Quality driven data reviews (e.g., Business address remediation) Reconciliation between systems (e.g., BPS vs. Maestro) Migration of manual and legacy controls into centralized data quality platforms ...
Quality driven data reviews (e.g., Business address remediation) Reconciliation between systems (e.g., BPS vs. Maestro) Migration of manual and legacy controls into centralized data quality platforms ...
QC Reviewer (BSD)
Laval, QC ยท On-site
Medical
Dental
Vision
Retirement
PTO
About The Role The QC reviewer is responsible to perform the quality control for data generated and work conducted in the laboratory. What You'll Do Here * Ensures that all batch related ...
QC Reviewer (BSD)
Laval, QC ยท On-site
Medical
Dental
Vision
Retirement
PTO
About The Role The QC reviewer is responsible to perform the quality control for data generated and work conducted in the laboratory. What You'll Do Here * Ensures that all batch related ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Data Architect (Big Data & Azure)
Montreal, QC ยท On-site
PTO
We are looking for a Data Architect to join our teams and work on an international data ... Participate in the scoping, design, and architecture review phases, and provide support during key ...
Data Architect (Big Data & Azure)
Montreal, QC ยท On-site
PTO
We are looking for a Data Architect to join our teams and work on an international data ... Participate in the scoping, design, and architecture review phases, and provide support during key ...
Data Architect (Big Data & Azure)
Montreal, QC ยท On-site
PTO
We are looking for a Data Architect to join our teams and work on an international data ... Participate in the scoping, design, and architecture review phases, and provide support during key ...
Data Architect (Big Data & Azure)
Montreal, QC ยท On-site
PTO
We are looking for a Data Architect to join our teams and work on an international data ... Participate in the scoping, design, and architecture review phases, and provide support during key ...
In collaboration with the Director, Data & Analytics Solutions, the incumbent defines, evolves, and ... All applications are then reviewed by our recruitment team to ensure a fair and inclusive process.
Quick apply
In collaboration with the Director, Data & Analytics Solutions, the incumbent defines, evolves, and ... All applications are then reviewed by our recruitment team to ensure a fair and inclusive process.
Data Governance Analyst
Quebec, QC ยท On-site +1
CA$126/hr
Review, clarify, and optimize the structure of data ownership roles. * Develop and promote data literacy initiatives across the organization through training and communication, in collaboration with ...
New
Data Governance Analyst
Quebec, QC ยท On-site +1
CA$126/hr
Review, clarify, and optimize the structure of data ownership roles. * Develop and promote data literacy initiatives across the organization through training and communication, in collaboration with ...
New
Data Governance Specialist
Montreal, QC ยท On-site
Retirement
Coordinate with data stewards to support definition reviews and documentation updates. * Assist stewards by preparing materials, capturing updates, and ensuring changes are accurately recorded.
Data Governance Specialist
Montreal, QC ยท On-site
Retirement
Coordinate with data stewards to support definition reviews and documentation updates. * Assist stewards by preparing materials, capturing updates, and ensuring changes are accurately recorded.
Data Reviewer information
See Quebec salary details
$15.23 is the 25th percentile. Wages below this are outliers.
$13.46 - $15.87
34% of jobs
The median wage is $17.58 / hr.
$15.87 - $18.27
22% of jobs
$18.27 - $20.67
2% of jobs
$20.67 - $23.08
4% of jobs
$23.08 - $25.48
3% of jobs
$25.48 - $27.88
0% of jobs
$27.88 - $30.29
1% of jobs
$30.29 - $32.69
5% of jobs
$33.89 is the 75th percentile. Wages above this are outliers.
$32.69 - $35.10
5% of jobs
$35.10 - $37.50
12% of jobs
$37.50 - $39.90
11% of jobs
$13
$23
$39
How much do data reviewer jobs pay per hour?
What is the difference between Data Reviewer vs Data Analyst?
| Aspect | Data Reviewer | Data Analyst |
|---|---|---|
| Required Credentials | Typically a bachelor's degree in data management, IT, or related fields; certifications like CDMP are common | Bachelor's degree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common |
| Work Environment | Mostly office-based, working with data validation tools and software | Office or remote, analyzing data sets, creating reports, and visualizations |
| Employer & Industry Usage | Used in industries like finance, healthcare, and government for data quality assurance | Used across industries for data-driven decision making and reporting |
While both roles involve working with data, Data Reviewers focus on validating and ensuring data accuracy, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.
What is a data reviewer?
A data reviewer helps an organization review and interpret data for accuracy and interpretation. Data reviewers are necessary for many fields, including software development, quality assurance, medical and health care professions, and accounting, to name a few. Your responsibilities and duties are to look through collected data that has been entered into a spreadsheet or other database. You check it for any errors and manage issues you find. Some data reviewer positions, such as in medical research, include an analytical component; you help the research team to glean insight from the collected data.
What are the key skills and qualifications needed to thrive as a data reviewer, and why are they important?
How does a data reviewer typically collaborate with other teams to ensure data quality?

Senior Business Data Officer-Client & Account Data Transformation
Montreal, QC โข On-site
Full-time
Re-posted 28 days ago
Job description
The Client Lifecycle & Digitalization Department (CLD) resides as part of the Wholesale Clients Technology & Operations division within Global Banking and Investor Solutions.
CLD's mission is to deliver a state-of-the art digital platform, targeting both users and clients in covering pre-trade, execution and post-trade activities. Additionally, our mission is to grow our internal client knowledge and deliver a user-friendly experience through the client lifecycle, while mitigating risk.
Within CLD in the Americas, the REF team (Referential and Regulatory & Tax data) oversees Referential Client Data, Regulatory & Tax Client Data and Data Quality initiatives across all of CLD.
