Job title: Senior Associate/Manager – Clinical Central Services & Innovation
Company: Eli Lilly
Job description: are determined to make life better for people around the world. Purpose: The Clinical Central Services and Innovation (CCSI… and Analytics (CDDA) and Product Research and Development (PRD) to influence trial design and operationalize innovation solutions…
Expected salary:
Location: Cork
Job date: Thu, 11 Apr 2024 22:27:24 GMT
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Principal Intelligent Automation and AIOps Software
Your work days are brighter here.
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it’s what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
About the Team
As a member of the Intelligent Automation team you will assist and lead in the research, development, build, and support of scale remote procedure call, automation, orchestration, and heuristics-based DevOps/AIOps solutions across a wide swath of Workday’s technical areas. Our IA team has built several critical tools that support Workday’s SaaS properties, its engineers, and its management. Our products and tools typically go from a need based conceptual discussion with our stakeholders to production deployment. We follow agile methodologies. We look to amplify or reuse our existing frameworks where possible but are always developing and evaluating new technology to meet our customer’s needs:
Our key focus:
To maximize Workday’s automation investments by creating platforms and services that enable engineers the ability to compose, execute, schedule, and track highly repetitive automation and orchestration tasks through a consistent, intuitive, and scalable self-service framework.
Provide cost optimization by improving operational efficiency and business agility through automation
Provide risk mitigation by converting error prone human driven manual tasks into data, event, or response initiated repeatable automation as code at scale
About the Role
Position Overview
As a member of the Intelligent Automation team you will assist and lead in the research, development, build, and support of scale remote procedure call, automation, orchestration, and heuristics-based DevOps/AIOps solutions across a wide swath of Workday’s technical areas. Our IA team has built several critical tools that support Workday’s SaaS properties, its engineers, and its management. Our products and tools typically go from a need based conceptual discussion with our customers to production deployment. We follow agile methodologies. We look to amplify or reuse our existing frameworks where possible but are always developing and evaluating new technology to meet our customer’s needs:
Our key focus:
- To enhance Workday’s automation investments by creating platforms and services that enable engineers the ability to compose, execute, schedule, and track highly repetitive automation and orchestration tasks through a consistent, intuitive, and scalable self-service framework.
- Provide cost optimization by improving operational efficiency and business agility through automation
- Provide risk mitigation by converting error prone human driven manual tasks into data, event, or response initiated repeatable automation as code at scale
About You
Basic Qualifications for Senior Engineer:
Other Qualifications:
Core Technical/Engineering Requirements
- NOTE: The following are examples of specific technical items that can be swapped with equivalent technologies. The interviewer will be able to distinguish between related technologies and be able to determine how the candidates technical experience matches with the necessary technical skills to perform the job.
- IaaS technology – AWS/Azure/GCP – Full Understanding and ability to construct a complete cloud infrastructure composed of compute, storage (object/block), network, database, interfacing services, security rules, containers, and container management technology (CNCF). Candidate should have familiarity with how to perform build automation and provisioning tasks through terraform, puppet/chef/ansible, helm, k8s etc.
- Core Coding Experience – Highly proficient in at least one of the following functional languages: Ruby, Go, C, Java, or Python. Ability to transfer tacit knowledge of one language to another within a reasonable period. Reference-able work on Opensource projects within GitHub are a plus.
- Data Stream and Steam Manipulation – Experience and solid background in Streaming technologies including but not limited to Kafka Streams, RMQ, NATS Streaming etc. Understanding of how to construct and interact with stream processors at scale.
- Architecture type experience – Strong familiarity with various architecture types from SOA, MSA, Monolithic. Ability to design, code, contribute to applications that require high degrees of availability, fault tolerance, and can provide spanned coverage on unreliable infrastructures. (including compute and network)
- Agile Methodologies – Have familiarity with how to work and interact within an Agile team.
Basic Qualifications for Principal Engineer:
Other Qualifications:
Core Technical/Engineering Requirements
- NOTE: The following are examples of specific technical items that can be swapped with equivalent technologies. The interviewer will be able to distinguish between related technologies and be able to determine how the candidates technical experience matches with the necessary technical skills to perform the job.
- IaaS technology – AWS/Azure/GCP – Full Understanding and ability to construct a complete cloud infrastructure composed of compute, storage (object/block), network, database, interfacing services, security rules, containers, and container management technology (CNCF). Candidate should have familiarity with how to perform build automation and provisioning tasks through terraform, puppet/chef/ansible, helm, k8s etc.
