At a Glance
- Tasks: Analyse complex datasets and develop data solutions using SQL and Azure.
- Company: Global law firm with a focus on innovative business systems.
- Benefits: Competitive salary, bonus, hybrid work, and comprehensive benefits.
- Other info: Opportunity for career growth in a collaborative and supportive setting.
- Why this job: Join a dynamic team and shape critical data platforms in a prestigious environment.
- Qualifications: Strong SQL skills and experience in data analysis and engineering.
The predicted salary is between 80000 - 85000 £ per year.
Data Analyst - SQL, Data Analysis, Dimensional Modelling, Database Administration, SQL Scripting, Performance Tuning, Azure, ETL, Data Warehousing.
Permanent.
London Hybrid (3/2). c.£80k-£85k + Bonus + Benefits
Global Law Firm seeks an experienced Data Analyst to join its Business Systems team, supporting and developing a business-critical data and reporting platform.
You'll work across an Enterprise Data Warehouse, Microsoft Azure and SQL-based data environments, helping the firm analyse, structure, optimise and manage data while ensuring platforms remain reliable, scalable and aligned with evolving business requirements.
The role combines Data Analysis and Dimensional Modelling, SQL Engineering / Database Administration, and Stakeholder Liaison – gathering, defining and maturing data requirements across the business.
You'll work extensively with SQL, data structures, ETL processes and Azure-based services, with additional exposure to Power BI/Fabric as part of the wider reporting environment.
Key Responsibilities
- Analyse complex datasets and translate business requirements into structured data solutions.
- Design and maintain dimensional data models, data warehouse structures and associated data flows.
- Develop and optimise SQL scripts, stored procedures, functions and database objects.
- Undertake SQL performance tuning, query optimisation and troubleshooting across business-critical databases.
- Support database administration activities including configuration, access, monitoring, maintenance and performance.
- Develop and maintain ETL processes and integrations using Azure Data Factory.
- Support administration and operation of Azure-based data services and associated environments.
- Work with stakeholders to gather, define and mature data and reporting requirements.
- Troubleshoot data quality, integration and performance issues across multiple systems.
- Support Power BI, semantic models and reporting solutions where required.
We're looking for candidates with strong SQL, Data Analysis and Data Engineering experience combined with the ability to work confidently with business stakeholders.
You will possess
- Expert SQL skills including complex scripting, stored procedures, functions, XML and JSON data types.
- Strong experience of SQL query optimisation, troubleshooting and performance tuning.
- Good database administration experience within SQL Server or comparable enterprise database environments.
- Strong understanding of Dimensional Modelling and Data Warehouse methodologies including Kimball and Inmon.
- Experience analysing, transforming and validating complex business data.
- Experience building ETL processes and integrations using Azure Data Factory.
- Good knowledge of Microsoft Azure and administration of cloud-based data services.
- Strong stakeholder engagement skills with the ability to gather and translate complex data requirements.
- Excellent communication and documentation skills with the ability to explain technical concepts to non-technical audiences.
- Experience with Power BI, DAX, semantic models or Microsoft Fabric would be useful but is not the primary focus of the role.
- Experience of Dev Ops, CI/CD and deployment pipelines would be advantageous.
- Experience within Legal Services, Financial Services, Banking or another highly regulated professional services environment would be desirable.
This is an excellent opportunity to join a Business Systems team working across multiple systems and departments where you'll combine hands-on SQL development, Data Analysis, Dimensional Modelling, Database Administration, Azure and ETL engineering to help shape and improve a strategically important enterprise data platform.
Experience gained within Law Firms, Legal Services, Legal Application Vendors, Systems Integrators or Consultancies is welcomed but non-essential.
We can also consider candidates from Financial Services, Banking, Investment Banking, Exchanges and wider Professional Services environments.
Data Analyst in London employer: Comtecs Ltd Careers
As a leading global law firm, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our London-based team offers competitive salaries, comprehensive benefits, and the opportunity to work on cutting-edge cybersecurity projects in a collaborative environment, ensuring that you are at the forefront of the industry while making a meaningful impact on our clients' security posture.
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We think this is how you could land Data Analyst in London
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We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Comtecs Ltd Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Comtecs Ltd Careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Comtecs Ltd Careers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Comtecs Ltd Careers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
