Posted 4 months ago
Business Analyst (DataBricks/DataLake)
@ Jay Analytix
Toronto, Ontario
Overview
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.
Responsibilities:
- 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
Requirements summary:
- 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
Tools & skills
Source and dates
Employer career site / ATS feed · breezy
- Employer posting date
- 2026-07-12
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-10-16
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Business operations |
| Experience | 8+ years |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Business, Computer Science, Information Systems |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Jay Analytix
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We consume complexity and deliver simplicity!
Full company description
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.
- LinkedIn followers
- 1,106
- People associated on LinkedIn
- 17
- Reported office locations
- Windsor, Ontario N9E 0B2, CA
- Chennai, TamilNadu 600034, IN
- Toronto, Ontario M5B 2L7, CA
- Frisco, Texas 75033, US
- Hyderabad, Telangana 500089, IN
- Business categories
- Information Technology
- Consulting
- Data Management
- Enterprise Software
- Business Intelligence
- Cloud Computing
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Staffing Agency
- Other recorded names
- Jay Analytix
- Jay Analytix Inc
- Specialties
- 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
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
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…
| Field | Value |
|---|---|
| Industry | IT Services and IT Consulting |
| Company size | 11-50 employees |
| Headquarters | Windsor, Ontario |
| Organization type | Self-Owned |
| Specialties | Data SolutionsPower BIMSBIApp DevelopmentAzureWeb DevelopmentAzure data factoryData warehousingPower BI paginationzoho CRM |
| Open jobs on Jobsy | 11 |
| View 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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