At a Glance
- Tasks: Transform raw data into insights and create impactful visualisations using modern BI tools.
- Company: Join a dynamic team in a leading data-driven organisation based in London.
- Benefits: Flexible work schedule, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship from experienced analysts.
- Why this job: Be the driving force behind data solutions that influence business decisions.
- Qualifications: Experience in data analytics, strong SQL or Python skills, and a passion for AI.
The predicted salary is between 36000 - 44000 £ per year.
Who you are
- 2–4 years of experience in data analytics, business intelligence, or a similar technical-functional role.
- Ability to take a structured task and identify the necessary logic, filters, and edge cases (e.g., how to handle partial months) independently.
- Enthusiasm for using AI (LLMs) to speed up SQL writing, debug code, and draft initial documentation templates.
- Strong SQL and/or Python or R skills; ability to manipulate and handle large volumes of data, work across data from disparate sources and environments, perform data transformation with ease, and debug others' code with minimal guidance.
- Demonstrated experience building and publishing reports using modern BI tools; experience with Tableau, Mode, or PowerBI strongly preferred.
- Clear and concise written communication, being able to explain a data discrepancy to a stakeholder without overwhelming them with technical jargon.
- Basic understanding of data warehousing concepts (Star Schema, Fact vs. Dimension tables).
What the job involves
- This position is an individual contributor who supports the end-to-end data lifecycle by taking defined business problems and turning them into clean, validated data assets.
- You will work under the guidance of a Senior Analyst and Manager to bridge the gap between 'raw data' and 'business answers.'
- You are the engine of execution — someone who has mastered the technical basics and is now navigating the complexities of business requirements and cross-functional collaboration.
- This is a 12 Month Fixed Term Contract (FTC) role based in our London.
- Assist in workshops with business/compliance teams to document user requirements, business rules, and reporting requirements.
- Create and maintain data dictionaries and source-to-target mapping documents to ensure everyone speaks the same 'data language.'
- Map out existing business processes to identify where data is captured and where it is missing.
- Write and optimise modular SQL queries to transform raw data into 'analyst-ready' tables.
- Perform initial exploratory data analysis (EDA) to flag inconsistencies, null values, or outliers to the Senior Analysts and Data Engineers.
- Run the primary tests for User Acceptance Testing (UAT), comparing expected outcomes against newly built solutions.
- Build and iterate on data visualizations (Tableau, Mode, PowerBI, etc.) based on business requirements, established wireframes, and functional specs.
- Monitor existing dashboards for performance issues or data freshness, troubleshooting and fixing logic errors as they arise.
Work Arrangement
- Location: London
- Schedule: 2-3 days a week in office
- Contract Type: 12 Month Fixed Term Contract
Data Analyst employer: Gofractional
Gofractional is an exceptional employer that prioritises a positive candidate experience and fosters a collaborative work culture in the heart of London. With a strong focus on employee growth, you will have the opportunity to enhance your skills while working with cutting-edge recruitment technologies. Join us to be part of a team that values kindness, innovation, and the continuous improvement of hiring practices.
StudySmarter Expert Advice🤫
We think this is how you could land 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 Gofractional 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 Gofractional.
✨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 Gofractional.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Gofractional, 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 Gofractional, 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 Gofractional’s attention and show the tangible impact of your work.
How to prepare for a job interview at Gofractional
✨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 Gofractional.
✨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 Gofractional.
✨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 Gofractional.
