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- Tasks: Drive data analysis and generate insights for client businesses using advanced analytics.
- Company: Join Capgemini, a leading tech company known for innovation and collaboration.
- Benefits: Enjoy flexible working, competitive salary, and a focus on employee wellbeing.
- Why this job: Make a real impact with data while working in a dynamic, supportive environment.
- Qualifications: Strong data analysis skills, SQL proficiency, and experience with BI tools required.
- Other info: Hybrid working model with excellent career growth opportunities and a commitment to diversity.
The predicted salary is between 28800 - 48000 £ per year.
You will join the Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. Insights and Data is a global business unit covering Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics.
We are seeking a senior, delivery-focused individual with strong client-facing experience to drive data analysis for our client businesses. The Data Analyst will often act as a conduit into our client and take the lead in driving data issue resolution, enlisting the support of the relevant Business or Data Owners, Data Stewards and other technical forum members, as required, by providing Data Management expertise and guidance. The role requires strong technical expertise, data literacy, and the ability to communicate insights to non-technical stakeholders.
Key Responsibilities- Data Analysis & Insight Generation: Perform complex data analysis to identify key trends, patterns, and emerging issues. Produce high-quality dashboards, reports, and visualisations.
- Business Engagement: Partner with stakeholders to understand business questions and define analytical requirements. Present insights to senior stakeholders clearly and effectively.
- Data Quality & Governance: Ensure the accuracy, completeness, and reliability of data used for reporting. Support data quality improvements and validation processes.
- Advanced Analytics: Develop predictive models and conduct statistical analyses as required. Support innovation in analytical methods and tools.
- Collaboration & Standards: Work with technology teams on data pipeline improvements. Contribute to the development of analytical standards and best practices. Experience in leading small to medium sized teams.
You may also offer insights to the wider community through blogs, articles and social media.
At Capgemini, we believe in bringing your whole self to work. Equity, diversity, and inclusion are woven into our everyday culture, creating a welcoming and supportive environment for everyone.
Experience- Ability to delve deep into a topic/requirement, analyse the impact and provide solutions.
- Ability to assimilate information quickly and make informed decisions.
- Ability to use own initiative to resolve issues/ investigate and find solutions.
- Strong oral/written communication skills and presentation skills.
- Working within cross-region teams and projects.
- Experience in delivering projects using an Agile methodology.
- Significant experience in data analysis or business analytics roles.
- Strong SQL proficiency.
- Expertise in BI tools such as Power BI, Tableau, or Qlik.
- Advanced Microsoft Excel skills.
- Experience with statistical tools (Python, R, etc.).
- Clear communication and stakeholder-engagement skills.
- Hands-on experience in the areas of Data Analysis, Data Profiling, Data Management, Data Migration and Data Quality Management.
- Experience of working with a recognised Agile or Iterative development methodology (e.g. Scrum, XP, DSDM).
- Experience of Agile documentation including Backlogs, Customer Journeys, Use Cases, User Stories, Acceptance Criteria etc.
- Good facilitation and influencing skills with the ability to work with large groups of customers of varying level of seniority.
- Experience working with leading data applications for Tier 1 vendors such as Informatica, SAP, IBM, Oracle, and cloud services providers (Amazon Web Services, Microsoft Azure and Google Cloud Platform).
- Demonstrable experience on several data projects with focus on Business analysis or Data Analysis.
- Demonstrable experience on at least 2 end-to-end data centric projects as a Data analyst or analyst.
- Experience with cloud data platforms (Azure, AWS, or GCP).
- Knowledge of data modelling concepts.
- Exposure to machine learning methodologies.
- Analytical thinking.
- Attention to detail.
- Problem-solving capability.
- Communication and storytelling.
- Collaboration and influence.
Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.
Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
About Capgemini: We’re a fantastic team of bright, ambitious people who love bringing the latest tech to real clients in production to make a meaningful difference. We work across both the public and private sectors, and our impact is tangible because we innovate, we deploy, and you will see your work come to life in the real world.
Data Analyst in Birmingham employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data analysis skills. Use real examples from your past work to demonstrate how you’ve tackled challenges.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can keep you fresh in the interviewer’s mind and show your enthusiasm for the role.
✨Tip Number 4
Check out our website for job openings! We’re always looking for talented individuals, and applying directly through us can give you an edge in the hiring process.
We think you need these skills to ace Data Analyst in Birmingham
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience in data analysis and client engagement. We want to see how your skills align with the role, so don’t hold back on showcasing your SQL proficiency and BI tool expertise!
Showcase Your Communication Skills: Since you'll be presenting insights to senior stakeholders, it's crucial to demonstrate your strong oral and written communication skills. Use clear language and examples in your application to show us how you can effectively convey complex data findings.
Highlight Your Problem-Solving Abilities: We love candidates who can think analytically and tackle challenges head-on. In your application, share specific instances where you've successfully resolved data issues or improved data quality. This will help us see your problem-solving capabilities in action!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Capgemini!
How to prepare for a job interview at Capgemini
✨Know Your Data Tools
Make sure you're well-versed in SQL and BI tools like Power BI or Tableau. Brush up on your advanced Excel skills too, as these will likely come up during the interview. Being able to demonstrate your technical expertise will show that you’re ready to hit the ground running.
✨Understand the Business Context
Before the interview, research Capgemini’s Insights and Data business unit. Familiarise yourself with their projects and how data analysis drives their success. This will help you tailor your answers and show that you can engage with stakeholders effectively.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world data problems. Think of examples from your past experience where you've successfully resolved data issues or improved data quality. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to present insights to non-technical stakeholders. Practice explaining complex data concepts in simple terms. You might even want to prepare a mini-presentation on a data project you've worked on to demonstrate your storytelling ability.
