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Statistics Validator Jobs in Quebec (NOW HIRING)

CA$167K - CA$190K/yr

... orchestration validation Statistical analysis of complex experimental systems Cross-functional technical leadership Advanced level in English, to communicate with international team members ...

CA$167K - CA$190K/yr

Available position Quantum System Validation Team Lead (permanent position, 40 hour per week ... Statistical analysis of complex experimental systems * Cross-functional technical leadership

CA$167K - CA$190K/yr

Available position Quantum System Validation Team Lead (permanent position, 40 hour per week ... Statistical analysis of complex experimental systems * Cross-functional technical leadership

CA$105K - CA$122K/yr

Data analysis and statistical interpretation * System-level validation and performance characterization * Reliability engineering or long-duration stability testing, an asset * Python programming and ...

CA$105K - CA$122K/yr

Data analysis and statistical interpretation * System-level validation and performance characterization * Reliability engineering or long-duration stability testing, an asset * Python programming and ...

CA$105K - CA$122K/yr

... statistical interpretation System-level validation and performance characterization Reliability engineering or long-duration stability testing, an asset Python programming and version control best ...

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Statistics Validator information

What are Statistics Validators?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a Statistics Validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, programming, and leadership, along with relevant certifications and experience.

What are the key skills and qualifications needed to thrive as a Statistics Validator, and why are they important?

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average in many regions. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher pay.

What does a statistics validator do?

A statistics validator reviews and verifies statistical data, methods, and results to ensure accuracy, consistency, and compliance with standards. They often use statistical software and have strong analytical skills to identify errors or discrepancies in datasets and reports.

What qualifications do I need for statistics?

A statistics validator typically needs a bachelor's degree in statistics, mathematics, data science, or a related field. Strong analytical skills, proficiency with statistical software like R or SAS, and attention to detail are essential for verifying data accuracy and integrity.
What are popular job titles related to Statistics Validator jobs in Quebec? For Statistics Validator jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in Quebec look for? The top searched job categories for Statistics Validator jobs in Quebec are:

Full-time

Medical, Retirement

Posted 8 days ago


Job description

Job Description – Data Quality Analyst, Airports as Businesses

Position: Data Quality Analyst

Schedule: Full-time (5 days per week)

Work Arrangement: Hybrid (minimum 10 days per month in office)

Reporting to: Manager Airport Economics, Airport as Business

Type: Permanent

Role Overview:

The Data Quality Analyst is responsible for ensuring the accuracy, completeness, consistency, and integrity of ACI World's airport economic data. This role supports the end-to-end management of the ACI Airport Economics Survey by coordinating data collection, validation, quality assurance, and maintenance of large international datasets.

Working closely with airport members, internal stakeholders, and technology teams, the Data Quality Analyst identifies and resolves data quality issues, performs statistical validation, recommends process improvements, and contributes to the development of reliable datasets, analyses, and publications that support ACI World's research, advocacy, and industry benchmarking initiatives.

Key Responsibilities:

Data Collection and Quality Assurance

  • Coordinate the collection, processing, validation, and maintenance of data submitted through the ACI World Airport Economics Survey.
  • Perform comprehensive data quality checks to ensure data accuracy, consistency, completeness, and reliability.
  • Investigate, analyze, and resolve data discrepancies through statistical validation, trend analysis, and cross-referencing multiple data sources.
  • Monitor data quality metrics and recommend improvements to data collection methodologies and validation processes.
  • Support the estimation and treatment of missing, incomplete, or inconsistent data using appropriate statistical and analytical techniques.
  • Maintain and continuously improve historical datasets to ensure consistency and comparability of time-series data.

Stakeholder Support

  • Serve as the primary point of contact for airport data providers regarding survey submissions, validation queries, reporting requirements, and data corrections.
  • Maintain survey schedules and monitor submission progress to ensure timely completion of reporting cycles.
  • Provide guidance to respondents on data definitions, reporting standards, and survey methodologies.
  • Maintain and update contact databases, reporting templates, documentation, checklists, and standard operating procedures.

Data Analysis and Reporting

  • Contribute to the preparation of statistical reports, industry publications, presentations, dashboards, and analytical summaries.
  • Produce data analyses and key performance indicators (KPIs) to support ACI World's research, advocacy, and member services.
  • Assist in responding to internal and external requests for economic data and analysis.

Process Improvement and Technology

  • Collaborate with Information Technology teams on enhancements to data collection platforms, automation initiatives, and data management tools.
  • Participate in user acceptance testing (UAT) for new systems, reports, dashboards, and data platforms.
  • Identify opportunities to improve data quality processes, operational efficiency, and reporting capabilities.
  • Support additional data management and analytical projects as assigned.

Experience and Education

  • Bachelor's degree in a quantitative discipline such as Statistics, Economics, Mathematics, Finance, Accounting, Business Analytics, or a related field.
  • Two to five years of experience in data collection, data processing, data quality management, statistical analysis, database administration, or business analytics, or an equivalent combination of education and experience.
  • Experience working with large datasets and data quality frameworks is highly desirable.
  • Experience in the aviation industry is considered an asset.

Skills and Assets:

  • Strong analytical, quantitative, and critical thinking skills.
  • Excellent attention to detail and commitment to data accuracy.
  • Strong problem-solving and investigative abilities.
  • Excellent organizational and time management skills, with the ability to manage multiple priorities and meet deadlines.
  • Proficiency in Microsoft Excel is required.
  • Experience with SQL, Power BI, Tableau, or other business intelligence and data visualization tools is considered an asset.
  • Familiarity with statistical methods and data validation techniques.
  • Excellent written and verbal communication skills in English.
  • Knowledge of additional languages, including French, Spanish, Portuguese, or Chinese, is considered an asset.
  • Ability to work collaboratively with international stakeholders in a multicultural environment.

What We Offer

  • A challenging and exciting position in an international and multicultural environment.
  • Hybrid work environment
  • 4 weeks of vacation/year.
  • 5 sick days/ year.
  • 5 mental wellness days/year.
  • Employee cell phone (iPhone) with TELUS Health virtual care included.
  • Health insurance coverage from your first day of employment.
  • RRSP company matching contributions
  • Opus/EXO Transit discount on monthly pass.
  • Employee recognition points earned to convert into redeemable gift cards
  • Very flexible employee monthly wellness account to use to achieve a greater work life balance