Data analyst / product owner for value stream extended
Budapest, Hungary
Bosch Group
Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.
Job Description
The Mobility Electronics (ME) division develops new electronic control units and a wide range of sensors in close cooperation with manufacturing. These products are engineered to a state of the art level both in technology and reliability and are to be found in cars of a very large group of manufacturers. The ME-SN/ENG-HU department develops mechanical design and takes care of industrialization for the product portfolio. The ME/ECO1-HU group bundles cross functional topics for the ME community locally and worldwide: digitalization, data analytics, development processes, mCAD support, knowledge management, sustainability.
Your tasks:
► Leading agile digitalization and automation projects in collaboration with partner manufacturing units
► Performing project/product acquisition according to CRISP-DM or ARC42 approaches and standard ROI calculation
► Facilitating idea generation with partners, working out use cases with project teams
► Project planning (schedule, WBS, resource planning) for quarterly planning, sprints and projects in MCR
► Risk management in projects
► Performing project documentation according to defined team procedure
► Reporting project status to sponsors and management, managing stakeholder engagement and expectations
► Coordination of quarterly release train planning for the value stream extended portfolio on team level
► Participation in task forces, problem solving and ad-hoc data analytics activities as data analyst. Data mining and analytics in plant infrastructure
► Dashboard creation on demand in Tableau, Power BI or Dash
► On-demand presence in plants to enhance collaboration
Qualifications
► University or college degree in mechanical or mechatronic engineering, engineering management, economics or related field
► 1-2 yrs experience in project management w/ high management attention (planning, coordination, budget mgmt.. risk management)
► Solid knowledge of Jira tool for capacity planning
► Solid knowledge of Tableau and Power BI, Hadoop cluster and plant IT infrastructure for analytics purposes and content driven leadership
► Excellence in presentation both written and verbally
► Solid knowledge of cost and resource planning system (MCR) and related CTG processes
► Precise working style, good planning, time management and organizational skills, active tracking of tasks
► Ability to work individually and in international teams, sharing ideas and also managing stakeholders
► Be self-initiative, open, innovative and have a growth mindset
► Analytical and structured thinking and working style
► Ability to deliver in short term, tolerance of volatility in tasks and priorities
► Fluency in English
Additional Information
Benefits & our offer:
► Stable, reliable corporate background
► Competitive compensation package incl: salary, annual & performance bonus, cafeteria, life event support, glasses support, travel cost reimbursement
► Flexibility in location & timing - HO package (electronic devices)
► Modern and inspiring office environment - corporate canteens, café, gym, game room, yoga
► Continuous learning & growth opportunity - personal career development and challenging role
► Well-being programs including medical & mental support - on-site blood donation
► Sport, cultural & educational events, self-organized activities supported by the company
► Childcare opportunity - kindergarten & nursery
► Employee referral program
► On-site parking place and bike racks
Please apply with your English CV!
If you require any further information, please feel free to contact us on the following number: +36 80 18 08 01. Our colleagues can help you with answers during the weekdays between 08:00 a.m. till 16:00 p.m.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Data Analytics Data Mining Economics Engineering Hadoop Jira Power BI Spark Tableau
Perks/benefits: Career development Competitive pay Fitness / gym Salary bonus Startup environment Team events Travel Yoga
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