- Core Coding Experience – Highly proficient in at least one of the following functional languages: Ruby, Go, C, Java, or Python. Ability to transfer tacit knowledge of one language to another within a reasonable period. Reference-able work on Opensource projects within GitHub are a plus.
- Architecture type experience – Strong familiarity with various architecture types from SOA, MSA, Monolithic. Ability to design, code, contribute to applications that require high degrees of availability, fault tolerance, and can provide spanned coverage on unreliable infrastructures. (including compute and network)
- Stakeholder Analysis – Ability to interview and form relationships with our engineering and management customers to satisfy their needs and deliver functional software in a timely manner.
- Agile Methodologies – Have familiarity with how to work and interact within an Agile team.
Our Approach to Flexible Work
spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you’ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote “home office” roles also have the opportunity to come together in our offices for important moments that matter.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
Software Development Engineer, Amazon Time & Pay Innovation
Job title: Software Development Engineer, Amazon Time & Pay Innovation
Company: Amazon
Job description: defects, are available on-demand as new businesses launch, and flexibly support future business innovation. T&PA serves…DESCRIPTION Amazon Time & Pay Innovation (T&PA) organisation is looking for Software Development Engineers who enjoy…
Expected salary:
Location: Dublin
Job date: Fri, 12 Apr 2024 05:09:23 GMT
Apply for the job now!
Systems Engineer, Managed Operations
Job title: Systems Engineer, Managed Operations
Company: Amazon
Job description: must have the legal right to work in Ireland PREFERRED QUALIFICATIONS Operating 24×7 high-availability, distributed software… that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the…
Expected salary:
Location: Dublin
Job date: Sat, 13 Apr 2024 04:51:31 GMT
Apply for the job now!
Junior Data Scientist – Life Sciences at WWBP-Bip Group
- Strong consulting mindset with excellent relationship-building and communication abilities.
- Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment, demonstrating precision and stress tolerance under tight deadlines.
- Goal-oriented with a keen focus on delivering client-centric solutions.
- Willingness to travel domestically and internationally as required.
Perchè Bip?
People at the center of our culture
Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.
Lavorare in BIP è un’esperienza sfidante, in cui il merito paga e l’innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.
Challenge yourself
Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.
Unlocking your potential
Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.
Work-life Integration
Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.
Diversity, Equity & Inclusion
Valorizziamo l’unicità e ci impegniamo a garantire che tutte le nostre persone abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell’ambiente di lavoro
Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.
Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.
Next Steps
Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente.
Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.
Su di Noi
Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.
Grazie a questo percorso siamo oggi oltre 5000 professionisti, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell’ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IoT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.
Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.
Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono dilavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.
Associate Director – Data Science (42618) at Groupe
Around the world, SYSTRA’s specialists plan, design, integrate, test, commission, project manage and deliver mass transit and mobility solutions that are relied on by more than 50 million people every day.
For more than 60 years, the Group has been committed to helping cities and regions contribute to their development by creating, improving, and modernising their transport infrastructure with sustainability, accessibility, and innovation at the heart of our designs. With over 10,300 colleagues globally and around 1000 in the UK & Ireland we are growing significantly and seeking out the very best talent to join the SYSTRA signature team and be part of leading the way in infrastructure design.
We currently have a vacancy for a Associate Director in our Data Science Team to join us at SYSTRA. The Associate Director will play a crucial role in driving growth and delivering for clients within transport and adjacent sectors such energy and the environment. This role requires a strategic thinker with a deep understanding of the industry landscape, strong networking skills, and the ability to identify and capitalise on business opportunities. The Associate Director will be responsible for cultivating relationships with potential clients, exploring new markets, and developing innovative strategies to expand our client base and revenue streams. A key requirement of this role will be identifying market opportunities and responding to tenders with winning proposals.
This role could be based from either our Dublin, Reading, Birmingham, Manchester or London offices and will benefit from SYSTRA’s hybrid working pattern, where the successful applicant will balance time on site with time spent working from home.
Main Duties
- Proposal Writing: Lead the development of high-quality, compelling proposals that effectively articulate our company’s capabilities, expertise, and unique value proposition. Ensure proposals are well-structured, concise, and persuasive, addressing all client requirements and evaluation criteria.
- Manage proposal timelines and deadlines effectively, coordinating with internal teams to gather necessary inputs and meet submission deadlines. Prioritise tasks and allocate resources accordingly to ensure timely delivery of high-quality proposals.
