Find your next tech and IT Job or contract role.

Data & MI Manager Our Client is a bank based in Central London who are looking to recruit Data & MI Manager with at least 3 to 5 years’ experience of working with Data. The position is to ensure the effectiveness of data extraction and data reporting capabilities within the Bank • To support the Senior Management and Head of Compliance in the management of compliance and regulatory risks through MI analytics and reporting. Key Responsibilities • Ensure collation of client data, transactional data/activity by respective Business Units are managed and tracked accurately • Single point of reference for any data related matters within the branch • Prepare daily Transaction Monitoring report for review • Prepare monthly name screening file for Group Financial Crime Compliance (GFCC) to generate 1AML alerts • Ensure master file on full client information is managed and tracked alongside with CMS team • Prepare daily/weekly/monthly branch transaction volume by business unit, client segment etc. • Develop presentations, dashboards, reports, and other project communications and documentation, where required • Provide support to develop/test data analytic trends for profiling, quality and cost performance scoring, risk modelling, program evaluation, where relevant. • Provide recommendations on department policies, objectives and initiatives, based on MI capabilities. • Manage business expectations, manage process performance, conduct continuous improvement and causal analysis activities with business teams. • Participate as independent participant in IT, Data and Project working committees where data related considerations and insights are required. • Support the senior management other Head of Departments at the bank in London • Any other responsibilities / tasks as assigned by the Head of Compliance from time to time Experienced in SAS modelling platforms. • Basic ETL programming skills (SQL, SAS, etc) a must. • 3 years of experience of relevant banking/compliance in established bank / financial institutions. Technical/Functional skills • Knowledge of risk best practices and Models infrastructure coupled with working with data models. • Experienced in SAS modelling platforms. • Basic ETL programming skills (SQL, SAS, etc) a must. • The required understanding of the business/business units. Personal skills (Soft Competencies [Core/Leadership]) • Good judgment in enabling the provision of sound advice on regulation and practice, proactive management of compliance and regulatory risks. • Good presentation and influencing skills, required in guiding and assisting teams in putting forward proposals for clients, whenever necessary. Qualifications (Basic Degree/Diploma etc) • Bachelor's Degree or Professional Qualification in the relevant discipline (Degrees in Statistic, Information Systems, or similar This is an exciting position within a bank with interesting projects. The salary for this position is in the range £45K- £55K. Please do send your CV to us in Word format along with you salary and availability.

As a Senior Data Engineer, you will design and lead the implementation of data flows that link operational systems, analytics & BI platforms. You will be part of the Data Services team, which handles ingesting, storing, maintaining and exposing a variety of datasets. These datasets are used by analysts and data scientists to generate insights and support decision-making. The team is growing, and your role will involve bringing in new datasets, maintaining existing ones, and ensuring data is clean, accessible and high-quality

Nous recherchons un Business Analyst senior pour intervenir au sein d’une équipe Transformation & Governance dédiée à la construction d’un écosystème global d’outils achats. Objectif : soutenir le Product Owner Coupa dans le déploiement et l’évolution des solutions Procure-to-Pay au sein d’un groupe international. 🎯 Votre mission 1. Support au Product Owner Coupa Participation à la définition de la roadmap , de la stratégie d’adoption et des évolutions de la solution. Contribution à la conception , la construction et la maintenance de l’écosystème Coupa. 2. Déploiement de la solution Procure-to-Pay (P2P) Accompagnement des nouvelles entités dans le déploiement de Coupa. Coordination avec les équipes locales et les équipes IT globales. 3. Intégration & nouveaux modules Exploration, analyse et support à la mise en œuvre de nouveaux modules ou solutions externes de la suite Coupa. 4. Analyse & Data Procurement Production d’ analyses , dashboards, insights et recommandations pour améliorer la performance et l’usage de Coupa. Contribution aux initiatives de gestion et valorisation des données achats . 5. Collaboration internationale Interactions régulières avec une diversité de parties prenantes : Achats locaux, Finance, IT, Entités pays, équipes offshore (Inde). Participation à des projets transverses impliquant plusieurs directions métiers.

