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 opportunities for career growth in a dynamic setting.
- Why this job: Make a real impact by resolving data issues and ensuring accuracy in complex environments.
- Qualifications: Strong SQL skills and experience in data analysis and quality assurance.
The predicted salary is between 45000 - 54000 € per year.
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 employer: Robert Half
Join a leading global consulting firm that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact major transformation programmes. With a hybrid working model in London, you will enjoy the flexibility of remote work while benefiting from strong support for professional growth and development opportunities. This role not only allows you to enhance your SQL skills but also positions you at the forefront of data quality initiatives, making it an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the data world, especially those who work with SQL. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects and data analysis work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common SQL questions and data quality scenarios. Practising your responses will help you feel more confident and ready to impress during those crucial conversations.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Analysts like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace SQL Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly 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 up with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your passion for data analysis and how you've resolved data issues in the past. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any projects involving data validation, cleansing, or migration, make sure to mention them. We love seeing real-world examples of your work that demonstrate your problem-solving skills.
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
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with querying and analysing data, as well as any specific challenges you've faced with data quality issues. Practising common SQL queries and being ready to demonstrate your problem-solving approach will definitely impress.
✨Understand Data Quality Concepts
Since this role focuses heavily on data quality, it’s crucial to have a solid grasp of concepts like data validation, reconciliation, and cleansing. Think of examples from your past work where you successfully identified and resolved data issues, and be ready to share these stories during the interview.
✨Familiarise Yourself with Data Governance
Get comfortable discussing data governance principles, especially GDPR and PII. The interviewers will likely want to know how you ensure compliance and maintain data integrity in your work. Having a few examples of how you've implemented data controls in previous roles can set you apart.
✨Prepare Questions for the Interviewers
Interviews are a two-way street, so come prepared with thoughtful questions about the company’s data practices and the specific challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
