At a Glance
- Tasks: Dive deep into data analysis, tackle SQL challenges, and enhance data quality.
- Company: Join a global consulting firm driving major transformation projects.
- Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
- Other info: Fast-track onboarding with excellent opportunities for career growth.
- Why this job: Make a real impact by resolving data issues and improving data accuracy.
- Qualifications: Strong SQL skills and experience in data-heavy environments required.
The predicted salary is between 45000 - 54000 € per year.
Data Analyst (SQL / Data Quality) – Contract – London / Hybrid
Robert Half is supporting a global consulting firm in the search for a hands-on Senior Data Analyst to join a major transformation programme. This role is focused on deep data analysis, SQL investigation, and resolving data quality issues, working closely with stakeholders but primarily operating within the data itself day-to-day.
Assignment Details
- Initial 6-month contract (strong likelihood of extension)
- Start Date: 2–3 weeks (fast-track onboarding)
- Location: Hybrid (1–2 days per week in London)
- Rate: £450 p/day via FCSA-accredited umbrella
The Role
This is a heavily SQL-driven role suited to someone comfortable interrogating datasets, identifying issues, and resolving data problems across complex environments.
Key Responsibilities
- Hands-on SQL analysis of datasets to identify data quality issues, inconsistencies, and root causes
- Investigating and resolving data issues across multiple systems and data sources
- Performing data validation, reconciliation, and transformation checks
- Working on source-to-target mapping and ensuring accuracy of data flows
- Analysing complex and overlapping datasets (deduplication, cleansing, anomaly detection)
- Supporting migration and transformation workstreams with a strong focus on data accuracy
- Producing data artefacts such as data dictionaries, validation rules, and mapping documentation
- Working with BI/reporting teams to ensure data is fit-for-purpose
- Supporting data governance activities including PII, GDPR, and data controls
Required Experience
- Strong hands-on experience as a Data Analyst in data-heavy environments
- Strong SQL skills – must be confident querying and analysing data independently
- Proven experience investigating and resolving data quality issues
- Experience with data validation, reconciliation, and data cleansing
- Strong experience with data migration, mapping, and transformations
- Comfortable working with large, messy datasets across multiple sources
- Strong Excel skills
- Understanding of data structures and relationships (data models, entities)
- Practical understanding of data governance concepts (GDPR, PII, data controls)
Nice to Have
- Experience with Snowflake, Databricks or similar modern data platforms
- Exposure to MDM tools (e.g. Profisee, Ataccama)
- Financial services data experience
- Visio or process mapping tools
Additional Information: All candidates must complete standard screening (Right to Work, DBS, credit/sanctions, employment verification)
SQL Data Analyst in Slough employer: Robert Half
As a leading global consulting firm, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our hybrid working model allows for flexibility while collaborating with talented professionals in London, ensuring you have the support and resources needed to excel in your role as a SQL Data Analyst. With a strong focus on data quality and transformation, you'll be part of meaningful projects that drive impactful change within the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Data Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that SQL Data Analyst gig.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL skills and data analysis techniques. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions. Show them you’re the hands-on analyst they need!
✨Tip Number 3
Don’t forget to showcase your problem-solving skills! When discussing your past experiences, highlight specific instances where you identified and resolved data quality issues. We want to see how you tackle challenges head-on.
✨Tip Number 4
Apply through our website for the best chance at landing that role! We’ve got loads of resources to help you prepare and stand out. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace SQL Data Analyst in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the SQL Data Analyst role. Highlight your hands-on SQL experience and any data quality issues you've tackled. 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 your experience aligns with our needs. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects:If you've worked on projects involving data validation, cleansing, or migration, make sure to mention them. We’re keen to see real examples of your work that demonstrate your problem-solving skills in complex environments.
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 makes the whole process smoother for everyone involved!
How to prepare for a job interview at Robert Half
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be ready to demonstrate your ability to query and analyse data independently. You might be asked to solve a problem on the spot, so practice common SQL queries and think about how you would approach data quality issues.
✨Know Your Data Governance
Familiarise yourself with data governance concepts like GDPR and PII. Be prepared to discuss how these regulations impact data handling and quality. Showing that you understand the importance of data controls will impress your interviewers and show you're serious about data integrity.
✨Prepare Real-World Examples
Think of specific examples from your past experience where you've successfully resolved data quality issues or performed data validation. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you convey your problem-solving skills effectively.
✨Engage with Stakeholders
Since this role involves working closely with stakeholders, be ready to discuss how you’ve collaborated with different teams in the past. Highlight your communication skills and how you ensure that data is fit-for-purpose for reporting and analysis. This shows you can bridge the gap between technical and non-technical teams.
