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Assistant Data Analytics Jobs in Ontario (NOW HIRING)

At CNA, we strive to create a culture in which people know they matter and are part of something ... Other ad hoc data analysis as required. May perform additional duties as assigned. Reporting ...

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 ...

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 ...

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 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 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 does an assistant data analyst do?

An assistant data analyst supports data collection, cleaning, and analysis to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist senior analysts with report preparation and data management tasks.

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 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:

Senior Data Analytics Consultant

Cna

Toronto, ON

CA$90K - CA$105K/yr

Full-time

Re-posted 19 days ago


Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there.At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

As part of the Canadian Actuarial team, this role is responsible for delivering catastrophe (CAT) exposure analytics and pricing support for the Canadian portfolio, providing insights through portfolio analysis as well as regulatory and reinsurance reporting. The position works closely with the US Catastrophe Modeling team, bridging teams across geographies to ensure consistent methodology, shared expertise, and informed risk evaluation.
The role partners closely with underwriting, actuarial, and enterprise risk management teams, while contributing to data governance and ongoing analytics and data modernization initiatives. This position will work closely with the Catastrophe and Exposure Management team based in the US.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

  • Lead CAT exposure monitoring and portfolio analytics, including monthly Probable Maximum Loss (PML) and Average Annual Loss (AAL) analysis, portfolio aggregation, and key account-level insights.

  • Analyze changes in CAT metrics and develop scenario-based insights to support underwriting and business decisions. Explain the impact of various catastrophe modeling metrics, attributes, and assumptions to various stakeholders

  • Perform detailed exposure analysis at account and location levels, including loss attribution and sensitivity testing, with delivery of executive-level reporting.

  • Own development and enhancement of CAT pricing tools, ensuring alignment with underwriting workflows, and provide pricing guidance and model interpretation support to underwriters.

  • Lead real-time CAT event response analytics. This includes exposure tracking, impact assessment, communication of insights during active events, and supporting preparedness planning.

  • Support regulatory and actuarial reporting, including CAT-related inputs for regulatory reporting.

  • Provide analytics to help Business Unit leadership understand their portfolio's exposure and how it can further improve profitability.

  • Provide analytical support for reinsurance and capital modeling, including exposure preparation, treaty analysis, and scenario-based capital insights.

  • Act as a data steward for exposure and portfolio data, including validation, quality control, and establishment of data governance and standards.

  • Deliver regular reporting and insights to senior leadership and act as a liaison across actuarial, underwriting, enterprise risk management and operations teams.

  • Contribute to actuarial data modernization and tooling initiatives, including development of rating engine requirements, data architecture, and integration of analytics tools.

  • Other ad hoc data analysis as required.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

  • Strong knowledge of core functions of an insurance company and general insurance. Commercial insurance knowledge is a plus.

  • Strong proficiency with SQL. Experience programming in a language such as VBA, R, or Python is desired.

  • Advanced technical knowledge of financial and statistical practices, procedures and principles, which may include a specialty area. Knowledge of the Verisk or Moody's RMS CAT model is a plus.

  • Ability to analyze data and provide valuable insights.

  • Strong interpersonal, communication and presentation skills.

  • Ability to effectively interact with all levels of CNA's internal and external business partners.

  • Strong knowledge of Microsoft Office Suite and other enterprise business tools, including responsible use of AIenabled technologies (such as Copilot or similar) to enhance efficiency, analysis and workflow in accordance with company policies.

  • Proven problem-solving capabilities. Self-starter with demonstrated ability to generate new ideas and work well with a team.

  • Solid project management, organization and planning skills with the ability to manage multiple projects effectively.

Education & Experience

  • Bachelor's Degree in a relevant discipline such as Actuarial Sciences, Statistics, Mathematics, Computer Science, Engineering, or equivalent
  • Typically a minimum of seven years of related experience.
  • Data Science or related certifications preferred

Our Total Rewards philosophy reflects our commitment to building a high-performing, inclusive culture where every team member is empowered to grow, contribute, and thrive. We value the unique strengths and perspectives each individual brings to our business, our clients, and our communities. The base salary range for this position is $90,000 to $105,000, complemented by a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional, and social wellbeing goals. Base salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. Please note that this posting is for an existing vacancy.

At CNA, we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, CNA will consult with the applicant in order to provide suitable accommodation that takes into account the applicant's accessibility needs.