- Work closely with other departments, including engineering, marketing, and finance, to ensure seamless project execution and delivery.
- Build and maintain strong relationships with existing and potential clients, understanding their requirements, and providing tailored solutions to meet their needs.
- Collaborate with the team to develop and implement business development strategies aligned with the company’s growth objectives and target markets.
- Identify and pursue new business opportunities through proactive lead generation activities, such as networking events and industry conferences.
- Project delivery: Lead on the delivery of data science projects to the client’s satisfaction.
Skills and Experience
- Deep knowledge in the transport, or an adjacent sector developed though delivering successful projects for clients.
- Clear understanding of how data science can benefit clients who are working to improve transport outcomes for society and achieve net zero goals.
- Evidence how you have applied previous data science experience to deliver successful outcomes for clients.
- Developed and responded to technical project briefs.
- Oversight of client proposals and projects from start to successful delivery.
- Strong communication skills and able to engage easily with wide range of stakeholders internally and externally.
- Build strong relationships with new clients.
- Strategic networking to identify new opportunities.
- Working with technical and marketing colleagues to define and present services to the market.
- Ability to deliver exceptional customer service.
- Development of relevant market thought leadership.
Why SYSTRA?
Our three core values: Excellence, Connected Teams and Bold Leadership are kept at the heart of everything we do. We strive for the highest levels of technical excellence, achieving the best results through teamwork, both locally and internationally, and reward innovative thinking through encouraging all colleagues to think as leaders. We offer clear and well supported pathways for career development and qualification attainment, a competitive remuneration package including a bonus and private healthcare, an electric car scheme and a broad suite of flexible benefits to suit your lifestyle.
Flexibility
Because we value who you are as much as what you do, we want you to feel supported at work. We offer hybrid working, balancing the benefits of working from home with time in our modern, well-equipped offices for that crucial in-person contact, team development and collaborative working. We also recognise that life doesn’t always run to the same schedule for everyone, so we have a dedicated flexible working policy to support you in tailoring your work life to reach your full potential, for more details on this, please get in touch.
Diversity & Inclusion
We provide a warm welcome and encourage applications from a diverse range of people who can enrich our company and offer perspectives which will drive better solutions in a truly inclusive environment. Our employee led working groups and clearly defined strategy help us to keep at the leading edge of important issues and keep us accountable. We want our colleagues to feel comfortable to bring their whole selves to work and continually seek new ideas and contributions to ensure we continue to grow and develop in this space.
Wellbeing
It’s no surprise that people do their best work when they feel physically and mentally supported. Our SYSTRA Wellness Programme offers a wide range of support; from Wellness champions to free health checks, healthy eating workshops and regular seminars, alongside access to a wide range of external support. We offer two paid days for charity work and an ever-growing social calendar.
Apply and find out more about how SYSTRA can support you in your career journey. If you require any adjustments or financial assistance to support you in your application or interview process please email:
re*******************@sy****.com
where your request will be treated confidentially and with respect. We pledge to offer an interview to any candidates with a disability who apply for a role and meet the minimum criteria.
As we are always looking to expand our team, we would still be interested in hearing from you if you fulfil most, but not all, of the relevant criteria for the role and if you are a returner looking to restart your career after a period outside the workplace – you could be just what we are looking for.
Data Science Manager at LexisNexis Risk Solutions UK
Data Science Manager
About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com
About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and risk.
About the Role: LexisNexis Risk Solutions is currently looking for a Data Science Manager to manage a team performing statistical analysis and data modelling tasks to support product development projects. The ideal candidate will have experience in data mining, statistical methods, and multiple modelling / scoring techniques. They will balance managing a small team of data scientists, liaising with internal teams on requirements and deliverables, performing research projects and contributing to the advancement of the group.
Responsibilities
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Leading the development and testing of new analytical features and predictive credit and fraud risk models in partnership with product and strategy teams.
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Working with our data and technology partners to streamline the deployment of new risk products and product features.
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Working with Data Science leaders to set future strategy and team direction.
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Developing and maintaining new frameworks, methodologies, and governance to support our strategic objectives.
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Educating internal stakeholders about our data science processes and requirements, ensuring that collaboration with other business teams runs smoothly.
Requirements
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Experience of leading data scientists and/or other technical roles
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Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences
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Show Initiative and tenacity help scale up an analytics function, including developing future leaders.
