Data Analyst

  • Full-time

Job Description

The Data Analyst works alongside Product Manager and Data Engineer in the team to develop data platform, data warehouse and data cubes for analytics purposes. With the data collected from various data sources, he/she is responsible for analyzing, discovering and interpreting complex data sets to provide valuable insights and support strategic business decisions.

Responsibilities

  • Understand and analyze business requirements to develop data solutions collaborating with Data Product Manager.
  • Provide requirement documentation to the Data Engineering team for implementation.
  • Perform data analysis to identify trends, patterns, and insights.
  • Develop and maintain BI dashboards to visualize key metrics and KPIs that assist Product Manager in designing Data Product.
  • Building and maintenance of the data warehouses and data pipelines in cooperation with Data Engineers.
  • Perform ad-hoc analysis to answer specific business questions and drive strategic initiatives.

Qualifications

Must haves:

  • Proven experience working as a Data Analyst or in a similar role.
  • English and Chinese are the working languages, required both written and oral.
  • Good knowledge of SQL-based languages (MySQL, MSSQL/transact SQL)
  • Experienced in (analytics) scripting languages, such as R or Python.
  • Familiarity with dashboard/reporting solutions like Power BI, Quick BI, Tableau, BigQuery or similar tools.
  • Strong analytical skills with the ability to translate complex data into actionable insights.
  • Drive, enthusiasm and insight into fast fashion and software development to be able to push our business to the next level, by utilizing their analytical mind-set, data driven decision making model in collaboration with Data Product Manager.

Nice to haves:

  • Knowledge about CDP and Data Mesh is a plus.
  • Knowledge of non-relational DBMS technologies (Key-value stores, object databases, etc.) is a plus.
  • Excellent English speaking.
  • Familiarity with Agile development methodologies.
  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.

Additional Information

This is a fulltime permanent position, starting as soon as possible according to agreement. The role is an on-site position, based in our office in Shanghai, China.
Apply by sending in your CV in English as soon as possible. Due to data policies, we only accept applications through career page.

Benefits
We offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET, Afound. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here.

In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries. 

Inclusion & Diversity

H&M is a part of H&M Group. At H&M Group, we’re determined to create and maintain inclusive, diverse and equitable workplaces throughout our organization. Our teams should consist of a variety of people that share and combine their knowledge, experience and ideas. Having a diverse workforce leads to a positive impact on how we address challenges, on what we perceive possible and on how we choose to relate to our colleagues and customers all over the world. Hence all diversity dimensions are taken into consideration in our recruitment process.  

We strive to have a fair and equal process and therefore kindly ask you not to attach a cover letter in your application as they often contain information that easily can trigger unintentional biases.

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.

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