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7,978

Data Analysis jobs in Mexico

Specialist, Survey Statistics and Information Systems

CMHC

Ottawa
Hybrid
CAD 84,000 - 106,000
Yesterday
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Data Analytics & Process Improvement Associate

RBC

Toronto
On-site
CAD 80,000 - 100,000
Yesterday
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Banking BA - Regulatory Reporting & Data Analysis

Infosys

Calgary
On-site
CAD 70,000 - 90,000
Yesterday
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R&D Business Analyst

Feesa Ltd

Calgary
On-site
CAD 70,000 - 90,000
Today
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BUSINESS INTELLIGENCE CONSULTANT

City of Toronto

Toronto
On-site
CAD 94,000 - 129,000
Yesterday
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Business Analyst - DMC (Capital Markets)

Exadel Inc

Canada
Hybrid
CAD 80,000 - 100,000
Yesterday
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Junior Operations Specialist - Data & DSP Management

SwiftX Inc.

Canada
On-site
CAD 60,000 - 80,000
Yesterday
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Principal Product Manager

Kabam

Montreal (administrative region)
On-site
CAD 100,000 - 130,000
Today
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Analyst Costing Analysis Job Details | CPKC

Canadian Pacific Railway

Calgary
On-site
CAD 60,000 - 80,000
Yesterday
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Senior Business Systems Analyst

RBC

Toronto
On-site
CAD 80,000 - 100,000
Yesterday
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Business Analyst

Brock University

Lincoln
Hybrid
CAD 61,000 - 99,000
Yesterday
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Senior Financial Accountant, FP&A,

Pacific Life Re

Toronto
On-site
CAD 90,000 - 107,000
Yesterday
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Advisor, HEI Scholar In Residence

CMHC

Ottawa
Hybrid
CAD 123,000 - 155,000
2 days ago
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Lead Business Systems Analyst

RBC

Toronto
On-site
CAD 60,000 - 80,000
Yesterday
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Manager, Financial Planning & Analysis

Nutrition International

Ottawa
Hybrid
CAD 90,000 - 95,000
Today
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Senior Associate Consultant

Infosys

Calgary
On-site
CAD 70,000 - 90,000
Yesterday
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Compliance Test lead (CSV/CSA Validation)

Cognizant

Toronto
Hybrid
CAD 100,000 - 110,000
2 days ago
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Consultant, Data Visualization and Insights

Canadian Imperial Bank of Commerce

Toronto
Hybrid
CAD 70,000 - 90,000
Yesterday
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Bioinformatics Analyst

Canadian Bioinformatics Workshops

Montreal (administrative region)
On-site
CAD 64,000 - 98,000
Today
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Business System Analyst - Payments & Commercial banking

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Toronto
On-site
CAD 85,000 - 115,000
2 days ago
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EPIDEMIOLOGIST

City of Toronto

Toronto
On-site
CAD 80,000 - 100,000
Today
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Sr. Revenue Assurance Analyst

Rogers Communications, Inc.

Toronto
On-site
CAD 70,000 - 90,000
Yesterday
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Analyst / Senior Analyst, Criteria Review and Approval Group (CRAG) - Toronto

Fitch Group

Toronto
Hybrid
CAD 80,000 - 120,000
Yesterday
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VP, Strategy

Kensington

Toronto
On-site
CAD 120,000 - 160,000
2 days ago
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Sr. Revenue Assurance Analyst

Rogers Communications

Toronto
On-site
CAD 60,000 - 80,000
Yesterday
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Top job titles:

Lunes A Viernes jobsAsistente Personal jobsVisual Merchandising jobsMantenimiento jobsDesarrollador De Software jobsActuario jobsOperativo jobsGerente De Mantenimiento jobsIngeniero Automotriz jobsProduccion Audiovisual jobs

Top companies:

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Top cities:

Jobs in Ciudad De MexicoJobs in GuadalajaraJobs in QueretaroJobs in PueblaJobs in ChihuahuaJobs in Ciudad Benito JuarezJobs in MeridaJobs in AguascalientesJobs in ReynosaJobs in Saltillo
Specialist Survey Statistics and Information Systems
CMHC
Ottawa
Hybrid
CAD 84,000 - 106,000
Full time
Yesterday
Be an early applicant

Job summary

A federal housing organization is seeking a Statistical Specialist to develop and enhance frameworks for Housing Market Surveys. Responsibilities include designing statistical models, conducting research, and providing programming solutions. Candidates should have an undergraduate degree in statistics and a minimum of three years of experience in statistical projects. Strong proficiency in SAS, R, or Python is preferred, along with excellent problem-solving and communication skills. This is a hybrid, full-time role based in Ottawa.

