Data Analyst/Analyste de donnees

Data Analyst (Life Cycle Value) About the Opportunity Kelly is seeking a

Life Cycle Value Data Analyst

to support a leading aircraft engine manufacturer. In this role, you will bridge business needs and digital solutions, helping drive current and future project initiatives through data analysis, automation, visualization, and stakeholder collaboration.

You will work closely with cross-functional teams, business subject matter experts, and data professionals to develop scalable, reusable solutions that deliver meaningful business value while maintaining a strong focus on user experience.

Key Responsibilities

Develop automated data solutions by collecting, cleaning, transforming, and analyzing data using Python, Excel, and Microsoft Power BI.

Create and maintain dashboards, reports, and visualizations that support business decision-making.

Collaborate with cross-functional teams, business experts, and stakeholders to understand business requirements and prioritize initiatives based on project objectives and KPIs.

Translate business requirements into actionable technical tasks and data-driven solutions.

Ensure user needs and user experience are considered throughout project development to maximize adoption and business impact.

Independently manage data-related tasks while maintaining project momentum and meeting deadlines.

Document solutions, workflows, and procedures, making technical concepts accessible to non-technical audiences.

Participate in brainstorming sessions and contribute innovative ideas to improve business processes and project outcomes.

Qualifications Required

Bachelor's degree with at least 3-5 years of relevant experience in data analysis or combination of practical studies and work experience.

Strong experience using Python for data extraction, cleansing, transformation, and analysis.

Advanced Microsoft Excel skills, including data validation, pivot tables, and formulas.

Proven experience with Microsoft Power BI, including data modeling, transformations, visualizations, and DAX.

Strong analytical and problem-solving abilities with demonstrated business acumen.

Ability to interpret complex datasets and translate findings into actionable business recommendations.

Flexible, resilient, and resourceful in a fast-paced, evolving environment.

Results-oriented with strong planning and organizational skills.

Professional-level written and spoken English, including presentation skills.

Assets

Experience with Agile methodologies and project management.

Knowledge of financial concepts such as cost escalation, NPV, and EBIT.

SAP knowledge.

Intermediate French proficiency.

Work Environment

Professional office environment in a modular or open-concept workspace.

Safety Commitment All employees are expected to:

Follow and promote workplace health and safety procedures.

Report safety incidents, hazards, or damages promptly.

Participate in incident investigations when required.

Act as a safety ambassador and role model.

Contribute ideas to improve workplace safety and risk mitigation.

Analyste de données (Life Cycle Value) À propos du poste Kelly est à la recherche d'un(e)

analyste de données Life Cycle Value

pour soutenir un fabricant de moteurs d'avion de premier plan. Dans ce rôle, vous ferez le lien entre les besoins d'affaires et les solutions numériques afin de soutenir les initiatives actuelles et futures grâce à l'analyse de données, l'automatisation et la visualisation.

Vous travaillerez en étroite collaboration avec des équipes multidisciplinaires, des experts métiers et des spécialistes des données pour concevoir et déployer des solutions évolutives et réutilisables générant une réelle valeur ajoutée pour l'entreprise.

Responsabilités principales

Développer des solutions de données automatisées en collectant, nettoyant, transformant et analysant les données à l'aide de Python, Excel et Microsoft Power BI.

Créer et maintenir des tableaux de bord, rapports et visualisations soutenant la prise de décision.

Collaborer avec les équipes multidisciplinaires et les parties prenantes afin de comprendre les besoins d'affaires et de prioriser les initiatives en fonction des objectifs et des indicateurs de performance (KPI).

Traduire les besoins d'affaires en solutions techniques concrètes et exploitables.

Veiller à ce que les besoins des utilisateurs et l'expérience utilisateur soient pris en compte tout au long des projets.

Gérer de façon autonome les tâches liées aux données tout en respectant les échéanciers.

Documenter les solutions, processus et procédures de manière claire et accessible pour les utilisateurs non techniques.

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