At a Glance
- Tasks: Transform raw data into actionable insights and build scalable reporting solutions.
- Company: Established organisation with a growing data function in Central London.
- Benefits: Competitive rate, hybrid work model, and flexible contract length.
- Other info: Opportunity for career growth in a collaborative environment.
- Why this job: Join a dynamic team and make impactful decisions through data analysis.
- Qualifications: Strong SQL skills and experience with modern BI tools required.
The predicted salary is between 30000 - 39000 £ per year.
An established organisation is seeking a Data Analyst to join a growing data function supporting the delivery of insight-led decision making across the business. This is a hands-on contract role suited to a technically strong analyst who is comfortable working with modern analytics tooling, clean data models plus stakeholder-facing outputs.
The Data Analyst will work closely with technical plus non-technical teams to transform raw data into trusted insight leveraging contemporary analytics platforms plus best-practice approaches to data modelling, visualisation, and reporting.
Responsibilities for the Data Analyst:
- Analyse and interpret complex datasets to deliver clear actionable insights that support business decision-making.
- Build and maintain scalable reporting analytics solutions using modern BI analytics tools.
- Work with structured and semi-structured data sources ensuring data quality, consistency, and reliability.
- Develop reusable datasets and semantic models to support self-service analytics.
- Collaborate with stakeholders to understand reporting requirements and translate them into effective analytical outputs.
- Support ongoing improvement of analytics processes, tooling, and data governance standards.
- Contribute to the adoption of modern analytics practices including automation and version-controlled workflows.
Essential Skills for the Data Analyst:
- Strong experience in data analysis using SQL with the ability to write performant, well-structured queries.
- Experience building dashboards and reports using modern BI tools (Power BI, Tableau, Looker or similar).
- Solid understanding of data modelling concepts including star schemas and analytical datasets.
- Experience working with cloud-based data platforms and modern data stacks.
- Ability to communicate insights clearly to both technical and non-technical stakeholders.
- Strong analytical mindset with excellent attention to detail.
Desirable Skills for the Data Analyst:
- Experience using Python for data analysis, transformation, and automation.
- Exposure to cloud data platforms such as Azure, AWS, GCP.
- Familiarity with modern analytics engineering tools (dbt or similar).
- Experience working in Agile delivery environments.
- Understanding of data governance, data quality frameworks, and metric standardisation.
If you are a Data Analyst with strong technical capability plus experience working with modern analytics technologies who is looking for a flexible Outside IR35 contract with a hybrid working arrangement, please apply in the immediate instance.
Data Analyst: Insight Driven BI & SQL Expert employer: Involved Solutions
Join a forward-thinking organisation that values innovation and collaboration, offering a dynamic work culture where your analytical skills can truly shine. With a hybrid working model based in Central London, you will enjoy the flexibility of remote work while still engaging with a vibrant team on-site once a week. This role not only provides competitive pay but also fosters professional growth through exposure to cutting-edge analytics tools and methodologies, making it an ideal environment for those looking to advance their careers in data analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst: Insight Driven BI & SQL Expert
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Involved Solutions before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Involved Solutions.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Involved Solutions.
We think you need these skills to ace Data Analyst: Insight Driven BI & SQL Expert
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Involved Solutions, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Involved Solutions, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Involved Solutions’s attention and show the tangible impact of your work.
How to prepare for a job interview at Involved Solutions
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Involved Solutions.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Involved Solutions.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Involved Solutions.
