterprise team to build and operate the cross-cutting data products and dashboards. Data products like dimensions for business partner, material master, cost centre, profit centre, location and geography; or fact tables for sophisticated multi-process reporting and exports to other data hubs.
This team will be a true agile delivery team. The team will work in a transparent and agile way, meaning there will be a published roadmap of analytics products and a constant flow of new work from across the Axial program and AZ.
You will be working with the engineering teams and product owners from across the SAP space to define the detailed requirements for enterprise analytics assets (both data and dashboards).
Lead end-to-end requirement lifecycle – from discovery through delivery.
Collaborate with senior business partners across Finance, Commercial, Supply Chain, and Operations to identify analytical needs, challenges, and opportunities.
Translate business requirements into clear functional specifications for data models, KPIs, dashboards, and stories.
Influence analytics solution design and user experience, ensuring insights are intuitive, scalable, and actionable.
Define and design SAC analytical applications, stories, dashboards, and visualizations for executive, managerial, and operational users.
Support SAC Planning and Forecasting use cases (where applicable), including integration with S/4HANA actuals.
Apply best practices for SAC performance, security roles, data actions, and story optimization.
Ensure SAC content supports Top-Floor to Shop-Floor analytics consumption
Contribute to the design of enterprise data models in SAP Datasphere, including: Analytical datasets, Reusable semantic layers and Business entity models aligned with S/4HANA
Work with data engineering teams to define ingestion patterns, transformations, and harmonization rules.
Drive consistency across master data, hierarchies, and reference data to support enterprise reporting.
Support integration with BW/4HANA and other data hubs where applicable.
Bring strong functional understanding of the Order-to-Cash lifecycle, including: Customer master & credit management, Sales order management, Pricing, billing & invoicing, revenue recognition and Accounts receivable & collections
Define O2C Key Performance Indicators and analytics such as order intake, billing accuracy, DSO, on-time delivery, revenue leakage, and dispute management.
Leverage S/4HANA Embedded Analytics (CDS Views, Analytical Queries) to support real-time O2C insights.
Collaborate with O2C functional teams to ensure analytics aligns with Fit-to-Standard S/4 processes.
Participate in data management and analytics governance initiatives, including: Analytics catalog design, KPI definitions and ownership, Data quality monitoring
Promote data literacy and citizen analytics within the business.
Develop and embed standards and guidelines for the analytics development lifecycle.
Prepare materials, sample datasets, and processes for Fit-to-Standard workshops.
Contribute to the ongoing evolution of the Analytics & AI operating model.
Be responsible for navigation of interim states and solving the problems they generate.
Prepare material, tools, sample data, and processes for Fit-2-Standard workshops.
Lead integration of analytics and AI into business processes, where possible automating decision making.
Good experience in Business Analysis within Analytics and BI domains.
Hands-on experience in one or more full SAP S/4HANA implementation cycles, with a focus on: S/4 Embedded Analytics, SAP Analytics Cloud (SAC) and SAP Datasphere or SAP BW/4HANA
Ability to convey complex information through analytics to diverse audiences, from executives to operational teams..
Considerable functional exposure to Finance and/or Operations processes, with strong emphasis on Order-to-Cash (O2C).
Good understanding of data modeling, KPI frameworks, and analytical storytelling.
Strong learning attitude for new SAP tools, business processes, and digital innovations.
Experience with Business Process Management tools such as SAP Signavio, BIC, or Nimbus
Exposure to regulatory environments (e.g., GxP, SOX).
Familiarity with AI / ML concepts and their application in enterprise analytics.
Industry experience in Life Sciences, Pharmaceuticals, or Bio-Tech.
Experience leading or mentoring teams of analysts and testers.
Strong UX and design-thinking exposure for analytics solutions.
Experience with Planning tools such as SAP BPC, Hyperion, or SAC Planning.
Relevant SAP certifications (Analytics, S/4HANA, SAC, Datasphere), or certifications in Project Management, BI, Data Management, or Finance.
Experience working on large-scale, complex, and multi-year SAP transformation programs.
Why AstraZeneca?
At Astrazeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.
So, what’s next?
Are you already imaging yourself joining our team? Good, because we can’t wait to hear from you.
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and hope its yours
If you’re curious to know more then we welcome your application no later than
Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Date Posted
30-Apr-2026Closing Date
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.