Analyst, Data valorization

Desjardins Group; Lévis; Hybride; CAD 70 000 - 95 000; Plein temps

Avantages offerts par ce poste

Annual bonus

4 weeks vacation

Defined benefit pension

Group insurance including telemedicine

Wellness reimbursement

Telework equipment

Hybrid work arrangement

Résumé du poste

Desjardins Group is seeking a Data Valorization Analyst to collect, describe, analyze and interpret data to support business decisions. You will develop ETL with SAS, identify information needs, create indicators, and ensure data quality and governance across the organization.

This hybrid role offers a pension plan, health benefits, and telework support. The position requires a bachelor’s degree and at least four years of data analytics experience, with proficiency in SAS/SQL and strong

Qualifications

• Bachelor's degree in a related field.
• Minimum of four years of relevant experience in data and analytics.
• Proficiency with SAS or SQL.
• Proficiency with database structures.
• Proficiency in writing documentation.
• French is required; English proficiency recommended due to cross-border duties.

Responsabilités

• 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

Connaissances

Proficiency with database structures

English communication

Knowledge of French

SAS or SQL experience

Documentation writing

Formation

Bachelor's degree in a related field

Outils

SAS

SQL

Description du poste

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.

• 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

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

Desjardins Group is the largest cooperative financial group in North America.

We're the choice for over 52,000 employees and we're named one of Canada's top employers by Mediacorp and Forbes.

We offer a full range of financial products and services and share our expertise in personal services, business services, wealth management, life and health insurance, and property and casualty insurance.

Pursuing a career at Desjardins means being part of an organization that puts people first.

The jobs you found aren’t the right fit? Introduce yourself: we want to know you!