Gestione dell’impianto di teleriscaldamento e teleraffrescamento cittadino tramite operazioni di conduzione da sistemi di telecontrollo, monitoraggio dei parametri di funzionamento e gestione dell’allarmistica, in coordinamento con il personale tecnico di impianto per garantire la piena operatività e il massimo efficientamento energetico.
Supervisione operativa di impianti di cogenerazione industriale e ospedaliera, in supporto alle aree operative e ai Site Manager.
Monitoraggio e supervisione di impianti fotovoltaici, con analisi delle curve di irraggiamento e prima diagnostica di guasti hardware e/o valori fuori limite attraverso uso di dashboard dedicate.
Individuazione e diagnosi dei malfunzionamenti attraverso l’analisi degli eventi e dei messaggi di allarme, in collaborazione con il personale di campo, al fine di ottimizzare i tempi di intervento e ridurre il downtime.
Sviluppo di sistemi di analisi dei dati mediante l’utilizzo di Power BI, in ottica di efficientamento energetico e supporto alle aree operative.
Requirements
Laurea in ingegneria energetica/gestionale
Diploma di Scuola media superiore ad indirizzo informatico
As a Senior Sales Analytics Consultant supporting Southwest Business, you’ll help shape how Southwest turns Customer data into scalable strategies that grow corporate travel revenue and engagement. You’ll combine quantitative and qualitative insights to identify promising corporate partnerships, determine meaningful incentives, and influence contract strategies.
Compensation
Competitive market salary from $125,900 per year to $139,900 per year* depending on qualifications and experience. additional bonus opportunities are available
Responsibilities
Deliver Customer insights and opportunities through internal and Customer data and Account Manager insights leveraged throughout the sales cycle to achieve revenue targets
Work seamlessly with Account Managers and the Customer Success Team to deliver and identify revenue opportunities through internal transactional data, third-party data, account manager or Customer Success Team insights, cross-functional partners, or a variety of other sources in order to drive account strategies, tactics, contract proposals, and effective presentations
Transform raw data into easily understandable, presentable and actionable findings to identify opportunities and ensure performance, sharing with sales team partners, Customers, and all levels of management
Use technical skills (SQL, Alteryx, Python, R, Tableau, Big Data Concepts) and business knowledge to provide answers to business requests and proactively identify new opportunities
Provide the research and analysis of trends, and the development of new processes, tools, reports, and dashboards to support increased revenue from corporate accounts and greater efficiency within the sales cycle
A T-shaped professional role focused on delivering data and analytical solutions on analytics and big data platforms, acting as a technical expert within an Agile/Scrum environment.
Locations (2)
Lincoln, Lincolnshire, United Kingdom
Huntingdon, Cambridgeshire, United Kingdom
Compensation
£43k - £50k, salary dependant on skills and experience
Responsibilities
Actively contribute to work estimation
Adopt and embed agile development and continuous improvement into team ways of working
Support the onboarding of new team members & coach other Data Engineers
Actively contribute to drafting and updating service policies, procedures, work instructions and guidance notes
As a BI Solution Architect/Dimensional Modeller, design robust, secure and supportable corporate data solutions
Lead analytics engagements spanning audit, risk, finance and operations, shape practical solutions with colleagues, and develop a diverse team while helping our analytics offering grow.
Compensation
We offer a competitive starting salary of €68,600.00 for this role, with salary adjustments reflecting your experience level and expertise.
Responsibilities
Lead analytics engagements or workstreams from scoping to delivery, managing plans, resources, risks, timelines and quality.
Work with clients and engagement teams to define the business question, assess available data and agree a proportionate analytical approach.
Oversee data preparation, analysis, automation, visualisation and modelling, reviewing outputs for accuracy and practical relevance.
Present findings and recommendations to clients and colleagues, explaining assumptions and limitations clearly.
Build trusted client relationships and identify where analytics could help address further challenges.