Data Analyst With Portfolio Brands Focus To Retail Bi Analytics

The Retail BI & Analytics team is a team gathering data competencies within the Retail unit including Data Analysts Data Scientists Product Data Analysts and Business Intelligence Analysts. We work closely together with stakeholders within the Retail function and within the regions to enable data driven decisions tools and processes.   

We are now looking for a Data Analyst with focus on supporting the Portfolio Brands. In the role you will work closely together with the Central Growth team for Portfolio Brands and other stakeholders and colleagues to address the most important topics on the growth agenda for the brands. More concretely you will be using internal and external data to perform analysis on areas such store and online growth customer behavior and store planning. You will be supporting the business with proactive analysis and decision support for strategic decisions and key initiatives answering complex business questions. To succeed in the role you will need to take initiative manage your own projects communicate clearly with senior stakeholders and utilize your data analysis experience and business acumen to deliver actionable insights.

In the role you will:

• Work together with the Central PB Growth team and the growth teams at the Portfolio Brands to understand their analytical needs
• Utilize the Retail BI & Analytics team community to leverage previous analysis insights and best practices and apply them to Portfolio Brands.
• Transform business questions into analyses that results in actionable insights working on the whole analysis process from defining the question to presenting the findings
• Analyze large data sets and select test and develop the best method or model for your analysis utilizing your technical skills in SQL R Python Power BI or other analytics tools that can help you reach your goals
• Perform adhoc analyses to quickly address incoming questions when needed
• Support in leading analyses deriving insights and preparing communication material for senior stakeholders

Qualifications :

As a person we believe that you are a true role model of H&M values and that you are an ambitious flexible and communicative team player full of drive and optimism. You have a genuine passion for growing businesses and creating results. You have experience in driving strategically important analytical projects. You thrive in an entrepreneurial setting where you are constantly looking for possibilities to develop more efficient ways of working.

Additionally we see that you: 

• Have an academic degree in a quantitative field such as engineering business economics finance or math/statistics
• You have developed strong analytical skills through relevant work experience with at least four years of experience from Data Analyst Insight Analyst or Business Analyst type roles
• Are confident in working with large data sets using SQL and extracting data by writing complex queries.
• Are an expert in analyzing data in either R or Python
• Have strong business sense and have the ease of seeing the totality and make fast interpretations of data and other information
• Are a clear communicator who can easily translate complex analytical methods to business stakeholders and are comfortable in presenting results of your analyses to different stakeholders
• Are a team player and enjoy sharing your knowledge with colleagues
• Love data as much as we do and have a genuine interest in sharpening your analytical skills and creating business value out of data

Additional Information :

This is a fulltime position with placement in Stockholm. If your experience skills and ambitions are right for this role please apply withCV in English.

Please do not send applications to individual email address due to GDPR we only accept applications through our career page. We look forward to receiving your application! 
 
H&M is committed to creating a Diverse & Inclusive environment and we are actively looking for qualified candidates irrespective of race gender gender identity sexual orientation ethnicity religion national origin disability or age. We strive to have a fair and inclusive recruitment process. Therefore we kindly ask you tonot attacha cover letter in your application as they often contain information that can easily trigger unintentional biases. 

Kindly do not send applications to this email address due to GDPR we only accept applications through our career page. 

Remote Work :

No

Employment Type :

Fulltime