At a Glance
- Tasks: Analyse data to drive sales and customer insights for our Aesthetic Division.
- Company: Join a leading company in the aesthetic industry with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a chance to work with senior leadership teams.
- Why this job: Make a real impact by transforming data into actionable strategies for success.
- Qualifications: 3+ years of analytical experience and proficiency in Power BI and Excel.
The predicted salary is between 50000 - 65000 £ per year.
Job Location: London, UK
Purpose of the Job: To support the three business units in maximising all opportunities for profitable sales through data analytics of performance and potential. Gathering, analyzing, and interpreting data to provide intelligence, insights and tactics to enable head office and field force teams in achieving business objectives.
Responsibilities:
- Support the organisation in achieving its strategic objectives by identifying and documenting business requirements in collaboration with internal stakeholders.
- Translate business requirements into actionable projects or initiatives by analysing quantitative and qualitative data, to identify trends, patterns, and insights to enable informed decision making.
- Evaluate current business processes and practices for potential improvement, and implement solutions to optimise efficiency, productivity, and profitability.
- Create and design solutions, which may involve recommending changes to processes, systems, or software to address current and future business needs.
- Lead cross-functional analytical projects, encompassing detailed documentation and communication between different teams to execute project goals and requirements.
- Implement and execute quantitative analyses of customer databases and external data sources to develop data-driven insight into customers, their behaviours, buying preferences and patterns through ongoing support and solutions.
- Lead all Business Unit data analysis, both for ex-factory and sales registered out to the market, providing data insights to the UK and Global Senior Leadership Teams.
- Create monthly performance reports in line with defined metrics, presenting status, risks and recommendations to business leaders.
- Maintain data quality, metrics, reports and administration of third party data warehouse.
Key Skills / Experience Required:
- Minimum 3 years analyst experience.
- Proficient in Power BI and Microsoft Office Suite, in particular Excel.
- High level of presentation and communication skills.
- Demonstratable ability to interpret, manipulate and granularise data in its raw form.
Sales & Customer Analytics Manager - Aesthetic Division employer: Galderma
As a Sales & Customer Analytics Manager in our Aesthetic Division based in London, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages personal growth, making it an ideal place for those seeking meaningful and rewarding employment in the analytics field.
StudySmarter Expert Advice🤫
We think this is how you could land Sales & Customer Analytics Manager - Aesthetic Division
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their products and services, especially in the Aesthetic Division, so you can show how your skills align with their goals.
✨Tip Number 3
Practice your data storytelling! Be ready to explain how you've used analytics to drive sales or improve processes in past roles. Use real examples to demonstrate your impact and insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Sales & Customer Analytics Manager - Aesthetic Division
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Sales & Customer Analytics Manager role. Highlight your experience with data analytics and any relevant projects you've worked on that align with the job description.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've used Power BI and Excel in past roles to drive insights and improve business processes. We want to see your analytical prowess!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about this role and how your background makes you the perfect fit. Be sure to mention your ability to communicate complex data insights clearly.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Galderma
✨Know Your Data Inside Out
As a Sales & Customer Analytics Manager, you'll be knee-deep in data. Make sure you brush up on your analytical skills and be ready to discuss how you've used data to drive sales or improve processes in the past. Be prepared to share specific examples that highlight your ability to interpret and manipulate data effectively.
✨Showcase Your Power BI Skills
Since proficiency in Power BI is key for this role, we recommend you prepare a mini portfolio of dashboards or reports you've created. During the interview, you can walk them through your work, explaining your thought process and how it contributed to business objectives. This will demonstrate your hands-on experience and technical prowess.
✨Communicate Clearly and Confidently
Strong presentation and communication skills are essential. Practice explaining complex data insights in simple terms. You might even want to rehearse with a friend or family member who isn’t familiar with analytics. This will help you refine your ability to convey important information clearly and confidently during the interview.
✨Prepare for Cross-Functional Collaboration Questions
Given the collaborative nature of the role, expect questions about working with different teams. Think of examples where you've successfully led cross-functional projects or communicated effectively with stakeholders. Highlight your ability to document requirements and translate them into actionable insights, as this will show you're ready to hit the ground running.