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Demonstrate expertise in Data Science and/or Statistical Analyses with experience of building advanced models
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Experience across several coding languages used in the Data Science field (e.g. R, Python, SQL).
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Experience processing large data sets.
Learn more about the LexisNexis Risk team and how we work here
#LI-PL1
#LI-Hybrid
At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK .
Please read our .
Data Science Engineer Co-Op at Sky Star Eight Limited
We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.
Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.
The Crown Is Yours
As a Data Science Engineer Co-Op, you will have the opportunity to learn data science and its application to sports, and the betting industry. The successful applicant will work within the data science engineering team to develop, test and deploy models into production. This co-operative will run from April until August where you will have the chance to be mentored by experienced data science engineers and work on meaningful projects for DraftKings.
What You’ll do as a Data Science Engineer Co-Op
- Create statistical and machine learning models for predicting the outcome of sporting events.
- Data engineering of sportsbook data assets to assist in data science model development.
- Establish and monitor robust data flows between data science applications and the rest of the organisation.
- Implement data science applications in Python.
- Create automatic tests to ensure accuracy of applications.
- Build advanced data-driven analytics tools for monitoring.
- Research new approaches to optimise the performance of models and data science processes.
What You’ll Bring
- Studying for a Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field is required for this program.
- Experience using Python.
- Knowledge of object-oriented programming is beneficial.
- Some understanding of data science and statistical modelling principles will be considered an asset.
Join Our Team
Head of Data Science, AI & ML at Apex Group
Description
About Apex
Apex Group Ltd., established in Bermuda in 2003, is a global financial services provider. With over 80 offices in 70 countries worldwide and more than 12,000 employees, Apex Group delivers an expansive range of services to asset managers, financial institutions, private clients and family offices. The Group has continually improved and evolved its capabilities to offer a single-source solution through establishing the broadest range of services in the industry; including fund services, digital onboarding and bank accounts, depositary, custody, super ManCo services, corporate services including HR and Payroll and a pioneering ESG Ratings and Advisory solution. Apex Group’s purpose is to be more than just a financial services provider and is committed to driving positive change to address three core areas; the Environment and Climate Change, Women’s Empowerment and Economic Independence, Education and Social Mobility.
Life at Apex isn’t just about the work you do, it’s about embracing the culture and loving what you do. Every employee plays a part in making Apex who we are today and the more that we grow, the more important that becomes. Whatever your career path or specialism Apex ensures it rewards loyal and dedicated employees. The international nature of our business and global network of offices means that there are opportunities to broaden your life experiences and take both short-term or permanent relocation options.
Job Specification
We are seeking an experienced and visionary Head of Data Science specializing in AI and ML to lead our dynamic team of data scientists and drive our data-driven initiatives. As the Head of Data Science, you will be responsible for developing and executing our AI and ML strategy, leading the development of advanced models, AI driven products and collaborating closely with cross-functional teams to drive innovation and business growth.
Responsibilities:
- AI & ML Strategy Development: Develop and execute a comprehensive AI and ML strategy aligned with organizational goals and objectives.
- Team Management and Leadership: Lead and mentor teams providing guidance, coaching, and professional development opportunities to foster a high-performing culture.
- Advanced Machine Learning Models: Drive the development and implementation of advanced models and algorithms to extract actionable insights from complex datasets.
- Research & Development: Stay abreast of the latest advancements in AI and ML technologies and methodologies, and lead R&D efforts to continuously improve our capabilities.
- Collaboration: Collaborate closely with cross-functional teams, including data engineering, product management, and business development, to integrate AI and ML solutions into our products and services.
- Project Management: Oversee the end-to-end execution of data science projects, ensuring timely delivery, quality, and alignment with business objectives.
- Performance Monitoring & Optimization: Establish key performance indicators (KPIs) and metrics to measure the effectiveness of AI and ML initiatives and drive continuous improvement through optimization and iteration.
- Stakeholder Communication: Communicate complex technical concepts and insights to non-technical stakeholders in a clear and compelling manner and serve as a trusted advisor on data science matters.
- Compliance & Ethical Considerations: Ensure compliance with relevant data privacy regulations and ethical guidelines and promote a culture of responsible AI and ML usage.
Qualifications and Skills:
- Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven track record of leadership in data science, with at least 7 years of experience in leading AI and ML teams/projects.
- Deep expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
- Proficiency in programming languages such as Python, R, or Java, and experience with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders.
- Experience working in Financial Services and asset management is a plus.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is desirable.
