At a Glance
- Tasks: Ensure data accuracy and quality control for insightful analysis.
- Company: Consumer Intelligence, a dynamic and inclusive data-driven company.
- Benefits: Competitive salary, flexible working options, and potential for permanent role.
- Other info: Open to diverse backgrounds; we value passion over experience.
- Why this job: Kickstart your data analysis career in a supportive and curious environment.
- Qualifications: Attention to detail, problem-solving skills, and good communication.
The predicted salary is between 22000 - 25000 £ per year.
At Consumer Intelligence, data anomalies aren’t just mistakes; they’re curiosities. The integrity of our insight, and the value of the data we collect, relies on our Data Services’ team maintaining a high standard of quality control. During this 6-month fixed term contract, you’ll be responsible for helping us ensure the data which powers our insight is accurate, and that anomalies and issues are promptly shared in the business to generate even more insight. You’ll help to manage day to day collections, oversee macro performance, and quality check large amounts of data collected from various sources. To do this well, you should be highly detail focussed, meticulous, and curious. This role is a great way to enter the world of data analysis, and is suitable for someone who wants to be a steady pair of hands in a small yet dynamic business.
What you’ll do:
- Implement processes for the preparation, execution and quality checking of data collection cycles for benchmarking data
- Periodically updating reference data sets such as vehicles, occupations and pet breeds
- Maintain process documentation for areas where you take primary responsibility
- Day to day liaison and issue resolution with support teams
- Execute processes using company tools to deliver projects for clients
What you’ll need:
- Exceptional attention to detail
- Natural problem-solver
- Strong communications skills (written and oral)
- Good interpersonal skills
- A readiness to ask questions and to challenge the status quo
- Confident Microsoft Office suite user
- Strong technical/analytical abilities
- Ability to manage and work with large data sets
- Experience with Power BI and/or knowledge of the insurance market is advantageous
You don’t need to meet all the above criteria to be a great candidate for this role! We’re looking for passionate and motivated people to make this role their own; if you have less or more direct experience in the areas relevant to this role we’d encourage you to put forward your interest.
This is role is a 6-month fixed term contract, on a full time basis (37.5 hours per week), with the possibility of extension and/or conversion to a permanent role, and a salary of £22,000 to £25,000 per annum depending on the successful candidate. We are based in Bristol and are happy to accommodate hybrid or remote working as part of our output only working practices.
As an equal opportunities’ employer, we are committed to the equal treatment of all current and prospective employees and do not tolerate discrimination in any form. If you would like to read more about how we protect the integrity of our recruitment process, take a look at our inclusive recruitment policy, available on our website. If you would like to talk to us about any adjustments or other requirements you may have that will enable you to be best supported through your application and beyond, please contact our Head of People & Culture, Alice, by emailing.
We aspire to have a diverse and inclusive workplace and we strongly encourage suitably qualified applicants from a wide range of backgrounds, or with different experiences and attributes, to apply and join our team.
Data Services Assistant employer: Consumer Intelligence
At Consumer Intelligence, we pride ourselves on fostering a collaborative and inclusive work environment where every team member's contributions are valued. As a Data Services Assistant in our vibrant Bristol office, you'll not only gain invaluable experience in data analysis but also benefit from flexible working arrangements and opportunities for professional growth within a supportive team. Join us to be part of a company that champions curiosity and quality, ensuring your role is both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Services Assistant
✨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 Consumer Intelligence 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 Consumer Intelligence.
✨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 Consumer Intelligence.
We think you need these skills to ace Data Services Assistant
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Consumer Intelligence, 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 Consumer Intelligence, 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 Consumer Intelligence’s attention and show the tangible impact of your work.
How to prepare for a job interview at Consumer Intelligence
✨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 Consumer Intelligence.
✨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 Consumer Intelligence.
✨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 Consumer Intelligence.
