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Remote Political Science Data Analytics Jobs in Toronto, ON

Sr. Data Specialist

Mississauga, ON ยท On-site +1

CA$99K - CA$132K/yr

This person will work cross-functionally with other technology teams, data scientists/analysts, BI Developers, data architects, dataengineers,and delivery leaders to design and develop data solutions ...

Sr. Data Specialist

Mississauga, ON ยท On-site +1

CA$99K - CA$132K/yr

This person will work cross-functionally with other technology teams, data scientists/analysts, BI Developers, data architects, dataengineers,and delivery leaders to design and develop data solutions ...

We are open to remote candidates based in Canada. Responsibilities * Own analytics projects from ... Partner with Data Scientists toidentifyareas of improvement forData Science models * Work with Data ...

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

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Remote Political Science Data Analytics information

What is the difference between Remote Political Science Data Analytics vs Political Data Analyst?

AspectRemote Political Science Data AnalyticsPolitical Data Analyst
Required CredentialsBachelor's or higher in Political Science, Data Analytics, or related fieldsBachelor's or higher in Political Science, Data Analytics, or related fields
Work EnvironmentRemote, often freelance or contract-basedTypically office-based or remote, depending on employer
Employer & Industry UsageGovernment agencies, research firms, NGOs, think tanksGovernment agencies, political campaigns, research organizations
Common Search & ComparisonYesYes

Remote Political Science Data Analytics involves analyzing political data remotely, often with a focus on research or policy. Political Data Analysts typically work on political campaigns or government projects, sometimes onsite. Both roles require similar credentials and are used across government and research sectors, but Remote Political Science Data Analytics emphasizes remote work flexibility.

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:
What are popular job titles related to Remote Political Science Data Analytics jobs in Toronto, ON? For Remote Political Science Data Analytics jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Political Science Data Analytics jobs in Toronto, ON look for? The top searched job categories for Remote Political Science Data Analytics jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Remote Political Science Data Analytics jobs? Cities near Toronto, ON with the most Remote Political Science Data Analytics job openings:

Data Analyst (Financial Planning and Analysis) - Canada

Tiger Analytics Inc.

Toronto, ON โ€ข Remote

Full-time

Re-posted 13 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.

Requirements

  • 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.

Benefits

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.