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- Tasks: Analyse data to identify issues and shape future datasets.
- Company: Dynamic team focused on data transformation in a modern digital environment.
- Benefits: Competitive daily rate, flexible remote work options, and valuable experience.
- Why this job: Make a real impact by solving data challenges and shaping the future of data.
- Qualifications: Experience in data analysis and familiarity with tools like PowerBI.
- Other info: Opportunity for growth in a fast-paced, collaborative setting.
A strong Data Analyst is required to work on the Data Transformation workstream. With modern data-driven digital capabilities, a small team of Data experts are required to analyse existing system datasets spread across multiple system instances, in order to help identify and address data issues and to shape target datasets and structures for the future.
Core focus of the role:
- Define and validate meaning and shape of target datasets
- Quantify data quality issues
- Turn data anomalies into agreed business rules with stakeholders
Required Skills:
- Assess completeness, validity, consistency, uniqueness, interpret what issues mean operationally/clinically.
- Contribute to defining entities, relationships, and the minimum viable dataset aligned to the target schema.
- Help to map legacy fields to target data dictionary definitions, identify ambiguous usage and propose standard definitions.
- Analyse duplicates/conflicts/missing data and propose resolution options while documenting any trade-offs.
- Work with SMEs/BSOs/Trusts to agree handling of anomalies and confirm business meaning.
- Produce clear, decision-ready outputs (issue summaries, dashboards, reconciliation lists, sign-off packs).
- Experience with tools like PowerBI for reporting/visualisation of analytical findings.
- Create readable analytical notes detailing methods.
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Data Analyst in London employer: Experis - ManpowerGroup
Contact Detail:
Experis - ManpowerGroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage in online forums. You never know who might have the inside scoop on a job opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using tools like PowerBI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your thought process when tackling data quality issues or anomalies—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates like you who are eager to join our team.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data quality issues, dataset definitions, and any tools like PowerBI that you've used. 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 analysis and how you can contribute to our team. Be specific about your past experiences and how they relate to the job description.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention any projects where you’ve turned data anomalies into actionable insights or defined datasets. We love seeing real examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Experis - ManpowerGroup
✨Know Your Data Inside Out
Before the interview, dive deep into the data concepts mentioned in the job description. Brush up on your understanding of data quality issues, target datasets, and how to define entities and relationships. Being able to discuss these topics confidently will show that you’re not just familiar with the role but genuinely interested in it.
✨Prepare Real-World Examples
Think of specific instances from your past experience where you've tackled data anomalies or improved data quality. Be ready to share these examples during the interview, as they’ll help demonstrate your problem-solving skills and ability to work with stakeholders effectively.
✨Familiarise Yourself with PowerBI
Since experience with tools like PowerBI is crucial for this role, make sure you’re comfortable discussing how you’ve used it in previous projects. If possible, prepare a small demo or visualisation to showcase your analytical findings, as this could set you apart from other candidates.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company’s data transformation goals. Ask about the current challenges they face with their datasets or how they envision the future of their data strategy. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.
