Data Analyst With Portfolio Brands Focus To Retail Bi & Analytics

Publiceringsdatum: 2024-12-20

Letar du efter ett jobb inom yrken med teknisk inriktning? H & M Hennes & Mauritz Gbc AB är på jakt efter en skicklig dataingenjör och du kan vara rätt person för jobbet. H & M Hennes & Mauritz Gbc AB söker en medarbetare på heltid som vill arbeta tills vidare. Kan det vara du?

Att bo i närheten av Stockholm kan vara en fördel för denna position, så om du redan bor i området bör du överväga att söka jobbet. H & M Hennes & Mauritz Gbc AB söker efter fler duktiga individer som vill arbeta som dataingenjör. De har just nu ett ledigt jobb som dataingenjör som kan vara av intresse för dig. Sök jobbet som dataingenjör hos H & M Hennes & Mauritz Gbc AB och ta chansen att ta din karriär till nästa nivå. Ansök senast söndag den nittonde januari 2025.

Jobbannons

Company Description

Portfolio brands consist of COS, & Other Stories, ARKET, Weekday, Monki and Singular Society, all with high growth ambitions for the future. We are a global network of colleagues spread across 9 regions. New market entries, both physical stores and digital, as well as Digital partnerships are of high strategic importance ahead to expand our reach, build brand awareness and deliver on our growth plans. Another big part of our growth potential is to continuously improve our way of expanding to enable profitable growth. In partnership with our brands, markets and functions, we are creating memorable omni customer experiences across the globe. Profitable growth is key for achieving success at portfolio brands.

The mission of the Retail Unit is to grow and transform the portfolio by building exceptional store experiences – securing high productivity, financial resilience and a strong brand. This is done through holistic retail strategies, fueled by tech innovation and enabled through our global network of teams and partners.

Job Description

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 ad-hoc 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 with CV 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 to not attach a 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.