At a Glance
- Tasks: Analyse data and enhance processes to support strategic objectives in a dynamic environment.
- Company: Join Puig, a leading family-owned fashion and beauty company with a rich heritage.
- Benefits: Enjoy competitive pay, learning opportunities, and a creative work culture.
- Why this job: Make an impact by optimising data systems and driving commercial performance.
- Qualifications: Experience with data tools and strong communication skills are essential.
- Other info: Collaborate across teams and grow your career in an international setting.
The predicted salary is between 28800 - 48000 £ per year.
Puig is a major player in the worldwide fashion and beauty industry. We have a wide portfolio of well-known luxury brands across fashion, fragrance, makeup, skincare, and wellness. Founded more than 100 years ago, Puig is a family-owned company with a long-term commitment to our brands and stakeholders.
The Opportunity
We have an opportunity for a Data Analyst to join us, based in London as part of our Commercial team. This role combines business analysis expertise with strong data and system capabilities to enhance organisational processes and support strategic objectives. Acting as the UK Market Data Champion, this role engages frequently with global teams to analyse existing systems and datasets, identify areas for improvement, and design and implement robust solutions. This role will serve as a key liaison between Commercial teams, Business Analytics, and IT functions, ensuring a smooth integration between systems, tools, and reporting environments.
The role also oversees the analysis and optimisation of retail incentive schemes, ensuring commission and bonus programs are accurately monitored, well-structured, and aligned with business priorities. Working cross-functionally with HR, Finance, and Retail in order to deliver insights, reporting, and financial planning to support decision-making and drive commercial performance.
What you’ll get to do
- Analyse business and system requirements by engaging stakeholders and assessing current processes and IT architecture.
- Develop and propose new solutions or system enhancements, assessing both technical feasibility and business impact.
- Serve as the intermediary between business stakeholders and IT teams, ensuring solutions meet functional needs and technical standards.
- Coordinate implementation, testing, and quality assurance of new solutions, providing user support as needed.
- Produce and maintain documentation for requirements, findings, and solution designs.
- Safeguard data quality, consistency, and reliability across platforms.
- Become the subject-matter expert in key data sources including Power BI DTC, IRI, RSI.
- Monitor, track, and ensure visibility of data flows to enable timely and accurate reporting.
- Manage weekly sell-out data received from retailers and integrate it into internal tools for reporting and analysis.
- Work closely with the Business Analytics team to support producing accurate and impactful business insights.
- Provide visibility on data to secure the Business Analytics team deliver valuable insights.
- Calculate monthly commission and bonus payments in accordance with scheme rules and performance data.
- Partner with HR, Finance, and Retail to design and refine incentive models that drive performance.
- Maintain a calendar of incentive cycles, deadlines, and approval checkpoints.
- Communicate scheme mechanics, updates, and results to Retail Leadership and HR stakeholders.
- Oversee the monthly commission process, ensuring accuracy and compliance with KPIs and retailer agreements.
- Support preparing and analyse weekly and monthly KPIs for Beauty Advisors and Brand Ambassadors operating in wholesale environments.
- Provide month-end provisions and accruals with high accuracy and timeliness.
- Monitor performance versus forecast and explain variances to Finance and HR.
- Develop and maintain Standard Operating Procedures (SOPs) for scheme administration.
- Ensure compliance with internal controls, audit requirements, and GDPR standards.
We’d love to meet you if you have
- Proven experience in data management and multiple data tools such as Power BI, SAP, Microsoft Applications.
- Familiarity with financial planning, budgeting, and month-end processes.
- Experience working cross-functionally with HR, Finance, and Retail teams.
- Understanding of payroll processes and compensation structures.
- Desirable experience in incentive scheme analysis, preferably in a retail or sales-driven environment.
- Excellent communication and stakeholder management skills.
- Ability to manage multiple priorities in a fast-paced environment.
A few things you’ll love about us
- An entrepreneurial, creative and welcoming work culture.
- A range of learning and development opportunities.
- An international company with plenty of opportunities to grow.
- A competitive compensation & benefits package.
Puig is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, or any other characteristic protected by law.
Data Analyst in England employer: PUIG Deutschland GmbH
Contact Detail:
PUIG Deutschland GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in England
✨Tip Number 1
Network like a pro! Reach out to current employees at Puig or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you've used tools like Power BI in past roles, and think of examples that showcase your problem-solving abilities.
✨Tip Number 3
Show your enthusiasm for the brand! Research Puig’s portfolio and be prepared to discuss how your values align with their mission. This will help you stand out as a candidate who truly cares.
✨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, it shows you’re serious about joining the team.
We think you need these skills to ace Data Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with data management tools like Power BI and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background aligns with our needs at Puig. Don’t forget to mention your experience working cross-functionally with teams like HR and Finance.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. Whether it's optimising processes or enhancing systems, we love to see candidates who can think critically and propose effective solutions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at PUIG Deutschland GmbH
✨Know Your Data Tools
Make sure you brush up on your knowledge of data management tools like Power BI and SAP. Be ready to discuss how you've used these tools in past roles, as well as any specific projects where they made a significant impact.
✨Understand the Business
Familiarise yourself with Puig's portfolio and the fashion and beauty industry. Knowing their brands and how data analysis can drive commercial performance will show that you're genuinely interested and prepared for the role.
✨Prepare for Cross-Functional Questions
Since this role involves working with HR, Finance, and Retail teams, think about examples from your experience where you've successfully collaborated across departments. Highlight your communication skills and how you managed stakeholder expectations.
✨Showcase Problem-Solving Skills
Be ready to discuss how you've identified areas for improvement in previous roles and the solutions you proposed. Use specific examples to illustrate your analytical thinking and ability to implement effective changes.