At a Glance
- Tasks: Provide analytical support and implement automation solutions for research projects.
- Company: Join Which?, the UK's consumer champion, promoting fairness and safety.
- Benefits: Competitive salary, 28 days holiday, excellent pension scheme, and hybrid working.
- Other info: Flexible working options and a commitment to diversity and inclusion.
- Why this job: Make a real impact in research while enjoying a great work-life balance.
- Qualifications: Experience in research data analysis and proficiency in analytical software like Python or SQL.
The predicted salary is between 35000 - 38000 £ per year.
This role offers a competitive salary, hybrid working (London office, Tuesdays and some Thursdays in the office), 28 days holiday a year plus Bank Holidays and a fantastic pension scheme offering 6% in year one and 11% after this. Salary £35,000 – £38,000 per annum.
About the role:
To provide analytical support and advice to colleagues in Content and other departments with specific responsibility for identifying, designing, and implementing analytical and automation solutions, whilst supporting the Consumer Content Research & Data team delivering their research needs.
Key responsibilities include:
- Champion the proper use of analytical techniques, automation and data visualisations for the benefit of the organisation.
- Work closely with Consumer Researchers to design research, process data and apply analytical techniques to provide value to the outputs and deliver efficiencies.
- Manage and take ownership of quantitative projects, ensuring results are meaningful and communicated effectively within agreed time and cost limits.
- Design scalable automated data collection pipelines and processing of large-scale online data to support organisational needs (i.e., web scraping).
- Deliver, support and check the analytical outputs of the Content team - and in some cases of other teams - to ensure that they are accurate and robust.
About you:
- Experience working in research and with research data.
- Degree with appropriate research / analytical experience (such as exploratory data analysis, quantitative research methods, or equivalent) or equivalent experience.
- Analytical software experience (e.g., Python, R, SQL, or equivalent).
- Experience of automated data collection from websites (e.g., webscraping).
- Experience of using survey scripting software, such as Qualtrics or equivalent.
The interview process for this role involves:
- Analytical/ programming task to deliver ahead of the interview (this will be sent approx 3 days before by the hiring manager). Please be prepared to talk about the task for 15 minutes during the interview.
- Initial one hour and 15 minute interview via MS Teams.
- If there is a tie break situation, we may conduct a follow-up interview.
Interviews are expected to commence from Monday 24th August.
Benefits:
- 35 hour working week.
- Generous 28 days holiday a year plus Bank Holidays & Option to buy additional days.
- Excellent pension scheme – when you pay in 3%, Which? pays in 6% (rising to 11% after one year of service).
- Discount site Pluxee which offers large % off every day shopping and holidays.
- Annual Award (depending on employee and company performance).
- Healthcare insurance & Private medical insurance and opportunity to participate in Vitality rewards programme (at 6 months).
- A discretionary death in service benefit provision equivalent to six times your annual salary.
- Free access to Which? member content and free access to Which? money & legal helplines.
- Free wills for all Which? employees, plus, partners of employees can make their will at cost price.
- Work from (almost) anywhere” for 4 weeks of the year policy.
- A great work-life balance (all our roles are now hybrid), offering flexible working options e.g. part time or job shares where possible.
About Which?:
Which? is the UK's consumer champion, here to make life simpler, fairer and safer for everyone. You can find out more about what we do, our people and culture as well as hints and tips on how to complete your application on our Careers site.
We're proud to be ranked 3rd in the ‘Top 25 Inclusive Employers' List 2024. We welcome applications from everyone, because we value diversity, and are committed to maintaining an inclusive culture where all can thrive and reach their full potential—because diverse perspectives help us better understand and positively impact consumers.
As a Disability Confident Leader, we ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them.
Please note: You must meet the essential criteria listed within the Role Profile, to have your application reviewed.
Research Analyst FTC 12 months in London employer: Which?
Which? is an exceptional employer that prioritises employee well-being and professional growth, offering a competitive salary, generous holiday allowance, and a robust pension scheme. With a hybrid working model and a strong commitment to inclusivity, employees are encouraged to collaborate and innovate within a supportive environment, making it an ideal place for those looking to make a meaningful impact in user research while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Research Analyst FTC 12 months in London
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We think you need these skills to ace Research Analyst FTC 12 months in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Which?, 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 Which?, 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 Which?’s attention and show the tangible impact of your work.
How to prepare for a job interview at Which?
✨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 Which?.
✨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 Which?.
✨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 Which?.
