Publié il y a 4 mois
Business Analyst (DataBricks/DataLake)
@ Jay Analytix
Toronto, Ontario
En bref
Jay Analytix is hiring a Business Analyst for Databricks and Data Lake initiatives in Toronto, on a hybrid schedule with three office days per week. The role bridges business stakeholders and data engineering teams, covering requirements, source-to-target mappings, data quality and migration delivery. The posting requires 8+ years of experience and a Bachelor's degree in a related field.
Responsabilités :
- Elicit and document business and data requirements for lakehouse initiatives
- Define source-to-target mappings and transformation rules with engineers
- Analyze and profile source data for quality and migration fitness
- Develop test plans, UAT coordination and data reconciliation
- Facilitate workshops and manage the backlog with product owners
Résumé des exigences :
- 8+ years as a Business Analyst, mostly on data projects
- Hands-on Databricks experience with notebooks and Delta Lake
- Strong SQL and ability to read PySpark or Python
- Experience with Agile tools such as Jira, Confluence and Azure DevOps
- Bachelor's degree in Business, Computer Science or Information Systems
Outils et compétences
Source et dates
Site carrière / système de candidatures · breezy
- Date publiée par l’employeur
- 2026-07-12
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-16
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Opérations |
| Expérience | 8 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Business, Computer Science, Information Systems |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Jay Analytix
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We consume complexity and deliver simplicity!
Description complète de l’entreprise
Jay Analytix has been providing smart information technology solutions to its clients. With expertise in consulting services for management and technology, our professional advisors supplement client staff and deliver solutions for fast-moving business environments. We are specialized in providing 1. Setting up and managing Data platforms 2. App Development 3. Providing Business analytics and reporting 4. Web Development ... and other services.
- Abonnés LinkedIn
- 1 106
- Personnes associées sur LinkedIn
- 17
- Bureaux déclarés
- Windsor, Ontario N9E 0B2, CA
- Chennai, TamilNadu 600034, IN
- Toronto, Ontario M5B 2L7, CA
- Frisco, Texas 75033, US
- Hyderabad, Telangana 500089, IN
- Catégories d’activité
- Information Technology
- Consulting
- Data Management
- Enterprise Software
- Business Intelligence
- Cloud Computing
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Staffing Agency
- Autres noms enregistrés
- Jay Analytix
- Jay Analytix Inc
- Spécialités
- Data Solutions
- Power BI
- MSBI
- App Development
- Azure
- Web Development
- Azure data factory
- Data warehousing
- Power BI pagination
- zoho CRM
- Zoho CRM Customization
- performance engineering
- ETL
- and AI/ML data solutions
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Jay Analytix has been providing smart information technology solutions to its clients. With expertise in consulting services for management and technology, our professional advisors supplement client staff and deliver solutions for fast-moving business environments. We are specialized in providing 1. Setting up and managing Data platforms 2. App Development 3. Providing Business analytics and reporting 4. Web…
| Champ | Valeur |
|---|---|
| Secteur | IT Services and IT Consulting |
| Taille | 11-50 employees |
| Siège social | Windsor, Ontario |
| Type d’organisation | Self-Owned |
| Spécialités | Data SolutionsPower BIMSBIApp DevelopmentAzureWeb DevelopmentAzure data factoryData warehousingPower BI paginationzoho CRM |
| Offres sur Jobsy | 11 |
| Voir la page |
Business Analyst – Databricks & Data Lake
Location: Toronto, ON (Hybrid – 3 days onsite per week) Experience: Minimum 8+ years Employment Type: Full-Time / Contract (as applicable)
About the Role
We are seeking an experienced Business Analyst with strong hands-on exposure to Databricks and modern Data Lake / Lakehouse platforms to join our Toronto-based team. In this role, you will act as the bridge between business stakeholders and data engineering teams — gathering requirements, defining data mappings and transformation logic, and driving the delivery of large-scale data platform and migration initiatives. The ideal candidate combines deep business analysis fundamentals with practical knowledge of cloud data ecosystems.
Key Responsibilities
- Elicit, document, and manage business and data requirements for data lake, lakehouse, and analytics initiatives, translating them into functional and technical specifications
- Work closely with data engineers, architects, and platform teams to define source-to-target mappings, data transformation rules, and data quality requirements
- Support the design and delivery of solutions on Databricks (Delta Lake, notebooks, workflows, Unity Catalog) and cloud data lake platforms (Azure Data Lake Storage, AWS S3, or GCP)
- Analyze and profile source system data to assess quality, completeness, and fitness for migration or integration
- Define and document data lineage, business glossaries, and metadata to support data governance initiatives
- Develop and execute test plans, including UAT coordination, data validation, and reconciliation between legacy and target platforms
- Create process flows, user stories, use cases, and acceptance criteria within Agile delivery frameworks
- Facilitate workshops and requirement sessions with business users, product owners, and technical teams
- Support prioritization and backlog management with product owners; track requirements through to delivery
- Produce clear documentation and communicate findings, risks, and recommendations to both technical and non-technical stakeholders
Required Qualifications
- 8+ years of experience as a Business Analyst, with significant time spent on data-focused projects (data platforms, data warehousing, migrations, analytics)
- Hands-on experience with Databricks — working with notebooks, Delta Lake tables, and understanding of Lakehouse architecture concepts
- Strong understanding of Data Lake concepts and cloud data platforms (Azure preferred; AWS or GCP also considered) — data ingestion, storage layers (raw/curated/consumption), and data pipelines
- Proficiency in SQL for data profiling, analysis, and validation; ability to read/interpret PySpark or Python code an asset
- Experience creating source-to-target mapping documents, data dictionaries, and transformation specifications
- Solid grasp of data governance, data quality, and metadata management practices
- Experience with Agile methodologies and tools (Jira, Confluence, Azure DevOps)
- Strong analytical, problem-solving, and critical-thinking skills with high attention to detail
- Excellent communication, facilitation, and stakeholder management skills across business and technical audiences
- Bachelor's degree in Business, Computer Science, Information Systems, or a related field
Nice to Have
- Experience in financial services, banking, or insurance data environments
- Familiarity with data modeling concepts (dimensional modeling, medallion architecture)
- Exposure to BI and analytics tools (Power BI, Tableau) and how they consume lakehouse data
- Knowledge of ETL/ELT tools (Azure Data Factory, Informatica, dbt)
- Understanding of data privacy and regulatory requirements (PIPEDA, GDPR) as they relate to enterprise data
- Certifications such as CBAP, PMI-PBA, Azure Data Fundamentals (DP-900), or Databricks Lakehouse Fundamentals
Why Join Us
- Contribute to high-visibility data modernization initiatives on a leading Lakehouse platform
- Hybrid work model based in downtown Toronto
- Collaborative environment working alongside data engineering, governance, and business teams
- Competitive compensation and benefits package
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