Job Opportunities API

As  Market Intelligence Manager , you will help IONITY anticipate what’s next in EV charging, energy and mobility - and translate that into clear insights that shape strategy and execution. You will own recurring market reporting, develop forecasts and models, and provide decision-ready analysis for senior stakeholders across Commercial, Product, Network, and Finance.  This role sits within Market & Business Intelligence and partners closely with Strategy, Partnerships, Pricing, Network Development, and Operations.    Key Responsibilities:  Build a market intelligence engine : create a structured approach to tracking market dynamics (competitors, pricing, regulation, OEM moves, charging infrastructure, energy trends). Forecasting & modelling : develop and  maintain  forecasting models (e.g., demand,  utilisation , coverage needs, competitor expansion scenarios), including sensitivity and scenario analysis. Market analysis & opportunity sizing :  assess  new markets, segments, and partnership opportunities; quantify impact and risks. Trend scouting : monitor and interpret external signals (policy, grid constraints, vehicle parc, technology shifts, customer  behaviour ) and communicate what matters. Reporting & executive-ready storytelling : produce recurring reporting packs and ad-hoc deep dives; turn complex analysis into crisp narratives, charts, and recommendations. Stakeholder partnership : run insight-gathering rhythms with internal teams; clarify decision questions and ensure outputs are actionable. Data discipline : define consistent assumptions and “single source of truth” logic across recurring analyses; document methods and  maintain  version control. 3 - 5  years  experience  in market intelligence, strategy/consulting, analytics, competitive intelligence, or a similar role. Experience in EV charging, energy, mobility, infrastructure, telecom, or other  network-based businesses. Experience tracking  regulatory and policy  developments across European markets. Familiarity with  Power BI  (or similar ), and  working with data teams / BI pipelines. Strong quantitative skills: forecasting, modelling, scenario analysis; comfort balancing precision with decision timelines. Ability to communicate insights  clearly -  excellent  writing and visual storytelling  for executive audiences. Experience working cross-functionally and managing multiple stakeholders with competing priorities. High curiosity and structured thinking: you can spot patterns, challenge assumptions, and explain “so what? ”. Experience applying ML/AI  to market/competitive intelligence  is a plus  (e.g., time-series forecasting, clustering/segmentation, NLP for news & filings, automated signal  detection), including comfort  validating  models and  communicating  limitations. Fluency in English