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SHL IT Data Analytics Professional (APAC)

Job Description

Do you want to join us in helping to fight the world threatening diseases and enabling access to care for more people around the world? At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere.
We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting?
Then come and join our global team as Data Analytics Professional (APAC) to support the data analytics practice and guide the organization to successful data-led outcomes. The role reports to the Manager, Data Analytics & Insights APAC within Siemens Healthineers Asia Pacific Information Technology, Innovation and Process Consulting (SHS IT AP IPS) department.

Your tasks and responsibilities:

  • Member of the Data Analytics & Insights APAC team to drive deployment, adoption and use of data for valuable business insights and outcomes
  • Contribute to, and support, the APAC Data Strategy activities including developing concepts, and executing the tasks assigned to achieve the set objective and targets in data analysis, including data acquisition, archive recovery, and implementation of database from relevant data sources as required by the business
  • Use analytics, and machine learning tools to select features, create and optimize classifiers; data models and data mart architectures
  • Build and/or enhance data collection procedures to include all relevant information for developing analytic systems; develop and upkeep the data warehouse and data marts
  • Execute preprocessing of structured and unstructured data
  • Preprocess, process, cleanse, and validate the integrity of structured and unstructured data to be used for analysis by IT and/or business users including key users and citizen developers of data visualization tools
  • Design and create reports and presentations for business users when required; correlate similar data to find actionable results
  • Develop prediction systems and machine learning algorithms; analyze data to find patterns and solutions
  • Collaborate with Business and IT teams in the zones / region and propose solutions and strategies to tackle business challenges
  • Create and maintain necessary documents and manuals to support the operations and service management of the platforms
  • Train and guide business users on becoming citizen developers and on overall data analytics and insights concepts and practices
  • Drive implementation of data analytics projects; and ensure compliance to Quality, Information Security, and Data Privacy regulations
To find out more about the specific business, have a look at https://www.siemens-healthineers.com/

Your qualifications and experience:

  • Bachelor's Degree in Computer Science, Statistics, Engineering, Mathematics, Business, Economics, Technical, Science, Finance, Business Analytics
  • At least 3-5 years of Data Analyst / Scientist or equivalent experience working with data (Software Engineering, Database Design, etc.)
  • Must have a software development background in order to prototype custom analytics/tooling
  • Working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML) tools
  • Practical and proven experience with data analysis and exploration, especially with diverse data sets
  • Experience as an architect and having developed scalable cloud-based data analytic solutions
  • Familiar with scalable distributed data processing, management, and visualization tools
  • Proven capability to apply the latest technologies and methodologies in AI/ML, data mining, and predictive analytics to correlate disparate datasets and events, and derive value.
  • Experience of leading data analytics projects for internal / external customers

Your attributes and skills:

  • Strong skills in English language, oral and written
  • Ability to converse in additional languages like Chinese / Japanese / Korean will be advantageous
  • Knowledge of statistical programming languages like R, Python, and database query languages like SQL / Hive is desirable. Familiarity with Scala, Java, or C++ is an added advantage
  • Knowledge of data platforms, ETL tools, data visualization tools, databases, and analytics like Microsoft Power BI, QlikView, Snowflake, Snap Logic, Alteryx, etc.
  • Experience in working with data warehouse / lake / lakehouse solutions and ERP platforms like SAP
  • Proven ability to learn quickly and works well both independently as well as in a team setting
  • Critical thinker that is comfortable supporting collaborative problem solving in a team environment
  • Strong analytical and problem-solving skills
  • Good technical writing skills, documentation and communictions skills
  • Keen learner and curious about technology, processes and data

Our global team:

We are a team of 66,000 highly dedicated employees across more than 70 countries passionately pushing the boundaries of what’s possible in healthcare to help improve people’s lives around the world. We aspire to create better outcomes and experiences for patients no matter where they live or what health issues they are facing. Our portfolio, spanning from in-vitro and in-vivo diagnostics to image-guided therapy and innovative cancer care, is crucial for clinical decision-making and treatment pathways.

Our culture:

We are part of an incredible community of scientists, clinicians, developers, researchers, professionals, and skilled specialists pushing the boundaries of what’s possible, to improve people’s lives around the world. We embrace a culture of inclusivity in which the power and potential of every individual can be unleashed. We spark ideas that lead to positive impact and continued success.

Check our Careers Site at https://www.siemens-healthineers.com/careers

As an equal opportunity employer, we welcome applications from individuals with disabilities.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started. 

To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.



Organization: Siemens Healthineers

Company: Siemens Healthineers Ltd.

Experience Level: Mid-level Professional

Full / Part time: Full-time

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