At a Glance
- Tasks: Own end-to-end analytics solutions and deliver impactful insights for business decisions.
- Company: Join a well-established organisation with a modern data stack.
- Benefits: Competitive day rate, hybrid/remote work, and a dynamic team environment.
- Other info: Collaborate with technical teams and stakeholders in a supportive atmosphere.
- Why this job: Make a real impact by translating complex data into actionable insights.
- Qualifications: Advanced SQL, Python, and experience with cloud-based data platforms required.
The predicted salary is between 49500 - 60500 £ per year.
Contract Day Rate: £450 - £650 per day
Location: Hybrid|Remote
Contract: 6 Months
Data Idols are working with an established organisation looking for an experienced Senior Full Stack Data Analyst to join their growing data team on a contract basis. This is a great opportunity to work with a modern data stack, taking ownership of end-to-end analytics solutions and delivering meaningful insights that support business decisions.
The Opportunity
As a Senior Data Analyst, you'll work across data analytics and analytics engineering, developing scalable data models, dashboards and analytical solutions. You'll collaborate with technical teams and business stakeholders to understand requirements, analyse complex datasets and deliver actionable insights. You'll also help improve data quality, streamline processes and support the development of reliable, scalable analytics solutions.
Skills and Experience
- Advanced SQL skills, alongside hands-on experience with Python and dbt
- Experience with cloud-based data platforms, ideally BigQuery
- Experience with Looker, LookML or similar BI tools
- Strong understanding of data modelling, reporting and data visualisation
- Experience translating complex data into actionable business insights
- Excellent stakeholder management and communication skills
If you're an experienced Senior Data Analyst who enjoys working across the full analytics stack and delivering high-quality data solutions, we'd love to hear from you.
Senior Data Analyst employer: Data Idols
Join a forward-thinking SaaS organisation that prioritises technology and innovation, offering a dynamic work culture where your contributions as a Principal Software Architect will directly influence the company's success. With a strong emphasis on professional development, hybrid working options, and a supportive environment for mentoring and collaboration, this role provides an excellent opportunity to grow your career while making a meaningful impact in the tech industry. Enjoy competitive benefits including life assurance, holiday trading schemes, and retail discounts, all while working in a location that fosters creativity and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨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 Data Idols 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 Data Idols.
✨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 Data Idols.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Data Idols, 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 Data Idols, 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 Data Idols’s attention and show the tangible impact of your work.
How to prepare for a job interview at Data Idols
✨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 Data Idols.
✨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 Data Idols.
✨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 Data Idols.
