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 to work with modern analytics technologies and improve processes.
- Why this job: Join a dynamic team and make impactful decisions through data analysis.
- Qualifications: Strong SQL skills, experience with BI tools, and excellent analytical mindset.
The predicted salary is between 78000 - 78000 £ 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, 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.
- 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.
- 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: Insight‐Driven BI & SQL Expert in London employer: Involved Solutions
Join a forward-thinking organisation that values innovation and collaboration, offering a dynamic work culture where your insights directly influence business decisions. With a hybrid working model in the heart of Central London, you will enjoy the flexibility of remote work while being part of a supportive team dedicated to your professional growth and development. This role not only provides competitive rates but also the opportunity to work with cutting-edge analytics tools, ensuring you stay at the forefront of the data analysis field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst: Insight‐Driven BI & SQL Expert in London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Analyst: Insight‐Driven BI & SQL Expert in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Analyst: Insight‐Driven BI & SQL Expert at Involved Solutions, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Involved Solutions.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Involved Solutions
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
