Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data quality and create impactful reports using PowerBI.
- Company: Join a dynamic team at Data Freelance Hub, embracing innovation.
- Benefits: Competitive daily rate, flexible hybrid/remote work, and valuable experience.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: Experience in data analysis, ETL processes, and PowerBI is essential.
- Other info: 6-month contract with opportunities for professional growth.
The predicted salary is between 74000 - 84000 £ per year.
This role is for a Data Analyst with a 6-month contract, paying £370-420 per day, based in London/Remote.
Key skills include:
- Data quality assessment
- ETL processes
- PowerBI experience
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: Data Freelance Hub
Contact Detail:
Data Freelance Hub 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 and let them know you're on the hunt for a Data Analyst role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data quality assessments, ETL processes, and PowerBI projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Be ready to discuss how you've tackled data anomalies and worked with stakeholders to define business rules. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining 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 highlights your experience with data quality assessment and ETL processes. We want to see how your skills align with the role, so don’t be shy about showcasing your PowerBI expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Analyst role. Share specific examples of how you've tackled data anomalies or improved data quality in past projects.
Showcase Your Analytical Skills: In your application, include examples of how you've produced clear, decision-ready outputs like dashboards or issue summaries. We love seeing how you can turn complex data into actionable insights!
Apply Through Our Website: Don’t forget to apply directly through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with data quality assessment and ETL processes. Brush up on your PowerBI skills too, as you might be asked to demonstrate your ability to create dashboards or visualise data findings.
✨Prepare Real-World Examples
Think of specific instances where you've dealt with data anomalies or quality issues. Be ready to discuss how you quantified these issues and what business rules you established with stakeholders. This will show your practical experience in data transformation.
✨Understand the Business Context
Research the company and its industry. Knowing how they handle data and what challenges they face can help you tailor your responses. It’s all about showing that you can align your analytical skills with their business needs.
✨Practice Clear Communication
You’ll need to produce decision-ready outputs, so practice explaining complex data concepts in simple terms. Mock interviews with a friend can help you refine your ability to communicate your analytical methods clearly and effectively.
