Graduate Program participant supporting Australia's Defence Industry through hands - on projects and professional development initiatives.
About the role
- Third-party Reporting & Analytics Lead at Morgan Stanley Montreal leveraging GSS data for reporting solutions. Responsible for delivering insights into third-party relationships and optimizing expenses in a fast paced environment.
Responsibilities
- Turn business requirements into solutions that drive meaningful reporting and analysis for stakeholders across Sourcing and the Firm.
- Oversee/work with global and outsourced teams to drive operational excellence and consistency.
- Write complex queries for large volumes of data (joins, functions, subqueries, etc.).
- Work independently with stakeholders for any ad hoc data requests or modifications to existing reporting solutions and dashboards.
- Monitor a healthy pipeline of deliverables to ensure they are correctly prioritized and completed on time.
Requirements
- At least 6 years of experience in a professional setting with a strong focus on reporting and data analytics.
- Bachelor's degree in business, Computer Science, Information Systems, or related field.
- Experience of collecting, analyzing and synthesizing large and complex datasets.
- Experienced use of BI tools such as SQL, Snowflake, Dataiku, Tableau, PowerBI or similar, and Microsoft Office Suite.
- Understanding/interest in how AI solutions can enhance/optimize data practices.
- Industry experience with sourcing (Ariba on demand), procurement, accounts payable, third-party data and expense management (preferred).
- Knowledge of French and English is required.
Benefits
- We offer a hybrid work environment, combining remote work and attendance in the office.
- Professional development opportunities.
- Comprehensive employee benefits and perks.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Science Intern leveraging skills in statistics and programming for data - driven projects at Revolve. Collaborating with marketing and operations for insightful analytics and strategy recommendations.
Senior AI & Data Scientist leading advanced analytical model development for tech company. Ensuring robust data architecture and deploying AI solutions from analysis to production.
Senior Data Scientist responsible for enhancing mapping and routing solutions at Vay. Utilizing data science and machine learning to improve navigation in urban mobility systems.
Data Scientist transforming complex data into valuable insights for adp MERKUR GmbH. Develops machine - learning models and collaborates with stakeholders for data - driven decisions.
Senior Real World Data Scientist providing statistical and epidemiological expertise in nutrition and health research. Analyzing large scale observational data and guiding project teams in statistical methodologies.
Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
Clinical Data Manager supporting the biospecimen and clinical data management for WVU Cancer Institute. Engaging in data collection, management, and reporting for research and quality assurance.
Data Manager coordinating AI development processes to govern and manage data for medical devices at GE HealthCare. Collaborating with AI/ML engineers and tracking compliance and readiness throughout the lifecycle.
SMAI Manager leading a talented team to develop advanced factory scheduling and automation solutions at Micron. Collaborating globally to enhance manufacturing capabilities and deliver best practices.