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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.
- Benefits: Enjoy 30 days vacation, private medical insurance, and flexible working options.
- Other info: Collaborative environment with opportunities for professional 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 employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAP Data & Analytics Analyst
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data and analytics. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements. Whether it's dashboards you've built or data models you've developed, having tangible examples of your work can really impress potential employers.
✨Ace the Interview
Prepare for common interview questions but also be ready to discuss specific scenarios from your past experiences. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Apply Through Our Website
Don't forget to apply directly through our website! It shows you're genuinely interested in joining us at StudySmarter and gives you a better chance of landing that SAP Data & Analytics Analyst role.
We think you need these skills to ace SAP Data & Analytics Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the SAP Data & Analytics Analyst role. Highlight your experience with data modelling, analytics outputs, and any relevant tools like SAP Analytics Cloud. We want to see how your skills match what we're looking for!
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. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or developing dashboards, we want to know what you've done and how it relates to the role. Concrete examples will help us see your potential.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
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 key. Prepare to talk about your hands-on experience with these tools or similar ones. Bring examples of dashboards or reports you've created to demonstrate your capabilities.
✨Communicate Clearly
Strong communication skills are a must 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 you'll be working in distributed teams using agile practices, be prepared to discuss your experience with user stories, backlogs, and sprint ceremonies. Share specific examples of how you've contributed to agile delivery in previous roles.