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- Tasks: Analyse data, build reports, and provide insights to drive business performance.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous improvement and learning.
- Why this job: Make an impact by transforming data into actionable insights for key stakeholders.
- Qualifications: Strong Excel, SQL skills, and a passion for data analysis required.
The predicted salary is between 45000 - 55000 £ per year.
Requirements
- Advanced Excel: Lookups, pivot tables, power queries, formulas, dashboards.
- Familiarity with Azure (preferably Azure SQL, pipelines, Data Factory, or storage services).
- Strong SQL: Ability to query, manipulate, join, cleanse, and analyse large tables.
- Understanding of Data Flows: Knowledge on how data moves through systems, APIs, tables, and reporting layers.
- Ability to build or update dashboards, measures, and visual reports in Power BI (bonus).
- Strong analytical skills with the ability to review large and complex data sets quickly and accurately.
- Strong problem-solving and troubleshooting ability.
- Experience working with operational, financial, and commercial datasets.
- Highly organised, able to manage multiple tasks and deadlines.
- Strong attention to detail with a desire to improve processes.
- Good communication skills, able to translate data into simple business language.
- Proactive and curious mindset with a drive for continuous improvement.
- Experience in a finance, automotive, or insurance environment (desirable).
- Exposure to commercial performance reporting (e.g., funnels, conversion rates, revenue) (desirable).
- Experience with API-driven platforms or lead-generation data flows (desirable).
- Background in data science, mathematics, economics, or similar analytical field (desirable).
Responsibilities
- Build, maintain, and automate daily, weekly, and monthly performance reports for Directors and senior stakeholders.
- Produce insights on lender performance, conversion funnels, commissions, and commercial targets.
- Carry out monthly profitability reviews and highlight actions to maximise revenue.
- Provide clear summaries of trends, issues, and opportunities based on multi-source data sets.
- Manage and quality check large datasets from internal systems and external platforms.
- Understand end-to-end data flows across systems (AutoConvert, SQL Server, Power BI, Excel, Azure).
Data Scientist in Holytown employer: CarMoney
Contact Detail:
CarMoney Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Holytown
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, and any cool analyses you've done. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist in Holytown
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced Excel skills and SQL expertise in your application. We want to see how you can query, manipulate, and analyse data like a pro!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use simple language to explain complex data concepts. We appreciate good communication skills, so show us you can translate data into business language!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at CarMoney
✨Master Your Tools
Make sure you're well-versed in advanced Excel features like lookups, pivot tables, and dashboards. Practise using Azure SQL and Power BI to showcase your ability to manipulate and visualise data effectively during the interview.
✨Know Your Data Flows
Brush up on how data moves through systems, APIs, and reporting layers. Be prepared to discuss specific examples of how you've managed or improved data flows in previous roles, as this will demonstrate your understanding of the end-to-end process.
✨Showcase Your Analytical Skills
Prepare to talk about your experience with large datasets and how you've used your analytical skills to derive insights. Bring examples of past projects where you identified trends or solved complex problems, as this will highlight your problem-solving abilities.
✨Communicate Clearly
Practice translating complex data into simple business language. During the interview, focus on how you can communicate insights effectively to stakeholders, as strong communication skills are key for this role.