Première détection par notre source: à l’instant
Data Analyst IV
@ Motion Recruitment
Toronto, Ontario
Résumé des exigences :
- Required Skills & Experience
- 8+ years of experience in data analytics, business intelligence, business analysis, product ownership or related roles
- Undergraduate degree in Computer Science, Data Analytics, Mathematics, Engineering, Finance, or a related field
- Hands-on experience as both a Product Owner and a Data Analyst
- Desired Skills & Experience
- Financial services or banking experience
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Motion Recruitment
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 5 |
This role is half analyst and half product owner, and you’ll get to do both for real. You’ll set the roadmap and run the backlog, and you’ll also build the dashboards and datasets yourself. You’ll work directly with Risk leadership and senior stakeholders on reporting that matters to the business. You’ll also help with a large data modernization effort that moves reporting off manual processes and onto cloud self-service analytics. We want someone who has been a product owner and a hands-on analyst at a large organization and is comfortable switching between the two.
Contract Duration: 15 - 20 months
Required Skills & Experience
- 8+ years of experience in data analytics, business intelligence, business analysis, product ownership or related roles
- Undergraduate degree in Computer Science, Data Analytics, Mathematics, Engineering, Finance, or a related field
- Hands-on experience as both a Product Owner and a Data Analyst
- Advanced Power BI skills: data modelling, DAX, Power Query, dashboard/report development and performance optimization
- Proficiency in Python and SQL
- Financial services or banking experience
- Experience with Azure Data Factory, Databricks, and Unity Catalog
Tech Breakdown
- 40% Power BI
- 25% SQL
- 20% Python
- 15% Azure
- 50% Collaboration
- 35% Hands-on
- 15% Management Duties
Use of AI in Hiring: Yes
Posted By: Emma Borges
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.