Back to results

Analyst, Data valorization

  • Ottawa, ON, Canada
  • Mississauga, ON, Canada
  • Aurora, ON, Canada
  • Montreal, QC, Canada
  • Levis, QC, Canada

Full-time

Applications open in a new tab.

Job details

Job type
Full-time
Apply by
Posting language
English
Posted

Original job description

The mission of the Data Evolution and Analytics department is to support and advise business sectors on data access and use, and to make data available in secure environments according to business sector specifications. As a data valorization analyst, you collect and valorize data that comes through different channels. You extract, describe, analyze and interpret the data needed to make informed business decisions. More specifically, you will be required to:

  • Occasionally take part in the development of ETL solutions with SAS to load data in the warehouse 
  • Help identify and analyze the sector’s management information needs (data, reports, management indicators, performance measures, publications, etc.)
  • Develop new indicators, modify existing indicators and respond to ad hoc requests
  • Help implement data and analytics (DA) solutions in partnership with the business sectors, keeping in mind cross-sector standardization - particularly with respect to test strategies, tests, documentation and integration of reference documents
  • Define, validate and update procedures and mechanisms for controlling the quality of management information
  • Help produce training and support materials and document processes
  • Ensure the quality of publications in accordance with the management information governance policy
  • Help system, tool and database users in choosing and interpreting requests and publications

What we offer*

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid, #ON09-


What you bring to the table

  • Bachelor's degree in a related field
  • A minimum of four years of relevant experience in a field related to data and analytics
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Knowledge of French is required
  • Intermediate advanced proficiency of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
  • Proficiency with database structures
  • Proficiency with SAS or SQL
  • Proficiency in resolving data extraction and data valorization issues
  • Proficiency in writing documentation
Action oriented, Business insight, Complexity, Customer Focus, Differences, Nimble learning


Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Trade Union (If applicable)

Job Family

Data (FG)

Unposting Date

2026-10-28
More about this job

Responsibilities

The analyst will collect, interpret, and valorize data to support business decision-making and develop ETL solutions. They will also identify management information needs, create performance indicators, and ensure data quality through standardized procedures.

Requirements

Candidates must hold a bachelor's degree in a related field and possess at least four years of relevant experience in data and analytics. Proficiency in SAS or SQL, database structures, and strong documentation skills are required, along with intermediate English proficiency.

Skills

  • Data analysis
  • Data valorization
  • SAS
  • SQL
  • ETL
  • Database structures
  • Data extraction
  • Management information
  • Documentation
  • Reporting
  • Performance measures
  • Quality control
  • Business insight
  • Customer focus
  • Nimble learning

Benefits

  • Competitive salary
  • Annual bonus
  • 4 weeks of flexible vacation
  • Defined benefit pension plan
  • Group insurance
  • Telemedicine
  • Reimbursement of health and wellness expenses
  • Telework equipment

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Finance & Accounting
  • Consulting

Keywords

  • Data valorization
  • Data analytics
  • ETL
  • SAS
  • SQL
  • Data warehouse
  • Management information
  • Performance indicators
  • Data governance
  • Database structures
  • Data extraction
  • Documentation
  • Hybrid work
  • Business intelligence
  • Reporting

Report this job