Data & MI Manager Our Client is a bank based in Central London who are looking to recruit Data & MI Manager with at least 3 to 5 years’ experience of working with Data. The position is to ensure the effectiveness of data extraction and data reporting capabilities within the Bank • To support the Senior Management and Head of Compliance in the management of compliance and regulatory risks through MI analytics and reporting. Key Responsibilities • Ensure collation of client data, transactional data/activity by respective Business Units are managed and tracked accurately • Single point of reference for any data related matters within the branch • Prepare daily Transaction Monitoring report for review • Prepare monthly name screening file for Group Financial Crime Compliance (GFCC) to generate 1AML alerts • Ensure master file on full client information is managed and tracked alongside with CMS team • Prepare daily/weekly/monthly branch transaction volume by business unit, client segment etc. • Develop presentations, dashboards, reports, and other project communications and documentation, where required • Provide support to develop/test data analytic trends for profiling, quality and cost performance scoring, risk modelling, program evaluation, where relevant. • Provide recommendations on department policies, objectives and initiatives, based on MI capabilities. • Manage business expectations, manage process performance, conduct continuous improvement and causal analysis activities with business teams. • Participate as independent participant in IT, Data and Project working committees where data related considerations and insights are required. • Support the senior management other Head of Departments at the bank in London • Any other responsibilities / tasks as assigned by the Head of Compliance from time to time Experienced in SAS modelling platforms. • Basic ETL programming skills (SQL, SAS, etc) a must. • 3 years of experience of relevant banking/compliance in established bank / financial institutions. Technical/Functional skills • Knowledge of risk best practices and Models infrastructure coupled with working with data models. • Experienced in SAS modelling platforms. • Basic ETL programming skills (SQL, SAS, etc) a must. • The required understanding of the business/business units. Personal skills (Soft Competencies [Core/Leadership]) • Good judgment in enabling the provision of sound advice on regulation and practice, proactive management of compliance and regulatory risks. • Good presentation and influencing skills, required in guiding and assisting teams in putting forward proposals for clients, whenever necessary. Qualifications (Basic Degree/Diploma etc) • Bachelor's Degree or Professional Qualification in the relevant discipline (Degrees in Statistic, Information Systems, or similar This is an exciting position within a bank with interesting projects. The salary for this position is in the range £45K- £60K. Please do send your CV to us in Word format along with you salary and availability.

Bonjour 🙂, Pour le compte de notre client, nous recherchons un(e) Directeur mission. Missions principales Pilotage & Management Encadrer et animer une équipe de deux Data Analysts. Apporter de la hauteur de vue et guider la conduite des analyses stratégiques. Challenger les méthodes, les KPI et la pertinence des recommandations produites. Structuration & Priorisation Organiser, articuler et prioriser les sujets data en fonction de la création de valeur. Veiller à l’alignement des projets data avec les enjeux métier et les objectifs stratégiques. Support aux Directions Métiers Accompagner les équipes Marketing dans l’interprétation des analyses et dans la prise de décision opérationnelle. Faciliter l’appropriation des insights, recommandations et plans d’actions. Aider les équipes à monter en autonomie sur les outils de datavisualisation (ex : Power BI). Coordination transverse Assurer la cohérence globale des travaux avec les responsables des pôles Data et Études. Garantir une communication fluide et un pilotage homogène entre les différentes parties prenantes internes.

