At a Glance
- Tasks: Take ownership of data, reporting, and insights to drive business effectiveness.
- Company: Leading consumer-focused organisation with a collaborative remote culture.
- Benefits: Competitive daily rate, fully remote work, and hands-on experience.
- Other info: Exciting opportunity for career growth in a dynamic, data-driven environment.
- Why this job: Make a real impact by automating processes and delivering valuable insights.
- Qualifications: 2-4 years in Data Analysis with strong SQL, Tableau, and Excel skills.
The predicted salary is between 31500 - 38500 £ per year.
We’re partnered exclusively with a leading consumer-focused organisation who are looking for a Contract Data Analyst with around 2–4 years’ experience to join the business and take ownership of key data, reporting and insight activities. This is a hands-on, midweight Contract Data Analyst role for someone who enjoys being close to the data and making sure the business has the information it needs to operate effectively. You’ll keep reporting and data processes running, build and automate recurring reports, respond to ad hoc data requests, extract data from the warehouse and work with teams across the business to turn requirements into practical solutions.
Key Responsibilities:
- 2–4 years’ experience in Data Analysis, MI, Reporting or a similar hands-on role, with strong SQL skills
- Experience working with Snowflake or another data warehouse, including data sources, ETL and data pipelines
- Strong Tableau and Excel skills, with experience building and automating recurring reports
- Comfortable handling ad hoc data requests, extracting data from the warehouse and delivering accurate analysis to stakeholders
- Experience working with customer data, segmentation, CRM or marketing campaigns
- Commercially minded, able to understand stakeholder requirements and advise on the best data or reporting solution
- Proactive and hands-on, able to troubleshoot data/reporting issues and take ownership of keeping key processes running
- Curious, organised and solutions-focused, with the ability to improve existing processes, automate manual work and turn data into useful business insight
Contract Details:
- £250–£275/day
- 3–6 month contract
- Outside IR35
- Fully remote – UK, On-site required for onboarding in North-west England
- Start w/c 21 September
- Must be available to interview early next week
This is a great opportunity for a hands-on midweight Data Analyst who wants to take ownership, keep the data and reporting function running, automate processes and work closely with the wider business.
Locations
Contract Data Analyst (Mid-level) in Hampshire, Portsmouth employer: Few&Far
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StudySmarter Expert Advice🤫
We think this is how you could land Contract Data Analyst (Mid-level) in Hampshire, Portsmouth
✨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 Few&Far 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 Few&Far.
✨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 Few&Far.
We think you need these skills to ace Contract Data Analyst (Mid-level) in Hampshire, Portsmouth
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Few&Far, 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 Few&Far, 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 Few&Far’s attention and show the tangible impact of your work.
How to prepare for a job interview at Few&Far
✨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 Few&Far.
✨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 Few&Far.
✨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 Few&Far.
