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- Tasks: Analyse data to drive commercial decisions and optimise revenue.
- Company: Join Smallworld Accessories, a supportive and inclusive workplace.
- Benefits: Enjoy hybrid work, extra leave for your birthday, and professional development opportunities.
- Why this job: Make a real impact while developing your skills in a dynamic environment.
- Qualifications: Bachelor’s degree in a quantitative field and 2+ years of relevant experience required.
- Other info: Opportunity to explore Generative AI tools for enhanced analytics.
The predicted salary is between 45000 - 55000 £ per year.
The Commercial Data Analyst will play a critical role in delivering data-driven insights that drive commercial decision making across the business. This position involves analysing key datasets, identifying business trends, forecasting performance, and providing actionable recommendations, in order to optimise revenue, profitability, and operational efficiency.
Key Responsibilities/Results areas:
- Develop and Analyse Key commercial performance metrics, across sales, product inventory, and cost of sales, enabling the understanding of changes in key performance indicators over time, and providing an improved view of store and brand profitability and margins.
- Develop and maintain monthly dashboards and reports to monitor KPIs and provide real-time visibility to stakeholders.
- Initiate, manage and deliver analytical projects and reporting, within the framework of supporting commercial business decision making based upon KPIs.
- Deliver ad hoc and regular data-driven insights to support strategic initiatives and investment decisions.
- Manage and conduct regular reporting and post-season analysis, delivering actionable insights and recommendations.
- Collaborate closely with the Commercial and Finance teams to understand evolving business needs and translate them into analytical solutions.
- Develop and ensure data quality, accuracy and consistency across all reporting outputs.
- Work closely with the Finance Director in order to determine potential data analytics improvement options, including the potential for new ERP system development.
- Responsible for researching and developing the possibilities for the use of Generative AI tools, in order to provide analytics on large datasets in a more efficient and user-friendly manner.
- Be able to present key findings and recommendations clearly and effectively to non-technical stakeholders.
Skills and Qualifications - Required:
- Bachelor’s degree in a quantitative field such as Economics, Mathematics, Business, or Computer Science.
- 2+ years of experience in a data analyst, business analyst, or commercial analyst role.
- Strong proficiency in data analysis tools (e.g. Excel, Python, SQL), and experience with data visualisation tools such as Power BI.
- Solid understanding of business and commercial concepts, including revenue analysis and margin optimisation.
- Ability to extract insights from large, imperfect datasets and communicate them effectively.
- Strong problem-solving skills and attention to detail.
- Good communicator, comfortable working with stakeholders cross-functionally and at all levels of the business.
- Inquisitive by nature, and excited by a challenge, with an interest in driving improvements.
Skills and Qualifications - Desirable:
- Experience of SAP Crystal reporting.
- Experience with ERP or Stock Management systems.
- Background in a commercial or B2B/B2C environment.
- A working knowledge of the current Generative AI tools with strong data analytics potential.
Key Competencies:
- Commercial acumen.
- Analytical thinking and data literacy.
- Curiosity and proactive problem solving.
- Results-orientated.
- Stakeholder communication and influence.
- Adaptability and initiative.
Why Join Us?
At Smallworld Accessories, we are committed to creating an inclusive and supportive work environment where everyone can thrive. As a member of our team, you will have the opportunity to develop your skills, grow professionally, and make a meaningful impact. We also offer a range of exciting benefits:
- Company Sick Pay (after 6 months of service).
- Workplace Pension.
- Parking Available On Site.
- An extra day of annual leave for your birthday and service milestones.
- Employee Assistance Program.
- Access to the company lifestyle, savings and wellbeing platform.
- Opportunity for Learning & Development support in order to maximise the performance in the role and develop the appropriate skills required.
Company: Smallworld Accessories LTD
Type: Full-Time, Hybrid
Salary: £45,000 - £55,000 DOE
Commercial Data Analyst employer: Smallworld Accessories Limited
Contact Detail:
Smallworld Accessories Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Data Analyst
✨Tip Number 1
Familiarise yourself with the key data analysis tools mentioned in the job description, such as Excel, Python, and SQL. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical skills during interviews.
✨Tip Number 2
Brush up on your understanding of commercial concepts like revenue analysis and margin optimisation. Being able to discuss these topics intelligently will show that you can contribute to the business's financial goals.
✨Tip Number 3
Prepare to showcase your problem-solving skills by thinking of examples where you've successfully analysed data to drive business decisions. This will help you illustrate your analytical thinking during the interview process.
✨Tip Number 4
Since collaboration is key in this role, think about how you can effectively communicate complex data insights to non-technical stakeholders. Practising this skill will make you stand out as a candidate who can bridge the gap between data and decision-making.
We think you need these skills to ace Commercial Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Commercial Data Analyst role. Emphasise your proficiency in data analysis tools like Excel, Python, and SQL, as well as any experience with data visualisation tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical thinking and problem-solving skills. Mention specific examples of how you've used data to drive commercial decisions in previous roles, and express your enthusiasm for the opportunity at Smallworld Accessories.
Highlight Relevant Projects: If you have worked on any analytical projects or reports, be sure to include these in your application. Detail your role in these projects and the impact they had on business outcomes, particularly in terms of revenue optimisation and performance forecasting.
Showcase Communication Skills: Since the role involves presenting findings to non-technical stakeholders, demonstrate your communication skills in your application. Provide examples of how you've effectively communicated complex data insights to diverse audiences in the past.
How to prepare for a job interview at Smallworld Accessories Limited
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis tools like Excel, Python, and SQL. Bring examples of how you've used these tools to derive insights from large datasets, as this will demonstrate your capability to handle the responsibilities of the role.
✨Understand the Business Context
Familiarise yourself with commercial concepts such as revenue analysis and margin optimisation. Being able to relate your analytical skills to real business scenarios will show that you understand the bigger picture and can contribute effectively.
✨Prepare for Stakeholder Communication
Since the role involves presenting findings to non-technical stakeholders, practice explaining complex data insights in simple terms. This will highlight your communication skills and ability to influence decision-making across different levels of the business.
✨Demonstrate Curiosity and Problem-Solving
During the interview, express your inquisitive nature and excitement for tackling challenges. Share examples of how you've proactively solved problems in previous roles, as this aligns with the company's values and the competencies they seek.
