Wärtsilä Energy leads the transition towards a 100% renewable energy future. We help our partners to accelerate their decarbonisation journeys through our market-leading technologies and power system modelling expertise. These cover decarbonisation services, future-fuel enabled balancing power plants, hybrid solutions, energy storage and optimisation technology, including the GEMS Digital Energy Platform. Did you know Wärtsilä has delivered 79 GW of power plant capacity and more than 130 energy storage installations in 180 countries around the world? In this fast changing world of energy, we are constantly on the lookout for future-oriented talent to join our team and to work towards enabling sustainable societies through innovation in technology and services - together. Want to join the ride?  Location- MEA, AMER, AFEU  Main Responsibilities : <ul><li style="font-size:10.0pt;">Interpret power plant data, analyse results using statistical techniques, and provide ongoing reports.</li><li>Automate data pipelines and reporting workflows using AI-enhanced tools.</li><li style="font-size:10.0pt;">Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.</li><li style="font-size:10.0pt;">Perform data analysis for clients daily with priority to critical plants, which includes but is not limited to historical operational parameters trends and equipment performance.</li><li style="font-size:10.0pt;">Analyses Plant performance data for example Operations and Maintenance Effectiveness, fluid quality data, forced outages, supplied unscheduled maintenance, parts and overhaul times, Risk Management, etc.</li><li style="font-size:10.0pt;">Coordinate and work with the DPD team to build dashboards in Qlik Sense and Expert Insight for different data models.</li><li style="font-size:10.0pt;">Work with Operations Support Team to prioritize business and information needs.</li><li style="font-size:10.0pt;">Support Agreement Managers, BDM, and Controllers by providing plant performance data.</li><li style="font-size:10.0pt;">Identify and define continuous improvement opportunities.</li><li style="font-size:10.0pt;">Create and maintain good relationship with other stakeholders in the Wärtsilä organization.</li><li style="font-size:10.0pt;">Collaborate with cross-functional teams to translate business questions into data-driven solutions.</li><li style="font-size:10.0pt;">Acquire data from primary or secondary data sources and maintain databases/data systems.</li><li style="font-size:10.0pt;">Identify, analyse, and interpret trends or patterns in complex data sets.</li><li style="font-size:10.0pt;">Filter and "clean" data by reviewing performance indicators to locate and correct code problems.</li></ul> You will shine in this role when you have : <ul><li style="font-size:10.0pt;">B.Sc. or M.Sc. in Computer/data science or in Engineering or equivalent educational background.</li><li style="font-size:10.0pt;">5 years of relevant experience.</li><li style="font-size:10.0pt;">Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.</li><li style="font-size:10.0pt;">Technical Expertise in data models, database design development, data mining and segmentation techniques</li><li style="font-size:10.0pt;">Adept at queries, report writing, and presenting findings.</li><li style="font-size:10.0pt;">An Advance level of English language.</li><li style="font-size:10.0pt;">We seek an expert professional with strong problem-solving and decision-making skills.</li><li style="font-size:10.0pt;">Understanding of Wärtsilä business, quality, and workplace safety is a plus.</li></ul> Last application date: 29-12-2025  At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.  Please note that according to Wärtsilä policy, voluntary consent for a security check may be required from candidates being considered for this position, depending on the applicable country. This is Wärtsilä Wärtsilä is a global leader in innovative technologies and lifecycle solutions for the marine and energy markets. Our team of 18,300 professionals, in more than 230 locations in 77 countries, shape the decarbonisation transformation of our industries across the globe. Read more on <a href="http://www.wartsila.com">www.wartsila.com</a>.   #wärtsiläenergy

We enable sustainable societies through innovation in technology and services together with all our stakeholders &ndash; today and tomorrow. We emphasise innovation in sustainable technology and services to help our customers continuously improve environmental and economic performance. We work together with our strong ecosystem of partners every day, providing a wide portfolio of leading technologies and innovative solutions that offer our customers superior uptime, reliability and foreseeable lifecycle costs across their operations. Our global passionate team of 17,500 energy and maritime experts in 200 locations in more than 70 countries is committed to shaping decarbonisation transformation of our industries across the globe.

