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Assistant Data Analytics Jobs in Ontario (NOW HIRING)

Konrad

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

... * Assist in documenting metrics, definitions, and analytics processes * Collaborate with data engineers and other analysts to support data modeling and reporting layers Communicate insights clearly ...

MEDA

Data Analyst

Waterloo, ON · Hybrid

CA$58K - CA$72K/yr

Bachelor's degree in data analytics, business, or related field. Experience: 7+ years' relevant ... MEDA is not in a position to sponsor or assist candidates in obtaining work permits. Employees are ...

McKesson

Sr. Data Specialist

Mississauga, ON · On-site +1

CA$99K - CA$132K/yr

This person will work cross-functionally with other technology teams, data scientists/analysts, BI ... Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related ...

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Assistant Data Analytics information

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

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

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What are the most commonly searched types of Data Analytics jobs in Ontario?

The most popular types of Data Analytics jobs in Ontario are:

What are popular job titles related to Assistant Data Analytics jobs in Ontario?

For Assistant Data Analytics jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Assistant Data Analytics jobs in Ontario look for?

The top searched job categories for Assistant Data Analytics jobs in Ontario are:

What cities in Ontario are hiring for Assistant Data Analytics jobs?

Cities in Ontario with the most Assistant Data Analytics job openings:

Assistant Data Analytics jobs near you

Specialist Data & Analytics

Mississauga, ON • Hybrid

Chartwell Retirement Residences
10K+ employees
Learn more about Chartwell Retirement Residencesexternal

Full-time

Re-posted 9 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