At a Glance
- Tasks: Analyse data to drive smarter business decisions and create impactful reports.
- Company: Join a leading car buying company with a strong culture and rapid growth.
- Benefits: Competitive salary, performance bonus, remote work, and ongoing learning opportunities.
- Other info: Collaborate with a high-performing data team and influence key business decisions.
- Why this job: Be part of a fast-growing tech company making a real difference in the industry.
- Qualifications: Advanced SQL skills and experience with Power BI or similar platforms.
Hybrid Tangmere, West Sussex, or fully Remote
£50k to £65k plus Performance Bonus
About Us
We are the clear market leader in our sector and one of the fastest growing car buying companies in the world. In the UK we generate over 100,000 customer enquiries each month and facilitate the purchase of thousands of vehicles through our high traffic websites and nationwide operations. We have now launched across the United States, with multiple states already operational and an ambitious plan to expand nationwide. Our rapid expansion and success have been driven by outstanding people, a strong culture, and our ability to lean into the advantages of cutting-edge technology. We are not a speculative startup. We have been established for over 15 years, are highly profitable, and have achieved this scale without external funding. Our target is bold: we are working towards a billion-dollar valuation within the next five years. Along the way, we want our growth to make a positive difference to others. We have already donated over £1 million to various charities.
The Opportunity
Reporting directly to the Head of Data, Pricing & Commercial Analytics, you will play a key role in helping the business make smarter, faster and more informed decisions through data. You will work across Product, Marketing, Commercial, Operations and Leadership teams, translating business questions into meaningful analysis, reporting and actionable insight. You will be comfortable navigating large and complex databases, understanding business logic, identifying edge cases and ensuring stakeholders can trust the data that drives decision making. This role would suit a commercially minded analyst who enjoys solving complex problems, challenging assumptions and continuously improving the way data is used across an organisation.
Key Responsibilities
- Develop a deep understanding of our products, systems, customer journeys and operational processes.
- Translate business requirements into robust reporting, analysis and data solutions.
- Design, build and maintain reporting suites, dashboards and visualisations using Power BI or equivalent BI platforms.
- Investigate data discrepancies, reporting issues and stakeholder queries, identifying root causes and implementing long-term fixes.
- Work with stakeholders to define metrics, KPIs and reporting frameworks.
- Analyse large datasets to identify trends, opportunities and areas for improvement.
- Support the design and implementation of new data models and reporting structures.
- Collaborate with developers and product teams to ensure data is captured and structured effectively.
- Validate calculations and business logic to ensure reporting accuracy.
- Identify edge cases, anomalies and data quality issues before they impact business decisions.
- Drive continuous improvement in reporting processes, automation and data accessibility.
Knowledge & Experience Required
- Advanced SQL experience including complex joins, CTEs, window functions, subqueries, aggregations and query optimisation.
- Experience working within mature and complex database environments.
- Ability to confidently navigate unfamiliar systems and understand how data flows between applications.
- Strong Power BI experience or equivalent business intelligence platform.
- Experience building dashboards and reports with a strong focus on usability and stakeholder adoption.
- Experience debugging data issues and resolving reporting discrepancies.
- Experience gathering requirements and translating business questions into meaningful metrics and reporting.
- Exposure to software development, programming or scripting languages such as Python, PHP, JavaScript or similar.
- Comfortable working with statistical concepts and applying them to real-world business problems.
- Strong understanding of data validation, reconciliation and quality assurance.
Person Specification
- Highly analytical with strong attention to detail.
- Naturally curious and enjoys solving complex problems.
- Able to identify inconsistencies, edge cases and logical flaws.
- Commercially minded and capable of challenging assumptions.
- Self-motivated with excellent time management skills.
- Comfortable learning new tools, technologies and methodologies independently.
- Strong communication and stakeholder management skills.
- Organised, methodical and dependable.
- Positive, pragmatic and solutions focused.
Why Join Apex8?
- Opportunity to join one of the fastest-growing technology-led businesses in our sector.
- Work alongside experienced leaders and a high-performing data team.
- Influence key commercial and product decisions across the organisation.
- Excellent company culture.
- Ongoing learning and development opportunities.
- Company pension scheme.
- Employee benefits programme.
- Company social events and team activities.
Senior Commercial Data Analyst in Tangmere employer: Scrap Car Comparison
Apex8 is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have the opportunity to work alongside experienced leaders in a high-performing data team, influencing key commercial decisions while enjoying a supportive culture that values ongoing learning and development. Located in Tangmere, West Sussex, or available for fully remote work, Apex8 provides competitive salaries, performance bonuses, and a range of employee benefits, making it an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Commercial Data Analyst in Tangmere
✨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 Scrap Car Comparison!
✨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 Senior Commercial Data Analyst at Scrap Car Comparison.
✨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 Scrap Car Comparison.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Commercial Data Analyst at Scrap Car Comparison, 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 Senior Commercial Data Analyst in Tangmere
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 Scrap Car Comparison, 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 Scrap Car Comparison. 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 Scrap Car Comparison
✨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 Scrap Car Comparison!
✨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.
