At a Glance
- Tasks: Analyse data to provide insights and support operational optimisation.
- Company: Join Delta Housing Ltd, a forward-thinking organisation with a collaborative culture.
- Benefits: Enjoy a competitive salary, healthcare plan, generous leave, and hybrid working options.
- Other info: Great career growth opportunities and a supportive work environment.
- Why this job: Make a real impact by transforming data into actionable insights for strategic decisions.
- Qualifications: Experience in data analysis, SQL, and Power BI is essential.
The predicted salary is between 50000 - 50000 £ per year.
Requirements
- Extensive experience in data insights and/or performance analysis.
- Experience supporting operational or service delivery teams, ideally within a Direct Labour Organisation or a similar function.
- Experience with Microsoft SQL Server and Azure or Fabric environments.
- Strong expertise in writing, optimising, and maintaining complex T‑SQL queries, stored procedures, and views in Microsoft SQL Server.
- Demonstrable experience of delivering Power BI data products to stakeholders in an enterprise environment.
- Strong collaborative skills, with experience working across multiple teams and initiatives.
Responsibilities
- Provide analytical support to our Delta Integration programme, with a focus on the optimisation of our Direct Labour Organisation and other integration activities as required.
- Engage with stakeholders to gather, interpret, and translate business requirements into technical data and reporting specifications.
- Interrogate and analyse a wide range of datasets to generate actionable insight and performance intelligence.
- Design, develop, and maintain dashboards, reports, and visualisations to support operational and strategic decision‑making.
- Support the integration of data across systems, ensuring consistency, accuracy, and accessibility.
Technologies
- Azure
- Fabric
- Support
- Power BI
- SQL
- Cloud
More
We are recruiting for a Senior Data Analyst on a 12-month fixed-term contract within our Delta Integration programme, based in Chelmsford.
This is a full-time role paying £50,000 per annum.
We offer learning and development opportunities, a healthcare cash plan, a robust employee reward and recognition programme, a free and confidential Employee Assistance Programme, a volunteering programme, a competitive pension scheme, and 25 days annual leave plus bank holidays, three extra days between Christmas and New Year, and one wellbeing day.
We operate a hybrid working policy at Delta Housing Ltd, with 37 hours per week and flexibility by agreement with your line manager to meet business needs.
The role may require more office attendance during training, with a minimum expectation of one day per week in the office, subject to business needs.
- last updated 27 week of 2026
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StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Delta Housing!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Delta Housing.
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We think you need these skills to ace Senior 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Delta Housing, 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 Delta Housing. 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 Delta Housing
✨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!
✨Showcase Your Projects
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 Delta Housing!
✨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.
