At a Glance
- Tasks: Analyse data to drive commercial performance and support key business decisions.
- Company: Join a well-established UK PLC known for innovative customer experiences.
- Benefits: Competitive salary, supportive environment, and excellent career development opportunities.
- Other info: Hybrid working model with one to two onsite days per week.
- Why this job: Make an impact by turning data into actionable insights in a fast-paced setting.
- Qualifications: Experience in commercial analysis, strong analytical skills, and proficiency in Excel and Power BI.
The predicted salary is between 35000 - 45000 £ per year.
This role represents an excellent opportunity to join a data-led commercial function focused on delivering astute analysis and actionable insight to drive commercial and operational performance. Working within a fast-paced environment, you will support key business decisions through forecasting, pricing analysis, customer and market insight, and performance reporting. Partnering with commercial, finance and operational stakeholders, you will help identify opportunities to optimise revenue, improve efficiency and support strategic growth initiatives.
Key Responsibilities
- Analyse revenue performance and identify opportunities to optimise revenue streams through detailed analysis and forecasting.
- Analyse business activity data, including new demand, repeat business, customer behaviour and competitor activity, providing actionable insights to senior stakeholders.
- Deliver revenue and pricing analysis to support commercial strategy, maximise available inventory and identify new market opportunities.
- Provide insight into broader market conditions, including economic and external factors that may influence demand and trading performance.
- Review business plans, identify performance gaps and support the development of strategies to maximise capacity and achieve revenue targets.
- Monitor competitor activity and market trends, making informed recommendations to support effective decision-making.
- Produce regular and ad hoc commercial reporting, ensuring stakeholders have access to accurate and timely performance information.
Skills & Experience
- Proven experience in a Commercial Analyst or similar analytical role, with the ability to translate data into meaningful business insights and recommendations.
- Strong analytical capability, with experience applying forecasting techniques to large and complex datasets.
- Experience within forecasting, revenue management, pricing, customer analytics or similar commercial analytical environments.
- Advanced Microsoft Office skills, particularly Excel.
- Experience using Power BI and ideally SQL.
- Ability to present complex data and insights to non-technical stakeholders in a clear and engaging manner.
- Strong understanding of key business performance indicators, market trends and competitive analysis.
- Excellent organisational skills with the ability to manage multiple priorities and deadlines effectively.
- Comfortable working in a fast-paced environment with changing business demands.
You will be joining a well-established UK PLC, known for delivering innovative customer experiences. In return, the role offers a competitive salary, a supportive working environment and excellent opportunities for career development. The analytics hub is based in Leeds, operating a hybrid model with typically one to two onsite days per week.
Please note: this role does not offer visa sponsorship. Applicants must have the right to work in the UK both now and in the future.
Commercial Data Analyst TRAVEL in Leeds employer: MSA Data Analytics Ltd
Join a well-established UK PLC that champions innovation and customer experience, offering a dynamic work culture where data-driven insights fuel strategic growth. As a Commercial Data Analyst in Leeds, you'll benefit from a competitive salary, a supportive environment, and ample opportunities for career advancement, all while enjoying the flexibility of a hybrid working model. This role not only allows you to make impactful contributions but also fosters your professional development in a fast-paced, collaborative setting.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Data Analyst TRAVEL in Leeds
✨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 MSA Data Analytics Ltd!
✨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 Commercial Data Analyst TRAVEL at MSA Data Analytics Ltd.
✨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 MSA Data Analytics Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Commercial Data Analyst TRAVEL at MSA Data Analytics Ltd, 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 Commercial Data Analyst TRAVEL in Leeds
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 MSA Data Analytics Ltd, 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 MSA Data Analytics Ltd. 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 MSA Data Analytics Ltd
✨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 MSA Data Analytics Ltd!
✨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.