Head of Digital & Data Our Client is bank based in Central London with offices across Europe. They are looking to recruit an expert candidate for the Head of Digital position – which is an exciting new position. You will have proven track of working within the banking World and delivering digital capabilities for the bank. You must have at least 5 to 10 years expertise in the digital space within the banking World. This is a senior position and will report to the Board at the bank. The Digital & Data Lead role is responsible for overseeing the strategy and development of the Bank’s digital products and processes and design and implementation of Bank wide data governance framework. Playing an important role within the Bank’s Digital Transformation programme, the role holder will: • Work with multi-disciplinary teams responsible for researching, designing, building and/or procuring, and releasing transformative user journeys – for both customers and employees. • Responsible for engaging collaboratively with the various business and support functions in order to ensure all interests are represented in the development of the Bank’s future state digital capability and to support the adoption and embedding of new digital processes. • Define the overarching digital products and processes vision, building the roadmaps and leading the prioritisation to deliver that vision in a performant, secure and user focussed way. In doing so, ensure alignment to wider Bank strategy and ensure that maximum business value is achieved. • Accountable for delivering and then driving the continual optimisation of the digital products and processes to support the realisation of a seamless, flexible customer and colleague experience. • Responsible for design and implementation of bank wide data governance framework and ensure businesses and support functions are held accountable for ownership and maintenance of accurate data within the bank’s ecosystem. • Responsible for governance, risk management and regulatory compliance activities relating to the digital products and processes under development, forging strong, effective relationships with the 1st and 2nd line control functions. • Develop an inclusive and collaborative culture where the advice and knowledge of skilled specialists around user insights, journey and UX design, technology delivery, security and infrastructure are heard and respected in order to develop highly effective digital products through a process of research, ideation and design. • Forge a strong working relationship with Technology and partner with them on the development and delivery of the digital products and processes. • Work closely with stakeholders in Group to accelerate digital development and ensure optimal ways of working. Candidate expertise: • Outstanding SME in digital product and process management and digital user experience design, within the Financial Services industry. • Customer-centric with a strong focus on end user experience and outcomes. • Demonstrable experience in the end to end lifecycle of product and process development, including managing and delivering high quality digital products and processes to end users, from ideation through to delivery, feedback and improvement. • Experience and/or a robust understanding of the bank wide processes is highly desirable. • In-depth knowledge of agile methodologies and significant experience of working within an agile environment. • High degree of proficiency in prototyping and iterative development, with experience in building product teams desirable. • Highly positive and effective leader, who actively coaches, develops, and supports team members, sharing their experience and knowledge with others. • Be driven, have high levels of personal accountability, not being afraid to be hands-on and get into the detail. • Strong influencing skills with the ability to confidently represent the Digital Product area and gain buy-in to the strategy and roadmap with a diverse set of stakeholders. • Ability to work independently and manage multiple projects simultaneously, often with competing priorities. • Have strong people skills; approachable, empathetic and able to work with people to achieve progress. • Have strong written and verbal communication skills. • A good knowledge of the Financial Services industry. • Strong awareness of the digital banking ecosystem, keeping abreast of market trends and competitor propositions. • Relevant certifications or qualifications in agile product management or aligned disciplines. • Understanding of development processes and business case development. Role requirements: • Actively Builds Relationships • Embraces Change and Technology • Creates Business Value • Role Specific Regulations • Risk Management, Governance and Controls • Consumer Duty This is a hybrid role – at least 3 days in the office in Central London. The salary will be circa £100K - £140K plus benefits – dependent on experience. Do send your CV to us in Word format along with your salary and notice period.

Ce poste vise à exploiter les données grâce à des modèles statistiques et des analyses avancées afin de faciliter des décisions commerciales éclairées et d’optimiser les résultats. Responsabilités : Développer des modèles statistiques et des algorithmes en utilisant une approche expérimentale et de découverte. Exécuter une modélisation avancée des données pour extraire des insights et des prédictions. Créer une chaîne analytique complète incluant la transformation, la structuration, la modélisation, la visualisation et l’obtention d’insights exploitables. Utiliser divers outils et méthodes pour appliquer des analyses avancées aux défis métier et optimiser les résultats. Compétences : Maîtrise de la modélisation statistique et des algorithmes. Expérience dans l’exécution de modèles de données avancés. Solides compétences en transformation et visualisation des données. Capacité à créer des insights exploitables à partir des données. Bons à avoir : • Familiarité avec les techniques d’apprentissage automatique. • Expérience avec des outils de visualisation de données comme Tableau ou Power BI. • Connaissance des stratégies d’optimisation métier.

