Process Analyst (m/f/d) / Data Engineering & Process Analytics

This position can be filled at the following locations: Heidelberg, Dordrecht
 

Who we are:
In the Data Engineering & Process Analytics department you will join a team working at the vibrant pulse of Springer Nature’s publishing workflows.  We combine data from a variety of systems to mine process flows and facilitate granular end-to-end analysis. We are an enabler for continuous improvement and process transformation monitoring.
We take our work seriously but not ourselves, placing more importance on collaboration and relationship building than on solo heroics. Our mission is to perform together to lay the foundation for analyzing today’s processes to make tomorrow’s publishing more efficient and rewarding.

Who you are:
You understand and are able to interpret business processes. You are as much into process and workflow analysis as you are into managing projects and working with people. You would describe yourself as a get-it-done and out-of-the-box person who appreciates the cultural diversity of a global company. You have already gained professional experience in international projects, you value self-dependency and reliability as much as we do, and you would be ready to get trained on the job.

What you will do:

• Drive projects to onboard business processes  in our process mining platform together with other internal teams
• Identify and quantify process gaps, inefficiencies, and risks, and proposing data-driven solutions and recommendations
• Collaborate with process owners, stakeholders, and cross-functional teams to implement and monitor process improvements and ensure alignment with strategic goals and customer expectations
• Measuring and reporting on process performance, outcomes, and benefits, using key performance indicators (KPIs) and dashboards
• Supporting the development and maintenance of process standards, policies, and best practices, and promoting a culture of continuous improvement and innovation
• Develop analysis best practices and blueprints that can be used across projects
• Conduct presentations and training sessions for the business users 

What we expect:

• A  degree in Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program
• Profound experience in project management, business analysis and working with internal customers and stakeholders
• Proficiency in using Celonis EMS and other process mining, modeling, and automation tools
• Experience in data visualization
• Proactive and communicative personality with excellent time management
• Strong analytical, problem-solving, and critical thinking skills, and the ability to synthesize and interpret data from multiple sources
• A customer-centric and results-oriented mindset, and the ability to work independently and collaboratively in a fast-paced and changing environment
• Excellent command (business fluency) of English and basic German skills

What we would appreciate:

• Experience with SQL, Python or similar 
• Experience with BI solutions like Looker or Looker Studio
• Knowledge of continuous improvement methodologies and tools
• Knowledge of scientific publishing processes
   

At Springer Nature, we value the diversity of our teams. We recognize the many benefits of a diverse workforce with equitable opportunities for everyone. We strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.

Visit the Springer Nature Editorial and Publishing website at www.springernature.com/editorial-and-publishing-jobs for more information about our Research E&P career opportunities.