At a Glance
- Tasks: Analyse data and create insights that drive decisions in the automotive industry.
- Company: Join a leading automotive research company making a real impact.
- Benefits: Competitive salary, generous holiday, health perks, and a supportive work environment.
- Other info: Flexible hybrid working model and a commitment to diversity and inclusion.
- Why this job: Gain hands-on experience while working with experienced professionals in a dynamic field.
- Qualifications: Degree in a relevant field and basic SQL knowledge preferred.
The predicted salary is between 30870 - 37630 £ per year.
Would you like to work for a company that makes a real difference in the automotive industry? We're looking for a Junior Data Analyst to join our Data & Development team, where you'll have the opportunity to develop your analytical skills, work with a variety of data assets, and contribute to solutions that support both internal teams and external customers. Working alongside experienced Data Analysts, Developers and Architects, you'll gain valuable hands‑on experience while contributing to the delivery of data solutions, data‑driven products and insights that make a real impact.
As a Junior Data Analyst, you'll:
- Analyse and interpret data to understand its structure, quality and business value.
- Support the creation of data‑driven insights, reports and analytical outputs for a range of stakeholders.
- Work closely with colleagues across the business to gather requirements and understand how data can support decision‑making.
- Contribute to the development and delivery of data solutions through data analysis, modelling activities and supporting documentation.
- Support and work within Agile delivery processes, helping to manage priorities, support sprint activities and deliver high‑quality outcomes.
- Participate in testing and quality assurance activities, including User Acceptance Testing, to ensure data solutions are accurate and reliable.
- Support data management activities such as data acquisitions, data reviews and ensuring data retention policies are followed.
- Learn from experienced colleagues while developing your technical, analytical and stakeholder engagement skills.
Skills & experience that will set you up for success in this role:
- A degree in Computer Science, Data Analytics, Mathematics, Statistics or a related discipline (or equivalent practical experience).
- Experience in writing basic SQL queries and an understanding of relational and non‑relational databases.
- A basic understanding of data analysis concepts and techniques.
- Strong analytical thinking skills and an eagerness to explore, interpret and learn from data and stakeholders.
- Strong communication skills and the ability to explain technical concepts in a clear, simple way.
- A proactive and curious approach, with a willingness to learn, ask questions and continuously develop your skills.
- A quality‑focused mindset with an interest in testing and validating data outputs.
- The ability to work collaboratively within cross‑functional teams and adapt to changing priorities.
- Exposure to Power BI, Python or other data analysis tools or coding languages would be beneficial, but isn't essential.
- Awareness of Agile delivery methodologies, version control and modern development practices would be advantageous.
Perks & Benefits:
- Salary - Circa £34,300 negotiable dependent on skills & experience.
- 10% non‑contributory pension.
- 29 days holiday (inclusive of Christmas shutdown) + public holidays.
- Group Life Assurance (equal to 4 x basic salary).
- Group Income Protection (after 6 months’ service).
- Salary Sacrifice schemes (cycle to work, home & tech scheme).
- Enhanced and competitive parental leave for all parents, regardless of gender or family structure.
- Moneyhealth’s Financial Coaching & Wellbeing Platform.
- Health Cash Plan (cash back on eligible medical treatments).
- Benenden Health Care (opt‑in benefit).
- Reward & Recognition Programme.
- Discounted gym membership.
- Sports & Social club.
- Payroll charitable giving.
- Subsidised on‑site restaurant.
- Free on‑site parking.
When we work:
Our standard working hours are 8:30 - 16:30 Monday - Thursday, early finish on Friday - 8:30 - 15:45 (Talk to us about flexible working if this doesn’t quite suit you – we take work‑life balance seriously!)
How we work:
We understand the benefits of remote and in‑person collaboration and therefore have a hybrid working model – you’ll be expected to work from our office in Thatcham at least two days per week.
What we do:
At the cutting edge of automotive research in the UK, Thatcham Research has a unique role in shaping the design of new vehicles and influencing ever higher standards of safety, security and repair. With an on‑site Crash Laboratory, Repair Technology Centre and Training Academy, our research expertise is driving some of the very latest automotive developments in technology, materials and standards in this fast moving and highly technical industry.
Our Values:
As an organisation that believes a strong set of Values are key to our organisational success and a sense of belonging for all colleagues, we ask that you understand, represent and apply our Values of Fearless, Inquisitive, Resourceful, Supportive and Trusted and demonstrate these Values throughout the recruitment process.
Our Commitment to Diversity, Inclusion & Belonging:
We are dedicated to fostering an inclusive workplace which values diversity and embraces each individual's authentic self. We are proud to champion a culture where colleagues freely share their diverse perspectives, recognising that these contribute to our innovative spirit. Our journey of growth and understanding is continuous as we actively invest in diversity training, workshops, and partnerships to ensure positive change.
Recruitment process:
We’re proud to manage our recruitment in-house and believe this direct approach enables us to give you the best possible Employee Experience we can – which starts right here, your application! We’re continuously striving to improve the candidate journey, and transparency (or communication) is a key area of focus – yes, even with salary & benefits.
What can you expect from our recruitment process?
- Regular updates on the progress / outcome of your application.
- An initial telephone screening call with a Talent Acquisition Partner.
- First interview with the hiring manager, usually via Teams.
- Second/Final interview, in-person at our office (we may give you a role specific task to present on!).
- Personalised feedback following your interview – because everyone deserves that!
- An opportunity to give us your honest feedback in a short survey on all of the above.
All applicants must have Right to Work in the UK. If you experience any technical issues when completing your application, please get in touch at people.team@thatcham.org and we’ll be happy to help. To ensure fairness and protect your data, we’re unable to accept applications or CVs via email. The best way to apply and to stay updated on your progress, is through our online application form.
Junior Data Analyst employer: Thatcham Research
Join a forward-thinking company that values innovation and collaboration, where as a Senior Azure Developer, you'll play a crucial role in shaping data solutions that drive impactful research. With a hybrid working model based in Thatcham, you’ll enjoy a supportive work culture that prioritises employee well-being, offering generous benefits such as a non-contributory pension, extensive holiday allowance, and opportunities for professional growth. Embrace the chance to work with cutting-edge technologies while being part of a team that celebrates achievements and fosters a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Thatcham Research.
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We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Thatcham Research, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Thatcham Research. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Thatcham Research
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Thatcham Research!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.