Renewable energy jobs · Analytics

Analytics Jobs in Renewable Energy

Analytics professionals in renewable energy collect, model, and interpret operational and market data to improve how energy assets perform, how power is traded, and where new projects should be built. The big data analytics market in the energy sector is projected to grow from USD 10.6 billion in 2025 to USD 18 billion by 2030, driven by the sheer volume of data flowing from smart meters, SCADA systems, and weather stations.

What distinguishes analytics work in renewables from analytics in, say, retail or fintech is the physical complexity. A wind farm's output depends on atmospheric conditions that change by the minute, grid constraints that vary by region, and power purchase agreements that lock in prices years ahead. Analysts must combine meteorological data, asset telemetry, and market signals into models that inform real investment decisions - not just dashboards.

What the roles look like

The most common job titles on Rejobs reflect this breadth: Data Analyst, Business Analyst, Data Scientist, Data Engineer, Energy Analyst, and Financial Analyst. These titles cover distinct skill sets. A data engineer building ETL pipelines for turbine sensor data works differently from a business analyst modelling the commercial viability of a solar portfolio, but both fall under the analytics umbrella. Senior roles increasingly require domain expertise - understanding capacity factors, curtailment patterns, or balancing market mechanics - alongside technical proficiency in Python, SQL, and BI tools like Power BI or Tableau.

Who is hiring

Large utilities and IPPs dominate hiring. Vattenfall, EnBW, and Octopus Energy each maintain sizeable analytics teams to manage growing renewable portfolios. Grid operators like Enexis need analysts to handle network load forecasting as distributed generation grows. Pure-play renewables developers such as EDP Renewables, BayWa r.e., and SSE Renewables hire analysts for resource assessment, asset performance monitoring, and energy trading. Software-led companies like Uplight and Landis+Gyr - one of the largest smart metering providers globally - recruit data engineers and data scientists to build the platforms that utilities then rely on.

Berlin, London, Hamburg, Amsterdam, and Houston are the strongest hiring locations, reflecting the concentration of European energy headquarters and the US energy trading hub.

The skills gap

The IEA's World Energy Employment 2025 report found that over 50% of energy firms face severe hiring bottlenecks, with applied technical roles hardest to fill. Analytics sits at the intersection of this shortage: employers need people who understand both data infrastructure and energy systems, and that combination is genuinely scarce. Industry surveys suggest nearly half of energy firms struggle to recruit staff with both analytics and engineering expertise.

Where the field is heading

Three trends are reshaping analytics roles in renewables. First, AI and machine learning are moving from experimental to operational - predictive maintenance models that flag turbine faults before they happen, or algorithms that optimise battery dispatch in real time. Second, the growth of distributed energy resources - rooftop solar, home batteries, EVs - is multiplying the number of data points that need to be ingested and acted on. Third, energy trading desks are hiring quantitative analysts to price renewable power in increasingly complex markets where weather-dependent supply meets volatile demand.

Analysts who pair strong data engineering skills with genuine understanding of power systems, grid operations, or energy markets command the highest premiums - and remain the hardest profiles for employers to find.