Data Analyst, Strategic and Commercial Analytics

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?

 

 

About the Role

 

We are seeking a Data Analyst to support data-driven decision-making across Wärtsilä’s Energy business in the Americas. This role focuses on commercial analytics, financial modeling, market analysis, and the development of analytical tools that enable deal origination, value proposition quantification, and strategic decision-making for new build and lifecycle energy solutions.

 

You will apply your analytical skills to generate business insights across various teams, including new build, agreements, plant operations, and performance, in alignment with Wärtsilä Energy’s overarching strategy.

 

This role follows a hybrid work schedule, requiring two on-site days per week at one of our main facilities: Houston, TX; Herndon, VA; Fort Lauderdale, FL; or Emeryville, CA.

 

 

Key Responsibilities

• Collaborate with cross-functional teams to identify continuous improvement opportunities and develop data-driven solutions.
• Analyze large volumes of engine performance data to demonstrate the value proposition of Wärtsilä’s lifecycle solutions within regional markets.
• Support quantification of Wärtsilä’s new build equipment and lifecycle agreements for business development, project development, marketing, and sales using new and existing modeling methods.
• Develop, maintain, and document financial models and other analytical tools to evaluate new build and lifecycle sales opportunities.
   

Required Qualifications

 

• Bachelor’s degree in a quantitative field (engineering, data science, economics, finance, or related discipline).
• Experience with analytical tools such as Python and Excel, including packages or add-ins for analyzing large datasets and building predictive models.
• Proficiency in AI tools such as Microsoft Copilot.
• Proactive self-starter with strong communication skills and willingness to learn other aspects of Wärtsilä’s business.
• Knowledge of electricity markets.
• Fluency in English.
   

Preferred Qualifications

 

• Master’s degree in engineering, data science, computer science, or similar.
• Customer-oriented mindset.
• Knowledge of SQL, Databricks, and Git.
• Familiarity with BI tools such as Power BI or Qlik.
• Experience translating technical findings into actionable insights for non-technical stakeholders.

 

 

Last application date: 19/01/2026 

 

Candidates for regular U.S and Puerto Rico positions must be a U.S. citizen, national, or an alien admitted as permanent resident, refugee, asylee with valid work permit or temporary resident under 8 U.S.C. 1160(a) or 1255a(1). Individuals with temporary visas such as E, F-1, H-1, H1B, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

 

For applicants that reside in CA, the salary range is $ 87,500 - $ 107,000 USD.

 

The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Eligibility to participate in: the discretionary incentive plan assigned to the level of position upon offer of employment; medical, dental and vision coverage, 401(k) plan and flexible spending accounts, subject to plan terms; Company-paid benefits such as life insurance, short- a