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Data Analytics Jobs in Hamilton, ON (NOW HIRING)

Giant Tiger

BI Developer, Data & Analytics

Ottawa, ON · Remote

Job Title BI Developer, Data & Analytics About This Role: Workplace Arrangements : This is a fully remote role! The incumbent may be asked to come onsite to our Ottawa, Ontario Home Office quarterly ...

McKesson

Manager, Data Analytics

Mississauga, ON · Remote

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for ...

New

McKesson

Manager, Data Analytics

Mississauga, ON · Remote

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for ...

New

Carter's

Data Analyst

Mississauga, ON

... in Data Analytics or related field or equivalent work experience. - Exposure to Retail Planning, KPIs and fundamentals. OUR TEAM MEMBERS: - Lead Courageously: Have a strong sense of personal values ...

McKesson

Sr. Data Specialist

Mississauga, ON · On-site +1

CA$99K - CA$132K/yr

This individual will provide in-depth advanced data product architecture and engineering and analytical insight, while working in a collaborative environment to solve business problems.This person ...

McKesson

Sr. Data Specialist

Mississauga, ON · On-site +1

CA$99K - CA$132K/yr

This individual will provide in-depth advanced data product architecture and engineering and analytical insight, while working in a collaborative environment to solve business problems.This person ...

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Showing results 1-20

All JobsData Analytics JobsData Analytics Jobs in Hamilton, ON

Data Analytics information

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Hamilton, ON? The most popular types of Data Analytics jobs in Hamilton, ON are:
What cities near Hamilton, ON are hiring for Data Analytics jobs? Cities near Hamilton, ON with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Hamilton, ON as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Specialist Data & Analytics

Chartwell Retirement Residences

Mississauga, ON • Hybrid

Full-time

Posted 13 days ago

Job description

The Opportunity

We are seeking a highly skilled and motivated Data and Analytics Specialist to join our growing Data and Analytics team. The ideal candidate will bring deep technical expertise in Snowflake, Azure cloud services, SQL, Python and Power BI, to help design, develop, and optimize data solutions that support strategic initiatives across the organization.

Key Accountabilities
  • Develop, optimize, and maintain robust data pipelines and ETL processes using Azure Data Factory, Azure Data Lake, and Snowflake.
  • Write, read, and debug complex SQL queries and Snowflake stored procedures to support data transformation and reporting needs.
  • Create and deploy scalable Python scripts and Azure Functions for automation, data processing, and advanced analytics.
  • Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
  • Support data governance, quality assurance, and metadata management practices across the organization.
  • Contribute to the design and documentation of enterprise data models and pipelines.
  • Develop and maintain analytical reports, dashboards and semantic models using Power BI
  • Monitor pipeline performance and implement improvements for reliability, scalability, and efficiency.
  • Stay current with industry trends and best practices in cloud data engineering and analytics.
Qualifications

Education:

  • Undergraduate degree in Computer Science, Engineering, Mathematics, or related STEM field; a Master's degree is an asset.

Experience:

  • Snowflake certification (e.g., SnowPro Core or Advanced Architect) strongly preferred.
  • At least 3-5 years of experience using a modern data stack with hands-on use of:
    • Snowflake (warehousing, streams, tasks, UDFs)
    • Azure Data Factory, Azure Data Lake, Azure Functions
    • SQL (advanced query development and debugging)
    • Python (data processing and automation)

Skills & Abilities:

  • Functional experience with data visualization tools (e.g., Power BI) is required.
  • DevOps practices is a strong asset.
  • Strong analytical, communication, and problem-solving skills.
  • Demonstrated ability to work independently and collaboratively in a fast-paced environment.

Effort

  • Requires sustained mental focus for data analysis, debugging, pipeline optimization, and report development
  • Involves frequent use of computer systems and cloud-based tools for extended periods
  • Requires multitasking and prioritizing requests from multiple stakeholders in a dynamic environment
  • Attention to detail is critical when handling complex data queries, coding scripts, and quality checks

Working Conditions

  • Work is primarily performed in a corporate office setting with the flexibility of a hybrid work model
  • May involve occasional extended hours during system deployments, data migrations, or project deadlines
  • Requires regular virtual collaboration with cross-functional teams and business stakeholders
  • Must be comfortable working in a fast-paced, agile, and evolving technical environment                            

At Chartwell, we're all about Making People's Lives BETTER: the lives of our residents and their families, and the lives of our employees. Join an exceptional group of diverse, inspiring, and caring people who are empowered to provide personalized, human experiences for our residents and staff through the connections they make every day within our communities. 

Chartwell's commitment to diversity and inclusivity is a commitment to hiring people whose skills and abilities contribute the most to the success of the organization and who reflect the communities in which we live and work. We are an equal opportunity employer and welcome applications from a wide range of qualified candidates, including people with disabilities. If you have questions or require assistance with the application process, please email accessibility@chartwell.com or call 1-888-663-6448. 

Chartwell may use artificial intelligence to assist in screening and assessing applicants for this position. 

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

Apply