We are undertaking a major transformation of our Account Management processes across Principal businesses. Today's onboarding and account lifecycle workflows rely on multiple back-office systems BPS/Impact for Principal activities-combined with manual coordination, Excel templates, and unstructured email exchanges. This fragmentation creates operational inefficiencies and limits our ability to automate and scale.
The Senior Business Data Officer plays a critical role in the modernization of account management, onboarding, and client reference data processes.
This role combines Operations and data expertise, focusing on improving end to end account lifecycle workflows, strengthening data quality controls, and enabling scalable, digital, and compliant solutions.
Daily Operational Support
ย ย ย ย Ensures accuracy, consistency, and control of client and account static data across core platforms.
ย ย ย ย Supports BAU operations, issue resolution, and regulatory requirements.
Subject Matter Expertise (SME) Across Platforms
ย ย ย ย Leads initiatives to replace fragmented, manual processes with structured data flows, standardized models, and automated controls.
ย ย ย ย Serves as a central point of expertise for multiple back office systems.
Process Transformation & Optimization
ย ย ย ย Analyzes onboarding, maintenance, and closure workflows to identify inefficiencies.
ย ย ย ย Redesigns processes and transitions manual, email driven activities into structured, digital solutions.
Cross Functional Bridge & Delivery Owner
ย ย ย ย Connects business, operations, technology, compliance, and vendors to translate complex needs into clear functional requirements.
ย ย ย ย Owns delivery from analysis through go live, driving continuous improvement and strengthening account lifecycle governance.
Responsibilities:
Account Lifecycle & Process Transformation
ย ย ย ย Analyze current account onboarding, creation, maintenance, and closure processes across multiple back office systems (BPS/Impact, AccountHub, Maestro, etc.).
ย ย ย ย Identify operational inefficiencies, manual handoffs, unstructured data dependencies, and data quality risks.
ย ย ย ย Redesign workflows to support standardized, digital, and scalable account lifecycle management.
ย ย ย ย Support the migration from email, spreadsheets, and PDFs to structured data capture and workflow driven processes.
Data Quality, Controls & Referential Data Management
ย ย ย ย Ensure accuracy, completeness, and consistency of client and account static data across all core systems.
ย ย ย ย Maintain and enhance data quality controls, including periodic reviews, exception analysis, and remediation efforts.
ย ย ย ย Lead and contribute to initiatives such as:ย
ย ย ย ย Quality driven data reviews (e.g., Business address remediation)
ย ย ย ย Reconciliation between systems (e.g., BPS vs. Maestro)
ย ย ย ย Migration of manual and legacy controls into centralized data quality platforms (IDQ)
ย ย ย ย Serve as a key contributor to data standardization and reference data harmonization efforts.
Systems, Integration & Platform Expertise
ย ย ย ย Map account attributes requirements across product specific systems.
ย ย ย ย Support the centralization of account data into AccountHub, the strategic account management platform.
ย ย ย ย Partner closely with IT teams to define:ย
ย ย ย ย Data models and attribute definitions
ย ย ย ย Validation rules and business logic
ย ย ย ย Integration flows and APIs
ย ย ย ย Contribute to workflow orchestration initiatives, including:ย
ย ย ย ย BOLT (Agency account lifecycle requests)
ย ย ย ย OCTO (Principal account lifecycle requests)
Stakeholder & Vendor Collaboration
ย ย ย ย Act as a bridge between Front Office, Operations, KYC/Onboarding, Compliance, Technology, and offshore teams.
ย ย ย ย Lead workshops and requirement gathering sessions with internal teams and external vendors (e.g., Broadridge).
ย ย ย ย Translate complex operational account management needs into clear functional specifications.
ย ย ย ย Provide subject matter guidance to offshore teams, ensuring procedures are understood, followed, and consistently applied.
Delivery, Oversight & Leadership
ย ย ย ย Drive initiatives from analysis through design, build, testing, and go live.
ย ย ย ย Produce high quality documentation, including BRDs, functional specifications, data mappings, and SOPs.
ย ย ย ย Support UAT planning and execution, ensuring solutions meet business, regulatory, and operational requirements.
ย ย ย ย Provide ongoing oversight of BAU activities, issue escalation, and continuous process improvement.
ย ย ย ย Mentor and guide team members, promoting knowledge sharing, training, and strong data discipline.
Required
ย ย ย ย 5 years of experience as a Business Data Officer or Business Data Officer within financial services.
ย ย ย ย Strong knowledge of account lifecycle management, client reference data, and KYC/AML processes.
ย ย ย ย Hands on expertise with back office platforms such as IMPACT, BPS and related data repositories.
ย ย ย ย Proven experience in data quality management, controls, remediation, and regulatory driven initiatives.
ย ย ย ย Ability to analyze complex data sets and reconcile discrepancies across multiple systems.
ย ย ย ย Strong communication skills, with the ability to work effectively with both technical and non technical stakeholders.
Preferred
ย ย ย ย Experience with AccountHub or similar centralized account management platforms.
ย ย ย ย Familiarity with workflow orchestration tools and data quality platforms (e.g., IDQ).
ย ย ย ย Experience working with external vendors (e.g., Broadridge).
ย ย ย ย Background in digital transformation, automation, or large scale data standardization initiatives.
Qualification:
ย ย ย ย Bachelor's Degree
ย ย ย ย Desired / Plus: MBA
ย
LANGUAGE:ย
Ability to communicate in English, both orally and in writing, is a requirement as the person in this position will need to collaborate regularly with colleagues and partners in the United States.ย
Due to US Federal Securities law that may apply to this position, candidates who will apply for this position may be required to submit to an enhanced background screening, including the collection of their fingerprints by a third-party vendor selected by the Financial Industry Regulatory Authority ("FINRA").