Strong Middle/Senior Data Analyst (Healthcare Project)

Bulgaria Czech Republic Europe Germany Hungary Poland Data Analysis Data Science Engineering

Required skills

Python / strong
Data Analytics / strong
English / strong

Would you like to help creating the future of healthcare? Do you have a fine eye for detail and deep understanding of popular data analysis tools and databases? Then become one of us!

We are glad to welcome a Data Expert with entrepreneurial, performance-driven mindset and strong experience in implementing and delivering Data Analytics solutions to join us as a Strong Middle/Senior Data Analyst.

As a Strong Middle/Senior Data Analyst, you will be involved in designing and implementing solutions for the healthcare sphere, namely shaping the future of the Computed Tomography devices. You will apply your technical skills, analytical mindset, and product intuition to deliver data insights, transform them into business and decisions.

Sounds like you? Then we are waiting for you on our team.

Customer

Our customer is a leading global medical technology company. 60,000+ dedicated colleagues in over 70 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from the innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics, and molecular medicine, as well as digital health and enterprise services.

Project

As a Data Analyst Expert, you will create value and support decision-making process for the Tomography business unit by collecting, organizing, analyzing the data, building and scaling reporting dashboards, discussing ideas and presenting results to the key stakeholders in order to enable them to make informed decisions. The data for analysis is technical data of tomography devices.

In case you have a successful experience of running Data Science projects, you also will be welcome to review the benefits and value of the Data Science solutions. If for now you have little or no experience in Data Science, yet in the same time you are eager to dive into this sphere, you will be welcome to join such activities in the longer term.

 

Requirements

  • At least 5 years of related experience in implementing and delivering Data Analytics solutions with business impact
  • Strong communication experience with clients/business stakeholders
  • Strong experience in delivering presentations, delivering key points from data analysis
  • Fluency in Python and its state-of-the art analytical libraries
  • Solid understanding of relational databases and the ability to efficiently query large databases
  • Experience in Visual Analytics, building data-driven applications for end users with BI tools (Qlik, Power BI)
  • Upper-Intermediate level of English (both spoken and written)

 

Will be a plus:

  • Good knowledge of Machine Learning instruments and algorithms
  • Experience in Deep Learning (TensorFlow, PyTorch)
  • Experience in Business Analytics/Product Ownership
  • Knowledge of German language

Personal Profile

  • Confident interaction with developers and business stakeholders and experience of presenting work to technical and non-technical audiences
  • Entrepreneurial and performance-driven mindset

Responsibilities

  • Support the analysis of stakeholder objectives, assess the problems to be solved using Data Analytics, and identify internal or external data sources to use
  • Design, ideate, implement, validate, and deploy Data Analytics projects
  • Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value, and support decision-making
  • Support the review of the benefits and value of our Data Science solutions and recommend improvements (in case you have such experience/in the longer term)
  • Contribute to communities and knowledge sharing events and thereby shape existing analytics methods, standards, and guidelines

WHY US

  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities

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