Student Worker - Statistical Data Analyst

About us:

NEL is a leading international organization in the Hydrogen fueling industry, renowned for its innovative solutions and global presence. We are currently seeking a dedicated Student Worker/master’s student to join our dynamic EU Project & Service organization.

About the Position

In this new position, as a Student Worker, you will be part of our Service and Maintenance Department, and with the support of this new role we want to be able to optimize our Hydrogen Fueling Stations performance based on factual analysis. The role involves in-depth analysis of an extensive amount of data which is broadcasted back to HQ from fueling sites all over the world and the result of that analysis should help us deciding our maintenance strategies.

About the task

What we need is an in-depth statistical analysis to find correlation between historical collected technical data and based on that, we would like to be able to better predict component failures, and thereby start a ‘Condition Based Maintenance’ approach towards servicing stations in the field. (“Condition-based maintenance” (CBM) is a maintenance strategy that monitors the real-time condition of a technical system to determine what kind of maintenance needs to be performed).

The position is based in Herning, Denmark and it includes working as hourly paid for up to 25 hours per week, with the option to scale up the time in connection with holidays or study-free periods.

Key Responsibilities:

You are expected to:

• Perform statistical analysis on technical data and maintenance records to identify trends and patterns.
• Develop ‘Condition-based maintenance’ models based on data insights to improve system reliability and reduce downtime.
• Analyze technical data to determine correlations with equipment failures and the need for maintenance.
• Generate regular reports, detailing findings, and recommendations for Condition-based monitoring.
• Work closely with the Monitoring and Key Account engineering teams to implement data-driven improvements.

Your qualifications

• You may currently be enrolled in a masters program in Statistics, Data Science, Engineering, or another related field.
• Maybe you are planning on writing a thesis on ‘Condition Based Maintenance’, perhaps aiming on investigating statistical correlations within large amount of data.
• You have a strong analytical and problem-solving mindset, with a proven ability to interpret and visualize data to draw feasible conclusions.
• You are experienced in working with statistical software and tools (e.g., R, Python, SAS) and understanding of database management.

Personal characteristics:

You possess:

• An outgoing personality who knows how to maneuver in a global organization on all levels.
• An exceptional attention to detail, ensuring precision in data and results as well as in documenting things.
• Strong critical thinking skills, with the ability to evaluate complex information from various sources.
• Excellent verbal and written communication skills, capable of explaining complex data insights in a clear and accessible manner.
• A collaborative mindset, adept at working in multidisciplinary teams to achieve shared goals.

Additional information:

• The position will include some on-the-job training to understand the way hydrogen refueling stations work.
• You can expect support/mentorship from experienced technicians in the field, who will providing you guidance on technical questions.
• You can expect a flexible work set-up, that offers you space and time to academic commitments and perhaps thesis work.

What will you get from working with us?

• An opportunity to work in a company with strong growth and a leading position in the market.
• A visible role with many exciting interfaces, internally and externally.
• The opportunity to work in a global company that contributes to the green transition.
• A dynamic and highly professional working environment consisting of competent and committed colleagues.
• Excellent opportunities for professional and personal development.
• Competitive salary, as well as a variable incentive compensation plan.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. All employment is decided based on qualifications, merit, and business needs.