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Manager Political Science Data Analytics Jobs in Toronto, ON

Scotiabank

Manager Data & Analytics

Toronto, ON

The Manager, Data and Analytics, Retail Credit Risk, GRM will be responsible for monitoring and reporting on retail lending portfolios. The role also provides actionable insights to Risk Management ...

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 ...

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 ...

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All JobsPolitical Science Data Analytics JobsManager Political Science Data Analytics JobsManager Political Science Data Analytics Jobs in Toronto, ON

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:

Manager Political Science Data Analytics jobs near you

Data Analyst (Financial Planning and Analysis) - Canada

Tiger Analytics, LLC

Toronto, ON • On-site

$75 - $95/hr

Other

Re-posted 4 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets

Job Duties
  • Partner with business stakeholders to gather, analyze, and document data requirements.
  • Perform data profiling, data mapping, and data quality assessments across multiple source systems.
  • Develop complex SQL queries and data models to support reporting, reconciliation, and analytical initiatives.
  • Work with Snowflake and Databricks to design, transform, and manage large-scale datasets.
  • Build and maintain Python-based data processing and validation workflows.
  • Analyze financial reconciliation data, including transactions, general ledger, accounts payable, procurement, and related financial datasets.
  • Identify data discrepancies and support reconciliation processes through root cause analysis.
  • Collaborate with business, data engineering, and technology teams to ensure data accuracy and consistency.
  • Support data governance, metadata management, and documentation activities.
Qualifications
  • 6+ years of experience in Data Analytics, Business Intelligence, or Data Engineering roles.
  • Strong hands‑on experience with SQL, Snowflake, Databricks, and Python.
  • Experience in data mapping, data profiling, data validation, and data quality management.
  • Mandatory experience working with financial reconciliation data.
  • Strong understanding of transaction‑level data, general ledger (GL), procurement, accounts payable/receivable, and financial reporting processes.
  • Experience supporting finance, accounting, or enterprise reconciliation initiatives is highly preferred.
  • Experience working in cloud‑based data environments.
  • Exposure to data governance and master data management practices.
  • Familiarity with financial controls, audit, or reconciliation frameworks.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast‑growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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