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

106385-1 Data Analyst

Toronto, ON ยท On-site

$100 - $102/hr

Job Title: IT - Data Analyst - Expert Request ID: 106385-1 Start/End Dates: 9/3/2026 - 3/2/2027 ... Business is under transformation journey and open to explore advance functionality of databricks.

106385-1 Data Analyst

Toronto, ON ยท On-site

$100 - $102/hr

Job Title: IT - Data Analyst - Expert Request ID: 106385-1 Start/End Dates: 9/3/2026 - 3/2/2027 ... Business is under transformation journey and open to explore advance functionality of databricks.

Data Analyst

Toronto, ON ยท 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 ...

Senior Data Analyst

Toronto, ON ยท 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

Senior Data Analyst (m/f/d)

Toronto, ON ยท 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 ...

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

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

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

Design secure, scalable platforms across Fabric, Azure and Databricks that make data ready for analytics and AI. Join Us in Building the Future At Architech, we don't just ship software. We partner ...

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Databricks Data Analyst information

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.

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 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.

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.

Are Databricks Data Analysts in high demand?

Databricks Data Analysts are in high demand due to the increasing adoption of cloud-based data platforms and the need for skilled professionals to manage large-scale data processing and analytics. Proficiency in tools like Apache Spark and SQL, along with relevant certifications, can enhance job prospects in this field.

Is it still worth it to become a data analyst in 2026?

Data analysts, including those working with platforms like Databricks, remain in demand due to the growing importance of data-driven decision making. Skills in SQL, data visualization, and familiarity with cloud-based tools are valuable, and the role is expected to continue evolving with advancements in analytics and automation technologies.
Infographic showing various Databricks Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% In-person job distribution.

Senior Data Analyst

Toronto, ON โ€ข On-site

CA$80K - CA$130K/yr

Full-time

Medical, Dental, Life, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Permanent Full Timeย 

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We are looking forย Senior Analysts to join Canada Life's Business Enablement, Data Analytics & Reporting team. We are currently hiring for multiple Senior Data Analyst roles and are seeking candidates with experience across one or more of the following skill sets:

We're hiring for experience in the following areas:

  • Senior BI Analyst - Core BI delivery focused on requirements, KPI definition, analysis, and Power BI reporting using curated datasets
  • Senior BI Specialist - Endtoend delivery specialists combining advanced Power BI development with strong dataengineering capability, owning solutions from discovery through build, validation, and rollout
  • Senior Data Foundation Analyst - Dataengineering-focused role responsible for building, enriching, and governing data pipelines and datasets that enable downstream BI and analytics

As a Senior Analyst you will join Canada Life's Business Enablement, Data Analytics and Reporting team. In this role you will support all Canada Operations and Business Enablement teams with the ideation, development, implementation, and maintenance of analytics solutions ranging from descriptive and diagnostic to predictive.

The Senior Analyst, Data & Analytics is a data subject matter expert enhancing decision making, monitoring business performance, providing actionable insight, and driving operational efficiencies using advanced analytics and statistical techniques.

In this role, you will model, analyze, and predict complex business processes. You will translate business requirements into data, reporting, and analytics projects, which you will oversee and support throughout their entire lifecycle.

What you will do

  • Translate business needs into data requirements; collect, integrate, clean, model, and analyze large datasets; and visualize and present insights to business leaders
  • Build, implement and maintain data models, custom reports, and dashboards
  • Use Azure Databricks and advanced SQL to transform and model data, and Power BI to deliver governed, insightdriven reporting and analytics solutions
  • Work with large datasets that are not consistent, clean, or fully modelled
  • Apply strong communication, influence, and strategic thinking to shape analytics solutions and drive business decisions
  • Define, implement, and monitor metrics and KPIs and ensure ongoing strategic alignment with short and long-term business objectives
  • Enable effective, efficient working relationships with business partners
  • Work closely with senior leaders to understand business drivers and enable them to make decisions based on data
  • Oversee and support projects throughout the entire analytics lifecycle
  • Assist the business in the ideation of new analytics initiatives ranging from descriptive, diagnostic, predictive to prescriptive
  • Present and communicate insights and recommendations in a visual and simplified manner
  • Retrieve, integrate, and transform data from multiple systems using SQL, Python, and other scripting languages

What you will bring

  • 3-5 years of relevant experience and a master's degree in related field of study, or an equivalent combination of bachelor's degree and extensive related experience
  • Strong experience in working with data analytics tools (SQL, Python), Databases (SQL Server), Cloud (Azure, Databricks), data visualization tools (Power BI) with demonstrated experience at creating interactive dashboards
  • Ability to write complex and efficient SQL and Python queries to extract, integrate and transform data from multiple sources and automate data pipelines
  • Advanced skills in Power BI, Data Modeling, Power Query, and DAX
  • Microsoft Power BI Data Analyst (PL300) certification preferred
  • Strong experience working with raw data and manipulating large datasets
  • Subject matter expertise in data analytics and statistical modelling
  • Polished communication and presentation skills to audiences including senior leadership
  • Strong analytical skills for problem solving and to monetize value for the organization
  • Ability to work with little to no documentation or instruction
  • Think outside the box and identify solutions to overcome obstacles
  • Proven ability to learn and handle multiple priorities in a challenging work environment
  • Experience within the Financial Services sector would be an asset
  • Reliability Status Security Clearance - this can only be completed with candidates who receive an offer of employment. This is a personal security status that is required as a condition of employment before an employee can gain access to Protected B information, assets or work sites as outlined by theย Government of Canada ย website.ย  The cost of submitting these checks will be covered by Canada Life.
    ย 

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The base salary for this position is between $80,400 - $130,400 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Lifeย 

We'reย united by a shared purpose: to improve the financial,ย physicalย and mental well-beingย of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.ย ย 

We'reย looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers,ย communitiesย and each other.ย Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you!ย 

What we offer:ย ย 

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member:ย 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annuallyย towardsย education reimbursement.ย 
  • Health & Wellness:Flexible health and dental benefits,ย plus a $5,000 mental health benefit to support your well-being.ย 
  • Time Off:In addition to regular vacation andย personal days,ย we support communityย involvement with aย volunteer day.ย 
  • Financial Security:Company-matching pension plan,share ownership program andย additionalinvestment options.ย 
  • Rewards and Recognition:ย Employee recognition programs, service milestone celebrations, employee discounts and more!ย ย 
  • Emphasis onย Community:ย We provide aย workplace whereย employeesย feel connected and supported throughย Employee Resource Groups (ERGs),ย mentorshipย programs,ย socialย clubsย andย events.ย ย 

Learn moreย aboutย Canada Life.ย ย 

We'reย committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contactย ย talentacquisitioncanada@canadalife.com. All information provided will be handledย in accordance withย applicable laws and Canada Life policies. ย 

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted.ย 

#LI-Hybridย