🎯 Mission principale Concevoir, développer et maintenir des solutions de visualisation de données afin d’aider les équipes métiers à analyser, comprendre et piloter leurs activités. Le/la Dataviz transforme des données complexes en insights clairs, exploitables et orientés décision. 🔧 Responsabilités Analyser les besoins métiers et traduire ces besoins en indicateurs, tableaux de bord et reportings. Concevoir et développer des visualisations interactives (dashboards, rapports, KPI). Structurer et manipuler des données (SQL, requêtes, vues, modèles). Collaborer avec les équipes Data, IT et métiers pour garantir la qualité et la cohérence des données. Assurer la maintenance, l’optimisation et l’évolution continue des dashboards. Participer à la documentation des sources, des modèles et des méthodes. Proposer des recommandations basées sur les données et l’usage utilisateur. 🛠️ Compétences techniques requises Dataviz : Tableau / Power BI / Qlik (au moins un outil maîtrisé). Programmation : Python ou R pour traitement/automatisation. SQL : extraction, jointures, optimisation de requêtes. Bases de données : PostgreSQL, MySQL, SQL Server, Snowflake, etc. Data manipulation : Pandas, NumPy, ETL ou outils no-code/low-code. Qlicksense / Qlick view / SAS

At CGI, we empower organisations to transform the way they use data, turning insight into action and potential into measurable business success. As a Data Advisory Consultant, you’ll partner with senior leaders across industries to define data strategies, shape future-ready architectures, and drive real-world outcomes. You’ll be part of a trusted global team that delivers innovation and strategic growth, enabling clients to make smarter, faster decisions while building sustainable value. Here, you’ll work in an environment that champions collaboration, creativity, and accountability, empowering you to make a lasting difference in shaping the data-driven enterprises of tomorrow. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.

At CGI, we empower our clients to turn data into a strategic asset that drives measurable business value. As a Senior Data Architect, you’ll help shape the future of data transformation across industries — defining data strategies, designing modern cloud-based platforms, and enabling trusted, insight-rich foundations that power intelligent decision-making. Working at the forefront of architecture, innovation, and client engagement, you’ll influence enterprise-scale data programmes while collaborating with talented teams who thrive on creativity, accountability, and shared success. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.

About the role As part of our Data Insights team within the Zellis Managed Services function, this is a key role working alongside our Reporting and Insights Analysts and key internal stakeholders to maximise the value of our own data. Key responsibilities will include data extraction and transformation, data modelling and creating and maintaining ongoing data products with supporting documentation. In this role your key responsibilities will be: Generate actionable insights by analysing a wide range of Operational and Customer data sets and effectively joining the dots to align output to wider business delivery and objectives. Establish and maintain strong relationships with the Data Insights team and a broader set of internal stakeholders through attendance in meetings, gaining a clear understanding of business objectives, owning of Insights delivery and follow-on actions. Extract, collate and explore data from existing platforms alongside making recommendations for additional datasets in support of developing new insights. Work with the wider team to cleanse and document existing datasets to support the maintenance and development of reporting and insights.

Senior Data Scientist - Asset Risk Modelling London - Hybrid, 3 days in office £85,000 - £90,000 + Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working This is a brilliant opportunity for a Senior Data Scientist with strong experience in model risk management, pricing, and insurance to join a market-leading organisation during a key period of growth and innovation. The Asset Risk function is responsible for forecasting key financial risks such as Residual Value, SMR, Insurance Lease Pricing, Economic Capital, and Customer Pricing. As part of their continued expansion, they are now seeking a talented Senior Data Scientist to join the Asset Risk Modelling Team and help shape the future of their modelling capabilities. In this role, you will take ownership of developing, maintaining, and enhancing advanced forecasting and pricing models that underpin critical business decisions. Working closely with the Modelling Manager and wider stakeholders, you'll ensure the robustness and transparency of all models, while continuously improving methodologies, data use, and analytical processes. You will also play a key role in delivering the model risk management framework across the Asset Risk function. The ideal candidate will be an experienced Data Scientist/Quantitative Modeller with a strong technical background in Python, R, or similar tools, and proven experience in model development within pricing, insurance, or financial risk. You'll combine deep technical expertise with strong business understanding, communicating insights effectively to both technical and non-technical audiences. A fantastic opportunity to join a forward-thinking organisation where you'll have genuine influence, work on high-impact projects, and develop your career within a collaborative and progressive environment. The Role: Develop, implement, and maintain advanced statistical and machine learning models for pricing and risk forecasting Support the delivery and enhancement of the model risk management framework within the Asset Risk function Collaborate with business SMEs to align model outputs with strategic objectives and ensure transparency in assumptions and methodologies Provide technical guidance on data, modelling techniques, and analytical best practices Lead the continuous improvement of modelling tools, documentation, and governance standards Work closely with cross-functional teams across Asset Risk, Product, and Data to ensure consistent and efficient delivery The Person: Proven experience as a Senior Data Scientist, Risk Modeller, or similar role Strong technical skills in Python, R, or equivalent for statistical modelling and forecasting Experience within insurance, pricing, or financial risk environments Excellent understanding of model risk management principles and governance Strong communication skills with the ability to explain technical outputs to senior stakeholders Comfortable working in a hybrid model, 3 days per week in the London office

