Sobre a empresa:

Avenue Code é uma consultoria de software focada em fornecer soluções de desenvolvimento ponta a ponta para transformação digital em todas as verticais. Somos uma empresa privada, lucrativa e estamos em uma sólida trajetória de crescimento desde o primeiro dia. Nós nos preocupamos profundamente com nossos clientes, nossos parceiros e nosso pessoal. Preferimos a palavra “parceiro” a “fornecedor”, e o nosso investimento em relações profissionais é um reflexo dessa filosofia. Orgulhamo-nos da nossa perspicácia técnica, da nossa capacidade colaborativa de resolução de problemas e do profissionalismo caloroso das nossas equipes.
A Avenue Code acredita e promove ações de pluralidade há mais de 10 anos, entendendo que reconhecer as diferenças e promover um ambiente seguro, oportunidade de emprego, representatividade e apoio são as melhores formas de promover uma cultura cada vez mais equitativa.

Sobre a oportunidade:

We are seeking a Data Analyst with strong expertise in Python coding and advanced knowledge of regression and linear optimization techniques. This role involves working on data analytics and optimization projects, with a focus on energy markets, and contributing to solutions that improve process plant operations. You will collaborate closely with business and technical teams to ensure successful integration with existing systems and provide valuable insights to stakeholders. Strong communication skills and a proactive, self-driven attitude are key to thriving in this role.
This is a hybrid role in Lisbon, Portugal.

Responsabilidades:

• Data Analysis and Preprocessing: Adapt process plant model structures based on specific plant data. Analyze, validate and clean past operation data, validate operation limits, and update affected regression calculations
• Model Validation and Testing: Run the models against past operations data, ensuring compliance with upper and lower limits, production ramping speeds, and other parameters. Test optimization models against historical data and the plant model and optimise it.
• Technical Integration: Coordinate the technical integration process with the business, project management and other involved parties. Ensure working integration to adjacent systems (e.g. Historian database, plant control system, etc.
• Report insights to stakeholders // Communication and Coordination: Engage in effective communication with business and ROC (Remote Operations Center) regarding process parameters, constraints, and test results. Support business value estimation by running scenarios against simulations and past data.
• Test Management and Continuous Optimization: Manage tests, ensuring execution and thorough analysis. Establish and maintain optimization models to run continuously. Monitor run performance and take proactive actions if runs deviate from expectations.

Qualificações necessárias:

• Proven knowledge of coding in Python
• Advanced knowledge of regression & linear optimization (Python-based, relevant libraries: pandas, numpy, scikit-learn, or-tools)
• Working experience in data analytics with a proven project/solution track record
• Skills in data analysis & visualization (Python-based, relevant libraries: pandas, numpy, plotly)
• Experience as Operations Research analyst or similar: worked with optimization models (e.g. Integer and Linear Programming) in the past
• Projects related with energy markets and experience working in similar industries (gas/oil/energy)
• Fluent English (spoken and written)
• Willingness for business travel (on an occasional basis)

Será um diferencial possuir:

• Self-driver attitude: Execute tasks self-responsible. A can-do and get-stuff-done attitude is crucial
• Good communication skills, able to effectively discuss project requirements with different hierarchy levels and disciplines (engineering, business, etc.)
• Portuguese is a plus

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A Avenue Code reforça seu compromisso com a privacidade e com todos os princípios garantidos pelas mais precisas leis globais de proteção de dados, tais como GDPR, LGPD, CCPA e CPRA. Os dados do candidato compartilhados com a Avenue Code serão mantidos em sigilo e não serão transmitidos a terceiros desinteressados, nem serão utilizados para outros fins que não a candidatura às vagas em aberto. Como empresa de consultoria, a Avenue Code poderá compartilhar suas informações com seus clientes e com outras Empresas do Grupo Compass Uol para as quais os consultores da Avenue Code estejam alocados para realizar os serviços.
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