Data Analyst

Qui nous sommes

Chez Kyndryl, nous concevons, développons, gérons et modernisons les systèmes technologiques essentiels dont le monde dépend au quotidien. Alors pourquoi travailler chez Kyndryl? Nous allons toujours de l'avant – nous nous poussons sans cesse à aller plus loin dans nos efforts pour construire un monde plus équitable et inclusif pour nos employé.es, nos client.es et nos communautés.

Un rôle

Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your expertise in basic statistics, business fundamentals, and communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories.

In this role, you will have the opportunity to work closely with our customers as part of a top-notch team. You will dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes. Armed with your advanced analytical skills, you will draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes.

Technical Professional to Design, Build and Manage a Data Warehouse, blending core analytics with data engineering capabilities.

Your role goes beyond traditional data analysis. You will be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions. Your proficiency in cutting-edge software tools and technologies will empower you to gather, explore, and prepare data – ensuring it is primed for analysis, business intelligence, and insightful visualizations.

Collaboration will be at the heart of your work. As a Data Analyst at Kyndryl, you will collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data. Together, we will ensure the data is in its finest form, ready to deliver actionable insights.

Your unique ability to communicate and empathize with stakeholders will be invaluable. By understanding the business objectives and success criteria of each project, you will align your data analysis efforts seamlessly with our overarching goals. With your mastery of business valuation, decision-making, project scoping, and storytelling, you will transform data into meaningful narratives that drive real-world impact.

At Kyndryl, we believe that data holds immense potential, and we are committed to helping you unlock that potential. You will have access to vast repositories of data, empowering you to delve deep to determine root causes of defects and variation. By gaining a comprehensive understanding of the data and its specific purpose, you will be at the forefront of driving innovation and making a difference.

Key Responsibilities

• Data Modelling and Transformation: Design and build clean, reliable, and scalable data models within the data warehouse or Lakehouse. This involves transforming raw data from various sources into a structured and understandable format that is optimized for analysis.
• Warehouse/Lakehouse Development and Maintenance: Developing and managing the organization's analytical data repository. This includes creating data pipelines, ensuring data quality, and managing the infrastructure that makes data accessible to the broader team.
• ETL/ELT Pipeline Management: Experienced to build and maintain the processes for extracting, transforming, and loading (ETL/ELT) data from source systems into the Data Warehouse or Lakehouse, ensuring the data is fresh and reliable.
• Collaboration and Requirement Gathering: Work closely with business users to understand their data needs and with data engineers to ensure the underlying data infrastructure supports the required analytics.
• Documentation and Governance: A key responsibility is to create and maintain documentation for data models, metrics, and business logic to ensure consistency and trustworthiness in the data
  
  

If you are ready to unleash your analytical ability, collaborate with industry experts, and shape the future of data-driven decision making, then join us as a Data Analyst at Kyndryl. Together, we will harness the power of data to redefine what is possible and create a future filled with limitless possibilities.

Your Future at Kyndryl

Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Qui vous êtes

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Technical and Professional Expertise

• 8-10 years of experience as an Data Analyst
• Advanced SQL: Able to write complex, performant SQL / T-SQL queries, Views, Stored Procedures, Functions to transform and model data.
• Data Warehousing: Deep knowledge of modern cloud platforms like Synapse, SQL DWH. Building Schemas, Data Models, Partitioning, Indexing etc
• Data Transformation Tools: Proficiency with tools like dbt (data build tool) is essential for modern data transformation workflows.
• ETL/ELT Tools: Experience with data integration platforms such as SSIS, Data factory or the native integration tools of cloud providers.
• BI and Visualization Tools: Strong skills in tools like Power BI to build reports and dashboards.
• Python: A good understanding of Python is often required for scripting, automation, and more complex data manipulation tasks.
• Version Control: Familiarity with Git for managing code and collaborating on data models.
  
  

Preferred Technical And Professional Experience

• Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
  
  

Être soi-même

La diversité, c'est bien plus que notre apparence ou nos origines, c'est notre façon de penser et notre identité. Nous accueillons des personnes de toutes cultures, origines et expériences. Mais nous ne le faisons pas seuls : Nos réseaux d'inclusion des Kyndryls ne sont qu'un des nombreux moyens que nous utilisons pour créer un lieu de travail où tous les Kyndryls peuvent trouver et fournir un soutien et des conseils. Cette volonté d'accueillir tout le monde dans notre entreprise signifie que Kyndryl vous donne – ainsi qu'à votre voisin – la possibilité d'apporter votre entièreté au travail, individuellement et collectivement, et de soutenir l'activation de notre culture équitable. C'est la manière Kyndryl.

Ce que à quoi vous pouvez vous attendre

Avec des ressources de pointe et des clients de Fortune 100, chaque jour est une occasion d'innover, de développer de nouvelles capacités, de nouvelles relations, de nouveaux processus et une plus-value. Notre guichet d'apprentissage pour les employés vous donne accès à la meilleure formation du secteur pour obtenir des certifications et des accréditations, notamment Université Microsoft, Centre d'Excellence AWS Cloud, Udemy et la revue commerciale Harvard. Grâce à notre plateforme de bénévolat et de dons à l'échelle de l'entreprise, vous pouvez faire des dons, lancer des collectes de fonds, faire du bénévolat et rechercher plus de 2 millions d'organisations à but non lucratif. Chez Kyndryl, nous investissons énormément en vous! Nous voulons que vous réussissiez pour qu'ensemble, nous réussissions tous.

Faites-vous recommander!

Si vous connaissez quelqu'un qui travaille chez Kyndryl, à la question « Comment avez-vous entendu parler de nous? » pendant le processus de candidature, sélectionnez « Recommandation d'un employé » et entrez le nom de votre contact et son adresse courriel chez Kyndryl.