
Senior Data Analyst (Finance)
- London
- Permanent
- Full-time
- 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
- 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
- 20 days holiday
- Discounts on everyday brands and leisure activities
- Retail Trust membership
- Pension scheme
- Discounted gym membership
- Cycle to work scheme
We are sorry but this recruiter does not accept applications from abroad.