- Demonstrated commitment to continuous learning and professional development.
- Experience in implementing analytics solutions within multinational financial services organizations.
- Familiarity with cloud-based analytics platforms and tools.
- Previous leadership role within the financial services, technology, or consulting industry.
Join Apex Group as the Head of Data Science Ai & ML and lead the transformation of data into actionable insights and new products through leveraging advanced tools and techniques with AI & ML, shaping the future of our global financial services. Drive strategic decisions, foster innovation, and propel our organization forward by harnessing the power of analytics on an international scale.
What you will get in return:
A genuinely unique opportunity to be part of an expanding large global business. Joining Apex Group will provide you with a platform for professional and personal success and an environment where you can truly make an impact.
Our people are our greatest asset and we believe learning is central to developing talent, nurturing strong leaders, fostering a supportive company culture and ultimately drives our success.
DATA ANALYST Performance Industrielle at La Coopération
La Coopération Agricole est la représentation unifiée des entreprises coopératives agricoles qui jouent un rôle incontournable dans l’économie agricole, agroalimentaire et agro-industrielle française. Porte-voix politique et force de proposition auprès des pouvoirs publics français et européens, des médias et de la société civile, La Coopération Agricole a pour mission de promouvoir le modèle coopératif en valorisant son action économique sur les territoires.
Créée à l’initiative des coopératives agricoles, La Coopération Agricole // Solutions+ contribue, grâce à des solutions uniques, à accélérer les transitions qu’elles doivent engager dans les prochaines années : Evolution des métiers et des compétences, Climat, Performance Industrielle et Intelligence Artificielle.
Cette mission se concrétise à travers des solutions « uniques » conçues sur-mesure, forgées par son expertise sectorielle, coconstruites avec ses partenaires et toujours à la pointe de l’innovation. L’offre de LCA // Solutions+ en matière de performance industrielle se décline à travers des solutions d’optimisation (OptiFlux, OptiVentil, OptiElec, OptiSéchage…), des missions de conseil et d’audit (Conservation des grains, optimisation énergétique, supplychain, pérennité des structures) et des formations « métiers ». Pour répondre au développement de ses solutions de la gamme des « Opti» en y intégrant l’IA, La Coopération Agricole Solutions+ recrute un(e) Data Analyst Performance Industrielle.
Missions
Le ou la candidate retenu(e) accompagnera de manière opérationnelle les coopératives agricoles dans le déploiement des solutions « Opti » en réalisant les missions suivantes :
• Recueillir et extraire des sources de données pertinentes et les traduire ensuite en données statistiques,
• Traiter, exploiter et intégrer des données en lien avec les experts « Métiers »,
• Créer des dashboards, mettre en place des KPIs et reporting des performances pour donner une vision cohérente des résultats,
• Mettre en place des process/requêtes et automatisations,
• Produire des analyses métiers et de recommandations aux utilisateurs des solutions,
• Contribuer à l’évolution des solutions en participant à la rédaction de roadmap et de cahiers des charges.
Dans le cadre du plan « IA » du LCA // Solutions +, vous êtes aussi amenés à participer ou à piloter différents projets transversaux. En tant que collaborateur rattaché directement au directeur, vous intégrerez une équipe diversifiée où règne une grande solidarité.
Nous entretenons une bonne ambiance de travail, caractérisée par un engagement et une exigence élevée en raison du sens de notre mission. Déplacements fréquents en province pour accompagner les coopératives.
Profil
Diplômé d’un Bac+5 avec une spécialité ” data analyst”, vous êtes orientés clients Externes et Internes, vous êtes rigoureux, tenace et patient, dynamique et vous avez un bon esprit de synthèse.
• Vous êtes autonome et faites preuve d’initiatives,
• Vous maîtrisez les systèmes d’informations et logiciels (SAP, Excel, Web Analytics, BI, SAS, VBA, Python etc.),
• Vous avez des qualités relationnelles, vous appréciez le travail en équipe avec de multiples interlocuteurs tout en sachant travailler en autonomie,
• Esprit d’initiative, rigoureux, organisé, réactif et d’esprit analytique Vous avez une première expérience (5 ans d’expérience minimum).dans la gestion de projet et les OAD en milieu agricole.
Informations complémentaires
• Contrat à durée indéterminée à temps plein
• Lieu : A définir
• Possibilité de 4 jours de télétravail par semaine
• Déplacements fréquents France entière
• Rémunération : selon profil