Benefits

Accrued vacation
Annual performance bonus
Professional growth support
Inclusive workplace culture

Qualifications

  • Minimum of three years of work experience in statistical projects.
  • Expert understanding of survey methods and their applications.
  • Proven abilities in decision making and analytical techniques.

Responsibilities

  • Design, implement and monitor methodological frameworks for surveys.
  • Conduct primary research and provide specialized methodology.
  • Produce programming solutions for end-user systems.

Skills

Survey methodology
Statistical analysis
Programming (SAS, R, Python)
Problem solving
Communication

Education

Undergraduate degree in statistics, mathematics or computer science

Tools

SAS
R
Python
Job description
Overview

Job Requisition ID: 11798 | Position Status: Temporary Full Time | Position Type: Hybrid | Office Location: Ottawa (ON); Calgary (AB); Halifax (NS); Montreal (QC); Toronto (ON); Vancouver (BC) | Travel Requirement: Travel not required | Language Designation: English/French Optional | Language Skill Levels (Read/Write/Speak): ZZZ | Security Requirement: Reliability Status | Salary: Our salaries generally range from $84699.11 to $105873.89 and are based on qualifications and experience.

About CMHC

The work you do and the work we do together matters. We come to work every day with a common purpose: to contribute to a well-functioning housing system.

At CMHC, we hold ourselves accountable for our results and support our colleagues in their achievements. We thrive on collaboration, connecting across CMHC and involving the right people to get our work done. Our leadership style is guided by trust, where our leaders favour an adaptive approach based on the needs of their teams.

Join us and be part of a team that’s committed to making a real difference and be part of something meaningful.

What’s in it for you

We’ve got the purpose, the people and the perks you need for a fulfilling career. Here’s the comprehensive and generous benefits you get when you’re a contract employee:

  • Accrued vacation.
  • Annual individual performance bonus.
  • Support towards your personal and professional growth with training, mentorship and more.
  • An inclusive workplace culture and environment.
About the role

Join the Survey Data Processing team, in the Specialist, Survey Statistics and Information Systems position. As part of this role, you will be responsible for developing, designing, and enhancing the methodological framework for the Housing Market Surveys and related computer systems to support the business needs of all regions and sectors of CMHC. You will also provide guidance and advice on statistical and survey methodology for the design and implementation of surveys conducted for or by CMHC.

This is a temporary position of a duration of 12 months.

What you’ll do
  • Design, implement and monitor the comprehensive methodological framework of the Housing Market Surveys including data reliability measures, estimation systems and statistical models. Use sophisticated statistical analysis techniques to ensure high levels of data quality and reliability, maintain system integrity, enhance the usefulness of the Housing Market Surveys, and recommend and develop improvements.
  • Develop and apply statistical analysis techniques to maximize corporate benefits from information collected through surveys, administrative data, and other information sources.
  • Conduct primary research in the provision of specialized methodology and statistical analysis research, keeping abreast of developments in the fields of surveys and statistics, in particular as they relate to the conduct and analysis of housing-related surveys and information-gathering projects.
  • Produce programming solutions by developing end-user systems using the latest products and software. Keep up to date with new technologies.
  • Serve as a key technical resource for complex problems by providing systems analysis, programming advice and problem solving.
What you should have
  • An undergraduate degree in statistics, mathematics or computer science or a related field.
  • A minimum of three years of work experience in the design, development, and management of statistical projects.
  • Thorough expert understanding of survey methods, their application, and the use of computer technology in survey processing and analyses, along with the practical knowledge of how best to employ them in a large and decentralized operation.
  • Demonstrated experience and thorough expert understanding of statistical techniques, particularly in the areas of survey methodologies, statistical analysis, statistical modelling and estimation systems
  • Demonstrated experience of SAS, R or Python.
  • Proven abilities in problem solving, decision making, use of analytical techniques and ability to undertake and complete multiple concurrent tasks.
  • Demonstrated ability to communicate and explain findings in simple terms to internal/external clients.
Posting closing date

Note, the competition will remain active until filled.

Our commitment to diversity, equity, and inclusion

We’re committed to employment equity and encourage women, Indigenous Peoples, persons with disabilities, veterans and persons of all races, ethnicities, religions, abilities, sexual orientations, and gender identities and expressions to apply. We also welcome applications from non-Canadians who are eligible to work in Canada.

CMHC is an inclusive workplace where diversity of thought – and of people – are recognized, valued, and considered essential to achieving our mission.

Learn more about our commitment to diversity and inclusion

What happens after you apply

We know that applying for a new job can be both exciting and daunting, and we appreciate your effort. Learn more about our hiring process. If you are selected for an interview or testing, please advise us if you require an accommodation.

If you applied before and you were not successful don’t worry – we’re always posting new positions, so don’t hesitate to give it another shot. We’re excited to see what you bring to the table this time around!

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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