At a Glance
- Tasks: Analyse data to answer business questions and develop actionable insights.
- Company: Join a rapidly growing automotive marketplace with a fun, inclusive culture.
- Benefits: Up to £50,000 salary, stock options, flexible working, and generous holiday.
- Other info: Opportunity for professional development and team retreats.
- Why this job: Make a real impact in a dynamic environment while enjoying your work.
- Qualifications: Experience in data analysis and strong collaboration skills.
The predicted salary is between 36000 - 60000 £ per year.
About You
You are a Data Analyst who has real curiosity when it comes to answering business questions with data. You enjoy finding hidden patterns and relationships. You look for the right tools for a given job - rather than just using what you are used to. You enjoy working collaboratively with a wide range of stakeholders across the business. You take an interest in the wider business context and independently identify areas where data and analytics could deliver value. You have a passion for learning and are always looking for opportunities to hone your craft.
About The Role
You will be responsible for answering both day-to-day and longer-term, strategic questions with data, analysing data and processes, developing analytics data flows, dashboards and reporting, and distilling actionable insights on core business metrics. Reporting directly to the Head of Data, you will work across Arsenault to add critical analytical horsepower to ensure we are making data-driven decisions, and using insights to improve efficiency and customer experiences.
Arsenault is one of the largest automotive marketplaces in the world. We are lucky to have thousands of user-generated listings submitted monthly with content gems from James Bond's Aston DB5 to Elvis Presley's Cadillac. The site is old, launched in 2005 but under new, VC-backed ownership since 2018 and on an exciting triple-digit growth journey to bring classic vehicle transactions online.
Our culture is incredibly important to us. We are lucky enough to have built the team from scratch with a focus on enjoying the day-to-day, diversity, inclusion and high performance. Despite being an entirely distributed business we build strong connections as colleagues and have created a fun and high-performing culture. Whilst the team is only 100 people now we expect to double over the next 12 months. We are looking for a Data Analyst that has good, relevant experience and wants to make their mark in a rapid-growth business where they can make a real difference, whilst enjoying the environment and culture. Finally, you do not have to love cars to work here (and lots of our team do not) but for those who do this is an incredible opportunity to combine your passion and professional lives.
Role And Responsibilities
- Working proactively with stakeholders to understand data requirements, converting these into structured analytical hypotheses and output and using these to help identify areas where we can drive business performance and growth.
- Building innovative and scalable analytical solutions which solve real business problems.
- Working to optimise our analytics infrastructure and analytics data pipelines using a range of technologies.
- Identifying new data sources which could deliver business value and working with other technical stakeholders to ingest and transform this into analytics-ready modelled datasets.
- Confidently delivering the results of your work to technical and non-technical stakeholders to influence decision-making in a way which ensures that business decisions are data-driven and evidence-based.
- Being closely involved with the identification, procurement and implementation processes for new technologies such as BI/reporting tools, observability platforms etc.
What do you get (remuneration & benefits)?
- Salary up to £50,000 (dependent on experience)
- Stock options
- All the equipment you need to get the job done
- Flexible working - work where and when you want in order to get the job done
- Access to free counselling, therapy and mental health support via Spill
- Professional development allowance
- Company-paid team retreats
- Income Protection
- Life Cover
- Generous parental leave
- 33 days holiday
Data Analyst - 100% Remote in Glasgow employer: Arsenault
Arsenault is an exceptional employer for Data Analysts, offering a fully remote work environment that fosters collaboration and innovation. With a strong emphasis on diversity, inclusion, and high performance, employees enjoy a supportive culture that prioritises personal growth and professional development. The company provides generous benefits, including stock options, flexible working arrangements, and access to mental health support, making it an ideal place for those looking to make a meaningful impact in a rapidly growing industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - 100% Remote in Glasgow
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Arsenault!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst - 100% Remote at Arsenault.
✨Leverage Professional Networks
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 Arsenault.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - 100% Remote at Arsenault, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst - 100% Remote in Glasgow
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 Arsenault, 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 Arsenault. 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 Arsenault
✨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 Arsenault!
✨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.
