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For Companies At a Glance
- Tasks: Support data delivery, build dashboards, and validate data models for impactful analytics.
- Company: Join a leading SAP global partner with a focus on innovation and collaboration.
- Benefits: Enjoy 30 days vacation, private medical insurance, and flexible remote work options.
- Other info: Be part of a dynamic team with opportunities for growth and community involvement.
- Why this job: Make a difference by turning data into actionable insights across various industries.
- Qualifications: Experience in data solutions and familiarity with SAP tools is a plus.
The predicted salary is between 40000 - 50000 £ per year.
As one of SAP’s Tier 1 global partners we help clients turn data into insight and action across their transformation journeys. As a SAP Data & Analytics Analyst, you will support end‑to‑end delivery across data and analytics workstreams – helping shape requirements, build and validate data models, develop dashboards and analytical products, and contribute to high‑quality, repeatable delivery on SAP and cloud data platforms.
Key Responsibilities
- Support delivery teams to gather, document and validate data and reporting requirements with business and functional stakeholders.
- Build, test and document data pipelines and transformations (e.g., ingestion, cleansing, harmonisation, data quality checks) across SAP and non‑SAP sources.
- Develop analytics outputs such as semantic models, queries and dashboards (e.g., SAP Analytics Cloud), ensuring performance, usability and adoption.
- Work with a range of clients and industries, contributing to agile delivery, stakeholder updates, and continuous improvement of delivery accelerators and reusable assets.
Qualifications
- Hands‑on experience delivering data and analytics solutions (requirements, build, test, release) within at least one project team.
- Working knowledge and ability to analyse datasets, validate outputs and troubleshoot issues collaboratively with engineers and platform teams.
- Data modelling and data engineering fundamentals (e.g., dimensional modelling, star schema concepts, data quality, reconciliation, lineage documentation).
- Familiarity with SAP data & analytics components such as SAP Datasphere, SAP BW/BW/4HANA, and/or SAP Analytics Cloud (or strong transferable experience with comparable tools).
- Familiarity with SAP business processes and data (e.g., Finance, Supply Chain, Procurement) and ability to translate business questions into data and reporting requirements.
- Comfort working in distributed teams using agile ways of working (e.g., user stories, backlogs, sprint ceremonies) and standard delivery tooling.
- Strong communication skills, attention to detail, and the ability to clearly present findings and recommendations to both technical and non‑technical stakeholders.
Benefits
- Competitive basic salary plus an extensive benefits package including 30 days’ vacation per year, private medical insurance, 3 extra days leave per year for charitable work, and flexibility to work both remotely and onsite as required.
Equal Employment Opportunity Statement
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
Closing Date for Applications 31/05/2026
SAP Data & Analytics Analyst in London employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAP Data & Analytics Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any analytics projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to SAP and data analytics. Practice explaining your past projects and how you tackled challenges. Confidence is key, so get comfortable talking about your experience!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it shows you're proactive and genuinely interested in the role.
We think you need these skills to ace SAP Data & Analytics Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the SAP Data & Analytics Analyst role. Highlight relevant experience and skills that match the job description, especially around data modelling and analytics tools.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and analytics, and how your background makes you a great fit for our team at StudySmarter.
Showcase Your Projects: If you've worked on any data projects, don’t hold back! Include specific examples of your contributions, especially those involving SAP tools or similar technologies, to demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Data Inside Out
As an SAP Data & Analytics Analyst, you’ll be dealing with data models and analytics outputs. Make sure you brush up on your knowledge of data modelling concepts like dimensional modelling and star schema. Be ready to discuss how you've applied these in past projects.
✨Showcase Your Technical Skills
Familiarity with tools like SAP Datasphere and SAP Analytics Cloud is crucial. Prepare examples of how you've used these tools or similar ones in your previous roles. Highlight any specific projects where you built or validated data pipelines.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms. Think about how you can present your findings to both technical and non-technical stakeholders during the interview.
✨Embrace Agile Methodologies
Since the role involves working in distributed teams using agile practices, be prepared to discuss your experience with agile methodologies. Share examples of how you've contributed to sprint ceremonies or managed backlogs in previous projects.