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Data Analyst, ABB Marine & Ports, Helsinki
Are you passionate about data analysis and maritime technology? We are looking for a Data Analyst for our client ABB to work on ship sensor data to help improve navigation, fuel efficiency and performance. You’ll play a key role in ensuring data quality, identifying anomalies and trends, and providing actionable insights to clients. If you're ready to be part of a global technology leader, apply today!
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Data Analyst, ABB Marine & Ports, Helsinki
Are you passionate about data analysis and maritime technology? We are looking for a Data Analyst for our client ABB to work on ship sensor data to help improve navigation, fuel efficiency and performance. You’ll play a key role in ensuring data quality, identifying anomalies and trends, and providing actionable insights to clients. If you're ready to be part of a global technology leader, apply today!
ABB Oy
Helsinki
As soon as possible
Full time, permanent contract with Academic Work
Staffing
Possibility to work remote
About the role
As a Data Analyst you will play a key role in analyzing high-resolution sensor data from ships to enhance navigation, fuel efficiency, and overall performance. Your insights will help optimize fleet operations, ensuring data accuracy and identifying trends that drive improvement. In this role, you will work closely with both internal teams and clients, providing data-driven recommendations, creating reports, and maintaining dashboards. Your attention to detail and problem-solving skills will be essential as you investigate anomalies, detect errors, and deliver meaningful analyses. This is a great opportunity to apply your analytical skills in a dynamic environment, contributing to smarter, more efficient maritime operations.
You are offered
- Excellent opportunity to gain experience in an international company.
- Comprehensive orientation and professional support.
As an Academic Work consultant, you have a great opportunity to grow professionally, expand your network and make valuable contacts for the future.
Work tasks
- Analyze ship sensor data to identify anomalies, trends, and improvement areas.
- Conduct data quality checks and prepare reports for clients
- Perform customer-specific analyses and respond to data requests
- Implement and maintain Fleet Intelligence dashboards
- Present findings and quarterly reports to clients
We are looking for
- A relevant educational background (e.g., mathematics, physics, energy technology)
- Strong data analysis skills and problem-solving mindset
- Good mathematical skills & understanding of machine learning
- MATLAB and Python data analytics and visualization knowledge
- Ability to work independently and collaboratively in a team
- Excellent written and verbal communication skills in English
- A systematic and detail-oriented approach to work
We consider the following an advantage:
- Knowledge of ship systems and hydrodynamics
- Experience with Power BI or similar visualization tools
- Hands-on experience with high-resolution sensor data analysis
- Understanding of machine learning principles
Our recruitment process
This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work.
Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.
ABB Oy
ABB is a leading global technology company that is driving the transition of society and industry towards a more productive and sustainable future. By integrating software into its product portfolio for electrification, robotics, automation and motion control, ABB takes performance to new dimensions. With a history spanning more than 130 years, ABB's success is driven by some 105,000 talented employees in more than 100 countries.
Onko sinulla kysyttävää tästä työpaikasta?
Pinja Wahlsten tai hänen kollegansa rekrytointitiimistä vastaa kysymyksiin osoitteessa krn09@academicwork.fi Mainitse työpaikkakohtainen ID-numero viestissäsi: 2PG0GZ