Nous recherchons un(e) ingénieur Data BI expérimenté Contexte Au sein d'une Data Factory nous recherchons à renforcer notre équipe avec un Data Engineer expérimenté, une expérience dans le secteur du e-commerce serait apprécié. La Data Factory de notre client joue un rôle central dans l'exploitation et l'optimisation des données pour soutenir les différentes initiatives stratégiques de l'entreprise. Elle se concentre sur la création d'une infrastructure de données robuste, la mise en place de pipelines de données fiables, et l'exploitation de données pour générer des insights à forte valeur ajoutée pour les équipes. Description • Participe à l'analyse du besoin avec la supervision du binôme PO/TechLead et à la conception du modèle de données permettant de répondre aux enjeux. • Utilise l'analyse des données pour fournir des éléments significatifs et éclairer la conception/mise en œuvre des projets • Conçois, développe et maintien les pipelines de données pour l'acquisition, la transformation, le stockage et la mise à disposition des données. • Optimise les performances des développements pour assurer une disponibilité et une fiabilité maximale • Identifie et résout les goulots d'étranglement et les problèmes de performances dans les flux de données • Met en place des processus et des contrôles pour garantir la qualité des données • Conçoit et met en œuvre des systèmes d'alerte, de monitoring et de reprise automatique efficaces. • Réalise la recette technique et participe à animer la recette fonctionnelle avec les utilisateurs et le PO • Rédaction des documents associés au projet (Spécifications Techniques, Cahier de recette Technique, Document d'exploitation) • Être force de proposition sur l'amélioration de la stack Data • Faire le reporting d'avancement des travaux • Support au déploiement • Assure la maintenance corrective ou évolutive • S'assure de la cohérence des livrables avec les règles et bonnes pratiques définies au sein de l'équipe Livrables Spécifications Techniques, Cahier de recette Technique, Document d'exploitation Reporting d'avancement des travaux Programme développés

About the role As part of our Data Insights team within the Zellis Managed Services function, this is a key role working alongside our Reporting and Insights Analysts and key internal stakeholders to maximise the value of our own data. Key responsibilities will include data extraction and transformation, data modelling, and creating and maintaining ongoing data products with supporting documentation. In this role your key responsibilities will be: Generate actionable insights by analysing a wide range of Operational and Customer data sets and effectively joining the dots to align output to wider business delivery and objectives. Establish and maintain strong relationships with multiple key stakeholders, internally and external suppliers, through attendance in meetings, gaining a clear understanding of business objectives, owning of Insights delivery and follow-on actions. Extract, collate and explore data from existing platforms and establish relationships between multiple sets of data alongside the identification of additional datasets in support of developing new insights. Take ownership for cleansing and documenting existing datasets to support the maintenance and development of reporting and insights. Proficient in a wide range of skills, and expert in core data analysis and processing skills, using data to drive decision making via SQL, advanced Excel, APIs, Power BI/DAX, Python and database management

