ZipRecruiter

Log In

1

Databricks Data Analyst Jobs in Toronto, ON (NOW HIRING)

Konrad

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

... Databricks, Redshift, BigQuery) * Experience with Business Intelligence and data visualization ... Strong analytical and problem-solving skills with attention to detail * Clear written and verbal ...

State Street Global Advisors

GCS, Data Analyst

Toronto, ON · On-site

CA$90K - CA$157K/yr

Design and implement etl workflows and presentations using Databricks and PowerBI * Ensure thorough ... Analyze data from multiple sources to identify trends, patterns, anomalies, and opportunities for ...

Konrad

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

Strong SQL expertise and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) * Proficiency in Python, R, or similar language for data analysis and automation

Accenture

AI & Data Analyst

Mississauga, ON

CA$24.45 - CA$48.49/hr

Starting with ourAI Data Analyst Training curriculum, you will be workingwithAccentureteamsto ... Exposure tomodern data stack tools such as Databricks or Snowflake * Ability to work with Power BI ...

AutoTrader.ca

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

As Senior Data Analyst you will join our Seller & Listing Analytics team. You will partner with ... Experience with data modeling and ELT/ETL tools (e.g., dbt, Airflow, Databricks). * Strong ...

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing ... Exposure to AI/ML enablement and advanced analytics workloads within Databricks. * Azure ...

New

Moneris

Business Data Analyst (Contract)

Toronto, ON · Hybrid

CA$71K - CA$100K/yr

You will report to the Manager, Data Analytics. Posting Type: Replacement. Salary Range: The ... Experience working with cloud-based data platforms such as Snowflake, Databricks, or BigQuery.

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Microsoft Purview, and Power BI. Work within the agile SCRUM work ...

Td

Business Data Analyst

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

Skill in using Microsoft office such as Word, Excel, PowerPoint; knowledge of data analytical tools ... Proficiency in Databricks, Python and modern open source ML libraries Who We Are: TD is one of the ...

Architech

Part Time - Data Architect

Toronto, ON

... analytics and AI workloads. * Lead Design and implement scalable data architectures on Databricks, including lakehouse solutions leveraging Delta Lake, Unity Catalog, and medallion architecture ...

next page

Showing results 1-20

All JobsDatabricks Data Analyst JobsDatabricks Data Analyst Jobs in Toronto, ON

Databricks Data Analyst information

Does Databricks Data Analyst allow remote work?

Many organizations hiring Databricks Data Analysts offer remote work options, especially for roles involving data analysis, cloud platforms, and tools like SQL and Python. Remote work availability depends on the employer's policies and the specific job requirements, but it is increasingly common in data-related roles.

What is a Databricks Data Analyst?

A Databricks Data Analyst is a professional who uses the Databricks platform to analyze and interpret large datasets, often in cloud environments. They leverage tools like Apache Spark within Databricks to clean, transform, and visualize data, enabling organizations to make data-driven decisions. Their responsibilities typically include writing queries in SQL or Python, building dashboards, and collaborating with data engineers and business stakeholders. The role requires strong analytical skills and familiarity with cloud data platforms.

What are the key skills and qualifications needed to thrive as a Databricks Data Analyst, and why are they important?

To thrive as a Databricks Data Analyst, you need strong analytical skills, proficiency in SQL and Python, and a background in data modeling or statistics, often supported by a relevant degree. Familiarity with Databricks, Apache Spark, data visualization tools like Power BI or Tableau, and cloud platforms such as AWS or Azure is typically required. Critical thinking, effective communication, and attention to detail are key soft skills for translating complex data into actionable insights. These skills and qualities are essential for leveraging Databricks' powerful platform to drive data-driven decisions and optimize business outcomes.

How does a Databricks Data Analyst typically collaborate with data engineers and data scientists on projects?

As a Databricks Data Analyst, you will frequently work alongside data engineers and data scientists to deliver data-driven insights and solutions. Data engineers are responsible for building and maintaining the data pipelines and infrastructure, while data scientists develop models and conduct advanced analytics. Your role involves analyzing curated datasets, creating dashboards, and providing actionable reports that help drive business decisions. Effective collaboration often involves regular meetings to clarify data requirements, sharing findings through notebooks, and ensuring data quality and accessibility for all team members.

What is the difference between Databricks Data Analyst vs Data Analyst?

AspectDatabricks Data AnalystData Analyst
Required CredentialsOften requires knowledge of Databricks platform, SQL, and data visualization toolsTypically requires SQL, Excel, and basic data analysis skills
Work EnvironmentWorks within cloud-based Databricks environment, often in data-driven teamsWorks with various tools, often in office or remote settings, across multiple industries
Employer & Industry UsageUsed mainly in tech, finance, and data-centric companies leveraging DatabricksUsed across diverse industries including marketing, healthcare, finance, and more

While both roles involve data analysis, a Databricks Data Analyst specializes in using the Databricks platform for large-scale data processing and analytics, whereas a Data Analyst may work with a broader range of tools and environments. The Databricks Data Analyst typically requires familiarity with cloud-based data platforms, making it more specialized for data engineering and big data projects.

Infographic showing various Databricks Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 62% In-person, and 38% Hybrid job distribution.

Business Analyst (DataBricks/DataLake)

Jay Analytix

Toronto, ON • Hybrid

Contractor

Posted 26 days ago

Job description

Business Analyst - Databricks & Data Lake

Location: Toronto, ON (Hybrid - 3 days onsite per week)Experience: Minimum 8+ yearsEmployment 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
Employment Type: CONTRACTOR

Apply