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Manager Political Science Data Analytics Jobs in Toronto, ON

Senior Data Analytics Consultant

Toronto, ON · On-site

CA$90K - CA$105K/yr

This position will work closely with the Catastrophe and Exposure Management team based in the US ... Data Science or related certifications preferred Our Total Rewards philosophy reflects our ...

You will work closely with business stakeholders, analysts, data scientists, and cross-functional ... A strong focus on data security and privacy is essential, ensuring sensitive information is managed ...

Data Science and Analytics Experts Type: Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling ...

The Manager of Marketing Analytics role will leverage data and analytics to drive the transformation of one of the largest QSR brands in the world. Reporting into the Canadian Analytics team, our ...

Showing results 21-40

Manager Political Science Data Analytics information

What does a manager political science data analytics do?

A Manager of Political Science Data Analytics leads teams that gather, analyze, and interpret data related to political science topics, such as voter behavior, election results, public opinion, and policy outcomes. They design research methodologies, oversee data collection and cleaning, and use statistical tools to find insights that inform political strategy or academic research. Additionally, they are responsible for communicating findings to stakeholders, ensuring the accuracy of the analysis, and staying updated with the latest trends in data analytics and political science.

How does a manager political science data analytics typically collaborate with cross-functional teams to support research initiatives?

A Manager Political Science Data Analytics often works closely with researchers, policy analysts, and IT professionals to design and implement data-driven research projects. They act as a bridge between technical data teams and subject matter experts, ensuring that data collection, analysis, and interpretation align with the goals of the research. Regular meetings, clear communication of analytical findings, and collaborative problem-solving are key aspects of the role. This collaborative environment helps translate complex data insights into actionable recommendations for policy development or academic research.

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

To thrive as a Manager in Political Science Data Analytics, you need a strong background in political science, statistical analysis, and data interpretation, typically supported by an advanced degree in political science, statistics, or a related field. Expertise with data analytics tools like R, Python, SQL, and visualization platforms such as Tableau or Power BI, along with knowledge of data management systems, is essential. Strong leadership, critical thinking, and effective communication skills help you manage teams and clearly present complex insights to stakeholders. These competencies are vital for transforming data into actionable policy insights and guiding strategic decision-making within political or public sector organizations.

What are the most commonly searched types of Political Science Data Analytics jobs in Toronto, ON?

The most popular types of Political Science Data Analytics jobs in Toronto, ON are:

Senior Data Analytics Consultant

Cna

Toronto, ON • On-site

CA$90K - CA$105K/yr

Full-time

Re-posted 29 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.