At a Glance
- Tasks: Drive data analysis to uncover insights and support decision-making in the fashion retail industry.
- Company: Join COS, a brand known for quality and innovative design in fashion.
- Benefits: Enjoy a 25% staff discount, flexible working, and extensive development opportunities.
- Why this job: Be at the forefront of data analytics in a dynamic and creative environment.
- Qualifications: Experience in data analysis, strong communication skills, and proficiency in SQL and analytical tools.
- Other info: Collaborate with diverse teams and contribute to an inclusive workplace culture.
The predicted salary is between 36000 - 60000 £ per year.
Company Description
COS offers a wardrobe of ready-to-wear and accessories rooted in exceptional quality and lasting design. The creative soul of the brand is fuelled by a deep connection to modern culture, dynamic global cities and compelling fashion movements. With an emphasis on expert craftsmanship, innovation and materiality, collections are created with a mindful approach, seamlessly blending contemporary and timeless.
Job Description
If you are passionate about data and eager to tackle some of the most interesting data analytics use cases in the fashion retail industry, COS is the place for you!
We are seeking a senior data analyst (finance) to join COS controlling analytics team within COS AI, analytics and data (aiad) function. In this role you will play a crucial part in driving commercial and financial data analysis use cases combining financial and market data to create better insights into the business performance and its potential opportunities. This is a heavily analytical role ideal for someone who thrives at the intersection of data, commercial finance and business impact.
What you will do
- Proactively identify strategic challenges where decision support anchored in data is needed.
- Be the driver for data driven decision making in your initiative/product team by turning data into insights and providing the team with clear, data driven recommendations.
- Conduct thorough analysis of retail sales data, including sales performance, P&L analysis, forecasting, budgeting, KPIs to identify trends, opportunities and risks
- Update and maintain controlling and forecasting tools to provide accurate and timely information to internal stakeholders, enabling data-driven decision making
- Apply advanced analytics methods and tools to model, execute and follow up initiatives from idea to industrialization.
- Be responsible for the full analysis process from problem and scope definition to data extraction, cleaning, analysis, visualization, creating recommendations, and presenting results.
- Turn business challenges into structured data analysis. Define and setup measurable KPIs and OKRs, own and maintain their visualization for value reporting.
- Be the data analytics expert in cross-functional teams and collaborate with business stakeholders to solve business challenges using data analytics.
- Participate in wider analytics community, both within COS and H&M Group
Qualifications
Alignment to our company values is the most important characteristic we look for in all new joiners. Our values are the behaviours that we appreciate above and beyond anything else. We are open-minded and curious, we dare to be different, we believe in constant improvement and we empower and trust you to take ownership. Our values are part of who we are, what we stand for and how we act.
Someone who is passionate about learning and development, and wants to grow yourself and others. A positive attitude and a role model for our values are important qualities that you should possess.
What you need to succeed:
- Proven several years of experience as either as Data Analyst, Product/Business Analyst or similar
- Have an academic degree in a quantitative field (economics, business, engineering, statistics, finance, computer science etc.)
- You have experience in business analysis, preferably within retail industry
- You have solid understanding of retail business models, sales processes and key performance indicators
- Have strong business sense and business interest with the ability of making sound interpretations of data and other information.
- Have excellent communication skills and are skilled in translating and explaining complex data analysis to non-technical and/or senior stakeholders.
- Have hands-on working experience writing advanced SQL queries to extract, prep, validate, and analyze large data sets.
- Have hands on experience in Analytical tools such as PowerBI or Looker studio etc.
- Have hands on experience building data analytics solutions using programming languages such Python, or R
- Have previous working experience or comfortable working with one of cloud platform data analytics stack i.e. Azure (Azure – SQL Server) or GCP – Big Query
- Have skills in Microsoft suite tools such as: Power Pivot, Power Query, Tabular Editor, DAX etc.
- Are prestige less and enjoy collaborating with others to solve problems.
- Are fluent in English
Additional Information
This is a Full time permanent contract based at our Head Office in London.
Benefits
We offer all our employees attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online.
In addition to this office based colleagues also receive:
- 20 days holiday
- Discounts on everyday brands and leisure activities
- Retail Trust membership
- Pension scheme
- Discounted gym membership
- Cycle to work scheme
Inclusion & Diversity
At COS we\\\’re determined to create and maintain inclusive, diverse and equitable workplaces throughout our organisation. Our teams should consist of a variety of people who share and combine their knowledge, experience and ideas. Having a diverse workforce leads to a positive impact on how we address challenges, what we perceive as possible and how we choose to relate to our colleagues and customers all over the world, therefore all diversity dimensions are taken into consideration in our recruitment process.
In this role you will have some flexibility to work remotely however due to the high level of cross department collaborations approx. 3 days per week office presence is required to foster strong collaborations and team work.
Job Location
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COS Senior Data Analyst (Finance) employer: Cos
Contact Detail:
Cos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land COS Senior Data Analyst (Finance)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at COS on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into COS's values and recent projects. Show us how your skills in data analysis can directly impact their business. Tailor your examples to highlight your experience in retail analytics.
✨Tip Number 3
Practice your storytelling skills! When discussing your past projects, focus on how you turned data into actionable insights. We want to see how you can make complex data relatable and impactful for non-technical stakeholders.
✨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 genuinely interested in joining the COS team.
We think you need these skills to ace COS Senior Data Analyst (Finance)
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data analytics shine through! Share specific examples of how you've tackled data challenges in the past, especially in the retail sector. We love seeing candidates who are genuinely excited about turning data into actionable insights.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your relevant experience and skills that align with the COS values and job requirements. Use keywords from the job description to demonstrate that you understand what we're looking for. This helps us see how you fit into our team!
Be Clear and Concise: In your written application, clarity is key! Avoid jargon and keep your language straightforward. We appreciate candidates who can communicate complex data concepts in a way that's easy to understand, especially since you'll be working with non-technical stakeholders.
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 ensures your application goes straight to our recruitment team. Plus, it shows us you're keen on joining the COS family!
How to prepare for a job interview at Cos
✨Know Your Data Inside Out
As a Senior Data Analyst, you'll need to demonstrate your expertise in data analysis. Brush up on your SQL skills and be ready to discuss how you've used data to drive business decisions in the past. Prepare specific examples of your work with retail sales data, P&L analysis, and forecasting.
✨Understand COS's Values
COS values open-mindedness, curiosity, and a willingness to take ownership. Familiarise yourself with these values and think about how your personal experiences align with them. Be prepared to share examples that showcase your positive attitude and commitment to continuous improvement.
✨Prepare for Technical Questions
Expect technical questions related to analytical tools like PowerBI or programming languages such as Python or R. Review your knowledge of these tools and be ready to explain how you've applied them in previous roles. Practice articulating complex data concepts in simple terms for non-technical stakeholders.
✨Showcase Your Collaboration Skills
Collaboration is key in this role, so be ready to discuss how you've worked with cross-functional teams in the past. Think of examples where you turned business challenges into structured data analyses and how you communicated your findings effectively to various stakeholders.