Senior Data Analyst (Finance) at COS
London WC1A 1JS, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

01 Dec, 25

Salary

0.0

Posted On

01 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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.

Responsibilities
  • 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.

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