Would you like to discover and communicate hidden opportunities identified through data analytics and hand these over to process owners, experts, managers, or value engineers to act on the opportunities?
What is the job about?
As a data analyst you will be part of our Process Intelligence team in Group Supply Chain working closely together with other functions in Group Supply Chain, Group Center of Excellences (COE’s), Group process excellence functions and Divisional execution teams – also outside the Supply Chain domain.
The role of the data analyst is to collect data or apply existing data, define KPIs, develop and maintain dashboards, develop, and maintain process confirmation dashboards or apps that reveal value opportunities through proactive analysis of business processes and performance.
Your main responsibilities:
50% dashboard/app development
- Collect and apply existing data pools for analysis
- Set requirements for data model enhancements
- Define relevant process indicators and KPIs
- Test and verify outputs and results
40% data analytics
- Ensure data collection and proactive analysis on a regular basis
- Develop use cases incl. sizing the value opportunity
- Develop and maintain performance reporting and process confirmation dashboards/apps for continuous business improvement
- Compose suggestions for the unit/function based on the analysis conducted
- Communicate opportunities identified and secure ownership for optimization/corrective actions
- Track value realization
- Communicate and follow-up on specific annual targets.
10% community engagement
- Collaborate with the Grundfos community to elevate their proficiency through mutual learning, sharing notable achievements, and cultivating expert users, placing emphasis on recognizing subtle value opportunities.
- Work closely together with collogues in related Group Center of Excellences (COE’s), Group process excellence functions and Divisional execution teams.
Your background
- Bachelor or master’s degree or similar higher education
- Experience within Business Intelligence/Data scientist/Supply Chain management/TQM/Lean_SixSigma
- Alternatively, extensive experience within process improvement tasks and analytics.
- Most likely to have 3-4 years of relevant work experience before entering level besides formal education
- Expertise in guiding evolved methodologies pertaining to analytics and process intelligence
- Experience working with defined processes & analytics within Supply Chain, Sales, Finance, Operations or Quality.
- Possess a natural interest & savvy for relevant supply chain IT systems/tools with the ability to adopt new technologies fast.
- Possess industry experience. Working in a large manufacturing environment is greatly appreciated
What’s in it for you?
What are your goals? Here at Grundfos it’s our mission to let you develop and fulfil your aspirations, both career and personal. We are guided by our six core values, and you’ll find that your fresh ideas will be welcomed and make a difference in everything from local to large-scale global projects. You’ll encounter colleagues from all over the world both as part of your daily work, supporting and all the while broadening each other’s cultural horizons.
In addition, your day-to-day benefits include:
- Flexible working hours; home office possibility and equipment; up to 3 days’ paid leave for volunteering
- Annual bonuses, parental support, internal well-being consultants and programs, engaging team buildings
- Diverse, inclusive environment with employee-led forums offering colleagues a safe place to connect and share openly
- Long-term career development with regular dialogue, as well as continuous learning and development opportunities.
Additional information
If this job sounds appealing to you, please send your resume and cover letter as soon as possible by clicking on “Apply”.
If you want to dig deeper into the Grundfos universe, please visit us on LinkedIn: www.linkedin.com/company/5195 or our YouTube channel: https://www.youtube.com/watch?v=zwY54t455CU.
We look forward to hearing from you.