BizMe

Data analyst based in London. 

We are looking for a Data Analyst


Négociable


Please follow the steps below:

  • Fill out matrix in English (matris) - it can be found in the portal under requisition. Once it is filled out, please upload it in the portal under "attachments".
  • CV should always be in word-format, in English and uploaded in the portal under “resumé.”
  • Do not forget to check the box of the matrix in the last step when also adding rate.

 

Resource Request

Number of resources requested: 1
Profile/Role: Data Analyst (Data Visualization)
Competence (consulting experience from the desired role and competence):
- Senior
Remote work allowed: true
Percentage of remote work allowed: 40%
CV review: Ongoing
Interviews: Ongoing
Period from: 2024-11-04
Period to: 2025-05-30

 

Job description:

We are looking for a Data Analyst

Key responsibilities:   

  • Proactively identify strategic challenges where decision support anchored in data is needed.
  • Be the driver for data driven decisions making in your initiative/product team by taking data into insights and provide the team with clear, data driven recommendations.
  • Build and maintain analytics products supporting business decision making.
  • Be responsible for the full analysis process from problem and scope definition to data extraction, cleaning, analysis, visualization, creating recommendations, and presenting results in collaboration with the Data & Analytics Team.
  • Turn business challenges into structured data analyse. 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.
  • Work on a broad variety of business challenges with a wide range of business stakeholders (customer, sales, marketing, merchandizing, finance etc.).
  • Participate in wider analytics community, both within COS and H&M Group

 

Job Skills

We believe you are a business-minded, ambitious team player, analytical, curious, and very supportive. We also believe you are structured, thorough with good communication and interpersonal skills. You are highly solution-oriented, quickly adapting to changes in scope and time plan. To be successful in this role we believe that you have:

 

  • Good understanding of marketing channels attribution models, including last non direct click, Multi-Touch Attribution (MTA) and Marketing Mix Modeling (MMM) to evaluate the effectiveness of marketing channels and campaigns.
  • Proven experience in data analysis on platforms such as Google Analytics 4 (GA4), Google Ads, Meta Ads Manager, TikTok Ads, and other major digital advertising platforms.
  • Experience with data integration and ETL platforms like Adverity, Dataddo, or similar tools to collect, clean, and aggregate data from multiple digital marketing platforms.
  • Familiarity with Digital Advertising Strategies, campaign optimization/SEO techniques, and performance measurement across various paid media channels.
  • Have an academic degree in a quantitative field (economics, business, engineering, statistics, finance, computer science etc.)
  • 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 creating Analytical tool suites with 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 excel functions 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