At a Glance
- Tasks: Transform raw data into actionable insights and support strategic decision-making.
- Company: Join a leading consulting firm in the heart of London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by analysing complex datasets and driving client solutions.
- Qualifications: Experience in data analysis, strong SQL skills, and excellent communication abilities.
The predicted salary is between 40000 - 50000 € per year.
City of London, United Kingdom | Posted on 10/04/2026
Data Analysts in DMS Digital play a vital role in transforming raw data into actionable insights to support project delivery and strategic decision‐making. They are responsible for extracting, combining, transforming, and analysing complex datasets, primarily utilising SQL Server and other data tools. They ensure data quality, develop robust reporting, and provide critical analytical support throughout the project lifecycle, enabling informed solutions for internal and external clients.
Key Responsibilities- Data Extraction & Collection: Working alongside Business Analysts, Solution Architects, and client stakeholders to identify, extract, and collect relevant data from various sources, including SQL Server databases, for analysis.
- Data Transformation & Modelling: Designing and implementing data transformation processes (ETL/ELT) to cleanse, combine, and structure raw data into suitable formats for analysis and reporting, often using SQL.
- Data Analysis & Interpretation: Performing in-depth analysis of complex datasets to identify trends, patterns, and insights that inform project decisions and client solutions.
- Data Requirements Definition: Collaborating with stakeholders to define clear and comprehensive data requirements for new solutions, reports, and analytical tools.
- Reporting & Visualisation: Developing and maintaining accurate and insightful reports, dashboards, and visualisations to communicate key findings and performance metrics to technical and non‐technical audiences.
- Data Quality Assurance: Implementing and monitoring data quality checks to ensure the accuracy, completeness, and reliability of data used in analysis and reporting.
- Data Tool Configuration: Assisting with the setup, configuration, and administration of a range of data analysis and reporting tools during development, testing, operational readiness, or during operational support.
- Data Documentation & Reporting: Creation of a variety of documents for data dictionaries, data lineage, analytical methodologies, and regular performance reports.
- Data Governance & Standards: Contributing to the ongoing development and review of technical principles and standards applicable to data assessment, quality, design, build, and analysis activities in DMS Digital.
- Data Risk Management: Supporting the development, maintenance, improvement, and management of risk controls pertaining to the activities of data analysis and reporting within DMS Digital.
- Proven experience as a Data Analyst or in a similar data‐focused role, within a consulting environment or on client‐facing projects.
- Strong proficiency in SQL Server for data extraction, transformation, and manipulation.
- Excellent analytical and problem‐solving skills, with meticulous attention to detail.
- Proficiency in developing reports and dashboards using business intelligence tools (e.g., Power BI, Tableau).
- Exceptional communication, presentation, and interpersonal skills, with the ability to explain complex data concepts to technical and non‐technical stakeholders.
- Ability to work independently and collaboratively within a team environment.
- Demonstrable experience in data modelling, ETL/ELT processes, and data warehousing concepts.
- Experience with other database technologies (e.g., Azure SQL Database, PostgreSQL).
- Familiarity with scripting languages for data analysis (e.g., Python, R).
- Experience with cloud data platforms (e.g., Azure Data Factory, Databricks).
Data Analyst in London employer: Deloitte - Recruitment
DMS Digital is an exceptional employer located in the heart of the City of London, offering Data Analysts a dynamic work environment where innovation and collaboration thrive. With a strong focus on employee growth, we provide extensive training opportunities and encourage professional development, ensuring that our team members are equipped with the latest skills in data analysis and reporting. Our inclusive work culture fosters creativity and teamwork, making it a rewarding place for those looking to make a meaningful impact through data-driven insights.
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 industry, attend meetups, and join online forums. The more people you know, the better your chances of landing that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples to demonstrate your expertise in SQL Server and data visualisation tools like Power BI or Tableau.
✨Tip Number 3
Prepare for interviews by practising common data analysis questions. Brush up on your SQL skills and be ready to discuss how you've tackled complex datasets in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for talented Data Analysts like you. Keep an eye on our listings and get your application in!
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 SQL Server and any client-facing projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Include specific examples of data analysis, reporting, and any tools like Power BI or Tableau that you've mastered. This helps us see your practical experience.
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. Keep it engaging and relevant to the job description—we love a good story!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Deloitte - Recruitment
✨Know Your SQL Inside Out
Since the role heavily relies on SQL Server, make sure you brush up on your SQL skills. Be prepared to discuss your experience with data extraction and transformation processes, and maybe even tackle a few SQL queries during the interview.
✨Showcase Your Analytical Skills
Prepare examples of how you've analysed complex datasets in the past. Highlight specific trends or insights you discovered and how they influenced project decisions. This will demonstrate your ability to turn raw data into actionable insights.
✨Communicate Clearly
You’ll need to explain complex data concepts to both technical and non-technical stakeholders. Practice articulating your thoughts clearly and concisely, perhaps by explaining a past project to a friend who isn’t familiar with data analysis.
✨Familiarise Yourself with Reporting Tools
Since developing reports and dashboards is key, be ready to discuss your experience with tools like Power BI or Tableau. If possible, bring along examples of your work to showcase your skills in visualising data effectively.
