At a Glance
- Tasks: Transform raw data into actionable insights and build scalable reporting solutions.
- Company: Established organisation with a growing data function and a collaborative culture.
- Benefits: Competitive rate of up to £325/day, hybrid work, and flexible contract length.
- Other info: Opportunity for career growth in a modern analytics environment.
- Why this job: Join a dynamic team and make a real impact on data-driven decision-making.
- Qualifications: Strong SQL skills, experience with BI tools, and a solid understanding of data modelling.
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, model, 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 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, or 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 - up to £325/day Outside IR35 - Hybrid 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 having the opportunity to engage with colleagues on-site. The company is committed to employee growth, providing access to modern analytics tools and fostering an environment that encourages continuous learning and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - up to £325/day Outside IR35 - Hybrid
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and reports. 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 your technical skills and practising common data analysis questions. Be ready to discuss your experience with SQL, BI tools, and how you've tackled complex datasets in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst - up to £325/day Outside IR35 - Hybrid
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your SQL prowess, BI tool experience, and any cloud platform exposure to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this Data Analyst role. Share specific examples of how you've transformed data into actionable insights and how you’ve collaborated with stakeholders.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills! Mention your experience with modern analytics tools like Power BI or Tableau, and any familiarity with Python or cloud platforms. We love seeing those skills in action!
Apply Through Our Website:For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Involved Solutions
✨Know Your Data Tools
Make sure you’re well-versed in the modern analytics tools mentioned in the job description, like SQL and Power BI. Brush up on your skills and be ready to discuss specific projects where you've used these tools to deliver insights.
✨Prepare for Technical Questions
Expect questions that dive deep into data modelling concepts and your experience with cloud-based platforms. Be prepared to explain your thought process when analysing complex datasets and how you ensure data quality and reliability.
✨Showcase Your Communication Skills
Since the role involves working with both technical and non-technical teams, practice explaining your analytical outputs in simple terms. Think of examples where you’ve successfully communicated insights to stakeholders and how it impacted decision-making.
✨Demonstrate Your Problem-Solving Mindset
Be ready to discuss how you approach challenges in data analysis. Share specific instances where you improved analytics processes or contributed to data governance standards, highlighting your analytical mindset and attention to detail.