Technical Data Analyst

Wärtsilä Energy leads the transition towards a 100% renewable energy future. We help our partners to accelerate their decarbonisation journeys through our market-leading technologies and power system modelling expertise. These cover decarbonisation services, future-fuel enabled balancing power plants, hybrid solutions, energy storage and optimisation technology, including the GEMS Digital Energy Platform.&nbsp;Did you know Wärtsilä has delivered 79 GW of power plant capacity and more than 130 energy storage installations in 180 countries around the world?&nbsp;In this fast changing world of energy, we are constantly on the lookout for future-oriented talent to join our team and to work towards enabling sustainable societies through innovation in technology and services - together. Want to join the ride? &nbsp;Location- MEA, AMER, AFEU&nbsp;&nbsp;Main Responsibilities :&nbsp;<ul><li>Interpret power plant data, analyse results using statistical techniques, and provide ongoing reports.</li><li>Automate data pipelines and reporting workflows using AI-enhanced tools.</li><li>Develop and&nbsp;implement&nbsp;databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.</li><li>Perform data analysis for clients daily with priority to critical plants, which includes but is not limited to historical operational parameters trends and equipment performance.</li><li>Analyses Plant performance data for example Operations and Maintenance Effectiveness, fluid quality data, forced outages, supplied unscheduled maintenance, parts and overhaul times, Risk Management, etc.</li><li>Coordinate and work with the DPD team to build dashboards in Qlik Sense and Expert Insight for different data models.</li><li>Work with Operations Support Team to&nbsp;prioritize&nbsp;business and information needs.</li><li>Support Agreement Managers, BDM, and Controllers by providing plant performance data.</li><li>Identify and define continuous improvement opportunities.</li><li>Create and maintain good relationship with other stakeholders in the Wärtsilä organization.</li><li>Collaborate with cross-functional teams to translate business questions into data-driven solutions.</li><li>Acquire data from primary or secondary data sources and maintain databases/data systems.</li><li>Identify, analyse, and interpret trends or patterns in complex data sets.</li><li>Filter and "clean" data by reviewing performance indicators to locate and correct code problems.</li></ul>&nbsp;You will shine in this role when you have :&nbsp;<ul><li>B.Sc. or M.Sc. in Computer/data science or in Engineering or equivalent educational background.</li><li>5 years of relevant experience.</li><li>Strong&nbsp;analytical skills&nbsp;with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.</li><li>Technical Expertise in&nbsp;data models, database design development, data mining and segmentation techniques</li><li>Adept at queries, report writing, and presenting findings.</li><li>An Advance level of English language.</li><li>We seek an expert professional with strong problem-solving and decision-making skills.</li><li>Understanding of Wärtsilä business, quality, and workplace safety is a plus.</li></ul>&nbsp;Last application date: 29-12-2025&nbsp;&nbsp;At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.&nbsp; Please note that according to Wärtsilä policy, voluntary consent for a security check may be required from candidates being considered for this position, depending on the applicable country.&nbsp;This is Wärtsilä&nbsp;Wärtsilä is a global leader in innovative technologies and lifecycle solutions for the marine and energy markets. Our team of 18,300 professionals, in more than 230 locations in 77 countries, shape the decarbonisation transformation of our industries across the globe. Read more on <a href="http://www.wartsila.com">www.wartsila.com</a>.&nbsp; &nbsp;#wärtsiläenergy

Technical Data Analyst

About the Job

About the Company

Wartsila

Similar Jobs

Data Analyst

Data Analyst

Process Automation Analyst

Process Automation Analyst

Supply Chain Advanced Data Analytics

Supply Chain Advanced Data Analytics

Data Specialist

Data Specialist

Data Analyst

Data Analyst

Data Scientist

Data Scientist

Data Analyst

Data Analyst

Working Student Data Engineering & Analytics - Energy Operations (m/f/d)

Working Student Data Engineering & Analytics - Energy Operations (m/f/d)

FP&A Data Analytics Specialist - F&LE - CP&O

FP&A Data Analytics Specialist - F&LE - CP&O

Data Analytics Development Student

Data Analytics Development Student