Media Data Analyst

at  HM

Company Description
H&M is a fashion brand that offers the latest styles and inspiration, from fashion pieces and unique designer collaborations to affordable wardrobe essentials. Our business idea is fashion & quality at the best price in a sustainable way. Learn more about H&M here.
Sales is a global function within the H&M brand with the mission of growing and engaging our customer base, as well as growing and developing our sales channels. By holding the responsibility for our regions and bringing together expertise from both business and digital & tech perspectives, Sales plays a key role in delivering on our Brand Plan - to elevate H&M through product, experience, and brand providing aspirational fashion at an unbeatable price.
The mission of the Customer Activation unit in Sales is to create a strategic plan that brings our brand direction to life through different touch points. Through data and customer insights, we design and execute a plan that will ensure a holistic customer experience from communication with our customer to our membership program.
Job Description
In the role you will belong to the Product Data Analytics team and will be working within the product teams of the Value Stream Activate. Our Value Stream is developing and delivering a comprehensive range of products and features that cater to various stages of the customer activation journey. We enable tech solutions for our CRM and membership program, as well as across the media channels (Google, Meta, TikTok, Snapchat, etc.) By leveraging innovative technology, data-driven insights, and a deep understanding of customer behavior, we strive to create a seamless customer journey throughout the funnel as well as provide our regional teams and relevant business stakeholders with the tools they need to effectively engage, retain, and maximize the value of our customers.
As Product Data Analyst you will be key in driving data-driven product development. As an essential member of the product team you will support in shaping product roadmaps, enable understanding of the value delivered by the product team, will set and monitor KPIs for measuring success, will provide insights supporting strategic decisions. We believe you have strong leadership to drive analytical agenda within the cross-functional team and across many stakeholders (global commercial teams, analytical community, business tech teams, possibly external partners).

2+ years of experience in analytics, preferably as a data analyst in an agile product team setting.

• Academic degree within Business, Economics, Statistics, Engineering (or similar).
• Knowledge in SQL and experience in handling large datasets across multiple data sources.
• Experience with digital and media data, as well as good command of customer data
• Understand online media metrics from advertising platforms such as Google, Meta, TikTok, Snapchat, etc
• Understand how online media use attribution windows
• Understand metrics from GA & GA4
• Strong business context related to the product data analysts works with
• Ability to synthesize data into clear insights and communicate complex problems in a simple way across different types of audiences (both technical and non-technical) in a matrix organization.
• Analytical mindset and ability to lead with data-driven insights within a cross-functional team.
• Preferred to have experience with GCP (BigQuery) or Databricks and from working with data visualization tools (Looker Studio, Looker, PowerBI, etc.)
• It is beneficial if you have experience of working with loyalty or membership programs.
• Preferred to have experience with web analytics data, a/b testing methodologies and tracking development.
• Fluent in English (written and spoken)

• Be responsible for understanding and communicating the value the product team delivers to our customers and our business.
• Support in creating business cases that would inform our product development roadmaps and make sure we prioritize the right initiatives, as well as follow up on how the value is materialized once the development has been delivered.
• Translate the analysis performed into actionable insights and effectively advocate the insights across various stakeholders within and outside the Value Stream.
• Use SQL, SAS, Google BigQuery, Google Looker, PowerBI and other analytical tools to dive deep into our data, as well as be an expert within data relevant for your product(s). You will also have an opportunity to drive requirements towards the teams building our data products.
• Advocate for data-driven product development by defining success metrics (OKRs and KPIs), driving a/b test agenda, setting tracking framework for the newly developed features to ensure we are collecting high quality data.
• Participate in the wider analytical community within Customer Activation, Sales and broadly H&M Group to grow our collective knowledge and skills.
  Qualifications

2+ years of experience in analytics, preferably as a data analyst in an agile product team setting.

• Academic degree within Business, Economics, Statistics, Engineering (or similar).
• Knowledge in SQL and experience in handling large datasets across multiple data sources.
• Experience with digital and media data, as well as good command of customer data
• Understand online media metrics from advertising platforms such as Google, Meta, TikTok, Snapchat, etc
• Understand how online media use attribution windows
• Understand metrics from GA & GA4
• Strong business context related to the product data analysts works with
• Ability to synthesize data into clear insights and communicate complex problems in a simple way across different types of audiences (both technical and non-technical) in a matrix organization.
• Analytical mindset and ability to lead with data-driven insights within a cross-functional team.
• Preferred to have experience with GCP (BigQuery) or Databricks and from working with data visualization tools (Looker Studio, Looker, PowerBI, etc.)
• It is beneficial if you have experience of working with loyalty or membership programs.
• Preferred to have experience with web analytics data, a/b testing methodologies and tracking development.
• Fluent in English (written and spoken).

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!