Data Analyst

Data Analyst

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data and enhance business processes to support strategic objectives.
  • Company: Join a dynamic international company based in London with a creative culture.
  • Benefits: Competitive salary, learning opportunities, and a welcoming work environment.
  • Why this job: Make an impact by optimising data systems and driving commercial performance.
  • Qualifications: Experience with data tools and strong communication skills required.
  • Other info: Great career growth potential and cross-functional collaboration.

The predicted salary is between 36000 - 60000 £ per year.

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.

The Opportunity

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.

We offer

  • 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.

Data Analyst employer: PUIG

Join our dynamic team in London as a Data Analyst, where you'll thrive in an entrepreneurial and creative work culture that values innovation and collaboration. We offer extensive learning and development opportunities, competitive compensation, and a chance to grow within an international company, making it an ideal environment for those seeking meaningful and rewarding employment.
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Contact Detail:

PUIG Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to insider info about job openings that aren't even advertised yet.

✨Tip Number 2

Prepare for interviews by practising common data analyst questions. Think about how your skills align with the role, especially around tools like Power BI and SAP. We want you to shine when it’s your turn to impress!

✨Tip Number 3

Showcase your analytical skills in real-time! If you get a chance, ask for a case study or a practical task during the interview. This is your moment to demonstrate how you can tackle real-world problems.

✨Tip Number 4

Don’t forget to follow up after your interview! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s a great way to reiterate why you’re the perfect fit for the team.

We think you need these skills to ace Data Analyst

Data Management
Power BI
SAP
Microsoft Applications
Business Analysis
Stakeholder Management
Financial Planning
Budgeting
Incentive Scheme Analysis
Cross-Functional Collaboration
Data Quality Assurance
Documentation Skills
Analytical Skills
Problem-Solving Skills
Communication Skills

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 Commercial 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. 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 identified areas for improvement in past roles. We love candidates who can think critically and propose robust solutions, so share those success stories with us!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!

How to prepare for a job interview at PUIG

✨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 Context

Familiarise yourself with the company's commercial objectives and how data analysis supports them. Think about how you can contribute to enhancing organisational processes and driving performance through your insights.

✨Prepare for Cross-Functional Collaboration

Since this role involves working closely with HR, Finance, and Retail teams, be prepared to share examples of how you've successfully collaborated across departments in the past. Highlight your communication skills and ability to manage stakeholder expectations.

✨Showcase Your Problem-Solving Skills

Be ready to discuss specific instances where you've identified areas for improvement in existing systems or processes. Think about how you approached these challenges and the solutions you implemented, as this will demonstrate your analytical mindset.

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