IT Graduate (f/m/d) Data & Analytics

  • Essity
  • München, Germany
  • 16/09/2022
Full time Data Analytics Business Intelligence Statistics DevOps

Job Description

Job Description

employment type
full time

Full job description

IT Graduate (f/m/d) Data & Analytics
 
Essity has a clear strategy to become a data driven organization and it is investing in collecting and analyzing data from sales, back office and the factory floor to provide and enable more relevant insights across the organization. Essity has already deployed connected solutions using IoT technologies in Professional Hygiene and Incontinence Care solutions to improve the lives of people using these new technologies. To take this to the next level we need new capabilities to unlock the insights hidden within these data sources.
Therefore, we are searching for an IT Graduate Data & Analytics (f/m/d). The purpose of the role is to help develop data-driven analytics enabled solutions to complex business challenges across a range of business domains. Contribute to translating data and business goals into an analytics framework through statistical learning, algorithms and mathematical models.
This role will be part of the broad Data & Analytics function, creating value by supporting business with data and analytics solutions. We are looking for an IT Graduate – Data & Analytics (m/f/d) preferably for our one of offices in Munich, Gothenburg, Stockholm, Barcelona, Lisbon, or Paris. It is a permanent, full-time position.We're looking for people who embody our values, aren't afraid to challenge, innovate, experiment, and move at a fast pace. We're always looking for ways to improve our products and ourselves. If this is you, we'd love to talk.
 
What You Will Do
  • Develop data-driven solutions to difficult business challenges across a range of business domains by using statistical, mathematical, analytical models and data science techniques and understand how to convert theory and models into company operations.
  • Work collaboratively and effectively with a diverse team and business stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business value.
  • Ensure application of analytics solutions to generate value, e.g., to increase and optimize customer experience, revenue generation, process improvements, ad targeting and other business outcomes, as well as supporting cost savings initiatives.
  • Define problems and investigate ideas by experimental design and hypothesis testing. Participate in end-to-end model development and deployment, including statistical models and ML algorithms.
  • Communicate key insights from analyses, experiments and data products to stakeholders
  • Keep up to date with latest technology trends in the area of statistics, machine learning and data science.
Who You Are
  • University degree in a STEM or other quantitative discipline (e.g., but not limited to – Mathematics, Computer Science, Data Science, Statistics, Natural Sciences, etc.) or equivalent work experience.
  • Ability to apply statistical, analytical, and technical expertise to product and business problems.
  • Ideally knowledge of programming languages such as Python, and SQL or R for data analysis and model development. Coding experience can be completed from university courses, side/personal projects (Github, Kaggle) or professional experience.
  • Ideally knowledge of most common machine learning models such as regressions, decision trees and dimensionality reduction algorithms.
  • Enthusiasm for challenging topics and building a culture of learning, not afraid to learn quickly new topics.
  • Ability to work independently and as a member of a team. Fluent in English (written and verbal)
What We Can Offer You
 
At Essity, we believe every career is as unique as the individual and empower employees to reach their full potential in a winning culture motivated by a powerful purpose.
Our diversity makes us strong and creates an inclusive, inviting and harmonious workplace where individuality is appreciated by everyone. For this reason, incoming applications are selected based on professional qualifications and working values regardless of ethnicity, religion, gender, sexual identity, nationality, disability or age.Collaborative and Caring Culture | Empowerment & Engaged People | Work with Impact and A Powerful Purpose | Individual Learning & Career Growth | Health & Safety Priority | Sustainable Value Together| Innovation| Sustainable Working Life | Total Reward
Together, we are improving lives, every day.
Working at Essity is not just a career; it is a chance to directly make the world a healthier, more hygienic and safer place. With impactful innovations coupled with sustainable solutions, we strive to reach more people every year with the necessary and essential solutions for well-being.