📌 Data Engineer (H/F) – Poste basé à Clermont-Ferrand 3 jours de présentiel / 2 jours de télétravail 📢 Pas de portage ni de sous-traitance Nous recherchons un Data Engineer autonome , pour accompagner la transformation data de l’entreprise et soutenir les équipes métier dans leurs analyses, pilotages et initiatives de création de valeur. 🎯 Missions principales Collecter, analyser et exploiter les données pertinentes pour optimiser le pilotage des activités. Accompagner les équipes métier dans le développement, le déploiement et l’opération des solutions data. Concevoir des modèles de données (relationnel, dimensionnel, Data Vault). Développer et optimiser des pipelines ETL/ELT robustes et maintenables. Garantir la qualité et la gouvernance des données (lineage, métadonnées, quality checks…). Participer à l’évolution de l’ architecture data (Data Lakehouse, Data Mesh). Produire des visualisations et analyses accessibles (Power BI). Maintenir le catalogue de datasets à jour. Réaliser les tests selon la stratégie définie. Fournir des kits de formation et accompagner les utilisateurs dans la prise en main des solutions. 📈 Résultats attendus Données pertinentes identifiées, capturées et valorisées. Optimisation du temps, des outils et des ressources liés à la gestion data. Analyses et visualisations lisibles et exploitables par les métiers. Recommandations permettant la création de valeur opérationnelle. Amélioration continue des services et processus grâce aux insights data. Respect des normes éthiques et de gouvernance du groupe. Promotion et documentation des produits data pour faciliter leur maintien dans le temps. 🧠 Compétences requises Data Engineering Modélisation : relationnelle, dimensionnelle, Data Vault Pipelines ETL / ELT Gouvernance : data lineage, qualité, catalogage Architectures data modernes : Data Lakehouse, Data Mesh Langages SQL avancé Python / PySpark avancé Technologies Dataiku Power BI Databricks Azure Data Factory Azure Logic Apps 📍 Conditions Poste basé à Clermont-Ferrand 3 jours de présentiel / 2 jours de télétravail Pas de portage, ni de sous-traitance

Contexte business Accompagner les Business Process Owners en leur fournissant des dashboards et des analyses pertinentes sur les données issues : Principalement de Cornerstone onDemand pour la première personne qui travaillera sur les données formation Sur les données issues de Workday pour la seconde personne qui travaillera sur les données Talent & Performance Objectifs du projet Au sein du HR Data Office, vous accompagnerez les Business Process Owners de la formation et du Talent & Performance dans la définition, la création de tableaux de bords PowerBI et la mise en avant des éléments pertinents pour servir ces deux fonctions. Résultats attendus & Enjeux L’analytics engineer est le pont entre le métier et le SI, garantissant que les visualisations de données créées répondent aux objectifs et aux attentes des Business Process Owners. Définir et proposer des indicateurs de suivi clés pour et avec les équipes Proposer des indicateurs pertinents Analyses de données d’apprentissage quantitatives et qualitatives Créer, mettre à jour et maintenir les dashboards Power BI Etudier les différentes options de reporting de la plateforme Cornerstone onDemand pour la première personne qui travaillera sur les données de formations et avoir une expertise sur les reportings existants de la plateforme Workday pour la personne qui travaillera sur les données de Talent & Performance Présenter les dashboards et rapports aux équipes et stakeholders Fournir une documentation détaillée de ce qui sera mis en place. Sujet (Préciser les problématiques et les besoins ainsi que les objectifs de retour sur l’investissement Définir les exigences de dashboard : Le/La Analytics Engineer, orienté/e métier (donc ayant des connaissances sur l’outils de formation Cornerstone onDemande ou Workday), doit assurer la liaison entre les BPOs et les équipes techniques. Il/elle doit traduire et prioriser les besoins métier en exigences claires pour la création des dashboards. Créé, maintenir des Dashboards sous PowerBI : Le/La Analytics Engineer devra maintenir et faire évoluer les dashboards existants, et également en créer de nouveaux en fonction des besoins du service. Analyser l’existant : Il/Elle doit examiner les données historiques et actuelles pour identifier les points forts et les domaines d’amélioration. Il/Elle doit fournir des insights basés sur ces données afin d’aider à la prise de décision et d’améliorer la partie opérationnelle. Identifier les tendances : L’analyse des données doit permettre de détecter les tendances émergentes, les comportements récurrents et les anomalies. Support à la Prise de Décision : Fournir un support analytique pour les décisions stratégiques et opérationnelles, en expliquant les résultats de l'analyse et en aidant les parties prenantes à interpréter les données. Il/Elle doit être force de proposition pour définir les KPIs pertinents pour mettre en avant les impacts au sein du client. Livrables du fournisseur (rapports / documentation) Dashboards on PowerBI Reports on cornerstone Reports on Workday Documentations on the developed dashboards KPIs