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Added 3 mins ago
NT
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Apex Systems

Data Management Analyst

MB, Canada
Saint-Laurent, MB, Canada

$45 to $55 USD / hour · Contract

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Job details

Pay: $45 to $55 USD / hour
Job type: Contract
Apply by: Nov 6, 2026
Experience: 5+ years of experience in:
Posting language: English
Posted: Oct 7, 2026

Original job description

Job#: 3054644

Job Description:

Data Management Analyst

Location: Montreal, QC (Preferred) | Toronto, ON (Alternative)

Language: Bilingual (English/French) Strongly Preferred

Employment Type: Contract-to-Hire

Initial Contract Term: 6 Months

Interview Process: One final-round interview with hiring leaders and a technical stakeholder

Position Overview

An innovative business team is seeking a Data Management Analyst to support the evaluation and validation of new business opportunities through data-driven insights.
This role combines responsibilities typically associated with both a Data Analyst and Business Analyst. The successful candidate will be responsible for understanding, documenting, validating, and interpreting data across multiple business and technology domains to determine whether new initiatives have the necessary data foundation to move forward.
You will be the first person engaged when a new idea or project is introduced, helping assess data readiness, identify opportunities and limitations, uncover business rules, and provide a trusted view of the data landscape. Working alongside a Business Analyst who owns business and functional requirements, your primary focus will be understanding the data itself and ensuring stakeholders can make informed decisions based on accurate information.

About The Team

The team serves as the entry point for new ideas and initiatives across the organization. Every concept must be evaluated, challenged, and validated before investment decisions are made.
The team works across multiple business areas to:
Assess new opportunities and strategic initiatives
Validate assumptions using data
Identify risks and dependencies early
Establish feasibility and business value
Build reusable knowledge and documentation assets
Success depends on understanding complex and often undocumented data environments and transforming uncertainty into actionable insights.

Key Responsibilities

Data Discovery & Assessment

Evaluate unfamiliar datasets and rapidly establish an understanding of available data, quality, gaps, and business relevance.
Determine whether data can support proposed business initiatives and identify limitations or risks.
Assess overall data readiness and provide recommendations regarding feasibility and effort required.

Data Analysis & Validation

Profile, analyze, and validate large datasets from multiple systems and sources.
Investigate relationships between tables, reports, extracts, dashboards, and operational systems.
Reconcile data across multiple environments and explain discrepancies.
Validate findings through collaboration with business and technical stakeholders.

Data Reconciliation & Lineage

Trace data lineage across user interfaces, reports, extracts, spreadsheets, legacy platforms, and backend systems.
Identify undocumented transformations, calculations, filters, and business rules.
Establish trusted definitions and data sources for business-critical information.

Documentation & Knowledge Management

Develop and maintain:

Data dictionaries
Data lineage documentation
Business definitions
Data mappings
Business rules
Process documentation

Create a reusable knowledge repository that supports future initiatives and reduces reliance on tribal knowledge.

Stakeholder Collaboration

Partner closely with both technical and business teams to understand source systems, business processes, and reporting requirements.
Serve as a key resource for data-related questions across ongoing initiatives.
Translate complex technical findings into clear business insights and recommendations.

Innovation & Project Support

Support the evaluation of new ideas and initiatives by providing objective, data-driven assessments.
Distinguish between opportunities suitable for rapid prototyping and those requiring significant data integration or engineering effort.
Help prioritize initiatives based on data availability, reliability, and business value.

Required Qualifications

5+ years of experience in:

Data Analysis
Data Management
Business Data Analysis
Data Governance or related roles

Strong SQL skills with hands-on experience analyzing complex datasets.
Experience working with both business and technical stakeholders.
Experience supporting environments that include legacy applications, proprietary systems, and fragmented data ecosystems.
Strong investigative and analytical problem-solving abilities.
Experience profiling data and assessing data quality, completeness, and integrity.
Proven ability to infer relationships between datasets and validate findings independently.
Excellent documentation skills related to data definitions, lineage, mappings, and business rules.
Strong communication and stakeholder management skills.
Ability to thrive in ambiguous environments and learn new business domains quickly.

Preferred Qualifications

Experience in healthcare, pharmaceutical, distribution, manufacturing, or supply chain environments.
Experience with data governance and catalog platforms such as Alation or similar tools.
Familiarity with data lineage and metadata management practices.
Experience with Power BI, Tableau, or other business intelligence tools.
Exposure to data warehouses, data lakes, and enterprise reporting environments.
Previous experience supporting innovation, discovery, strategy, or research-focused teams.

Technical Environment

Candidates may have experience working with:
SQL
Legacy enterprise platforms (including AS400 environments)
Enterprise reporting and analytics platforms
Data warehouses and data lakes
Power BI
Tableau
Excel-based reporting solutions
Data catalog and governance tools
Operational and transactional business systems

Why This Role Matters

This position plays a critical role in determining whether new ideas can be supported by reliable, actionable data. The successful candidate will help guide investment decisions, reduce project risk, uncover business insights, and establish reusable knowledge that strengthens future initiatives.
This is an ideal opportunity for someone who enjoys exploring unfamiliar data environments, solving complex business problems, and providing the clarity needed to move ideas from concept to execution.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Everforth Apex Benefits Overview: In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.

© 2026 Everforth, Inc. All rights reserved.

Everforth Apex Systems is part of the Commercial Segment of Everforth, Inc.

NYSE: EFOR

4400 Cox Road

Suite 200

Glen Allen, Virginia 23060

Everforth Apex is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex.

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More about this job

Responsibilities

Assess unfamiliar datasets for quality, completeness, lineage, business relevance, and readiness to support proposed initiatives. Reconcile and validate data across systems, document definitions and business rules, and communicate findings and feasibility recommendations to business and technical stakeholders.

Requirements

Requires at least five years of experience in data analysis, data management, business data analysis, data governance, or a related field, along with strong SQL and data-profiling skills. Candidates should be able to investigate complex and fragmented data environments, validate findings, document data assets, and communicate effectively with business and technical stakeholders.

Skills

SQL
Data Analysis
Data Management
Data Profiling
Data Quality Assessment
Data Reconciliation
Data Lineage
Data Governance
Data Documentation
Business Analysis
Stakeholder Management
Power BI
Tableau
Excel
Metadata Management
Data Warehousing

Benefits

On-Demand Training
Certification Preparation
Technical and Leadership Courses
Certification Discounts

Visa sponsorship

Not detected in the job text

Keywords

SQL
Data Analysis
Data Management
Data Governance
Data Profiling
Data Quality
Data Integrity
Data Reconciliation
Data Lineage
Metadata Management
Data Dictionaries
Data Mapping
Business Rules
Business Intelligence
Power BI
Tableau
Excel
Data Warehouses
Data Lakes
AS400
Legacy Systems
Enterprise Reporting
Operational Systems
Transactional Systems
Alation
Stakeholder Collaboration
Feasibility Assessment
Healthcare
Pharmaceutical
Supply Chain

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