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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
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