Your tasks:
Isolation of DNA and RNA from various materials (blood, FFPE, FNBs). Molecular genetic diagnostics in the field of molecular endocrinology, haematooncology and pharmacogenetics.
Carrying out molecular genetic analyses (PCR, next-generation sequencing (NGS), MLPA) and genotyping using MALDI-TOF technology in the MassARRAY system.
Evaluation, assessment and preliminary diagnosis of the tests carried out with final diagnosis by the head of the medical department.
General technical laboratory work.
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Company Description:
Join H&M Group on a ground breaking journey towards a circular fashion industry with net-zero climate impact. At H&M, we are committed to driving sustainability and innovation, exceeding customer expectations, and shaping the future of fashion through technology data. H&M is striving to become more data-driven within the sustainability area to support decision making, reporting and operational input. Our goal is to democratize sustainable data for all within the eco system, reach our sustainability goals, and decouple our growth from our climate impact. By providing a platform for real-time sustainability data, Green IT can support the H&M Group's sustainability mission. We'll accomplish that by figuring out which technologies will enable us to meet our sustainability objectives. Our goal is to link sustainability data from beginning to end along our whole value chain. This include maintaining and validating sustainability data, facilitating sophisticated computations and forecasting models, and presenting data visually through different dashboards and reports, among other things. We are looking for a Data Analyst with a genuine interest in sustainability and the ability to transform business' requirements and needs into solutions, to join the Tech Green IT team.
Learn more about H&M | H&M Careers (hm.com)
Job Description:
Working in a cross-functional product team as a Data Analyst, your primary responsibility will be to develop end-to-end sustainability solutions that enable reporting and steering in accordance with ESG legislation and other specified sustainability KPIs in keeping with the agenda that Group Sustainability has prioritised. You will gain even more in-depth knowledge of business operations, including production, logistics, sustainability, and the necessary IT development.
What you will get to do:
Work with multiple complex data sources, prepare data, aggregate, and transform both structured & unstructured data. To optimise business effect, collaborate with the product team and sustainability stakeholders to analyse and design solutions. Construct, evaluate, and refine solutions in consultation with sustainability specialists. Examine information from several sophisticated data sources, such as databases and APIs. Create data flows, clean up, and convert data. Construct dashboards, reports, and other products centred on sustainability data while ensuring that the data is used to generate commercial value. Create prediction and computation models in various settings. Create and evaluate various approaches in collaboration with Sustainability controllers. Integrate, investigate, and derive insightful information from data. Work with extensive and intricate data assets from several corporate divisions. Recognise and analyse patterns and trends in large, intricate data sets so that the company may make informed decisions. Assist the customer with data analysis and visualisation by creating dashboards, etc.
Qualifications:
a suitable academic degree in engineering, business, statistics, or a related field. three to five years' minimum of relevant experience in a role demanding superior analytical abilities. knowledge of using analytical, statistical, and numerical techniques to data processing. the capacity to work with sizable and intricate data collections. Proficiency in BigQuery, SQL, or Python is ideal. Experienced in Data modelling. familiarity with all data visualisation software, such as Looker, Tableau, Power BI, and Data Studio. Preferably, you have experience with data mesh and Google Cloud. outstanding speaking, writing, and presentation skills. strong in setting priorities, carrying them out, and following up while maintaining a "can-do" mentality. Motivated by an environment that allows you to work and take decisions independently.
Fluent in English, both written and verbal. We will test, fail, and learn along the way, leading to something amazing and new. Since you have a significant role in this transition, we think you are adaptable, resilient to stress, and capable of working in a dynamic workplace.
Additional Information:
Based in Stockholm, this is a permanent full-time position. Please submit your resume in English by April 7 if you believe that your background, abilities, and goals align with this position. We are unable to accept applications or cover letters by email due to GDPR.
We're excited to get your application!
In keeping with our mission to foster an inclusive and diverse workplace, H&M is actively seeking qualified applicants regardless of their age, gender, sexual orientation, ethnicity, national origin, religion, or race.
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