We’re seeking a hands-on Data Quality Analyst to lead data profiling, cleansing, migration validation, and ongoing governance during a multi-phase ERP/CRM transition. You’ll partner with Business Systems, Finance, Operations, and RevOps to define data standards, remediate quality issues at the source, and ensure that data moved into NetSuite is complete, accurate, consistent, and reconciled back to SAP B1 and Salesforce. What You’ll Do Data Discovery & Standards Profile legacy data sets (SAP B1, Salesforce, downstream extracts) to quantify quality issues (duplicates, nulls, invalid values, orphaned records, referential breaks). Define and socialize data quality rules and validation thresholds for critical objects (customers, vendors, items, chart of accounts, price books, opportunities, orders, invoices, inventory, BOMs). Establish data dictionaries and mapping specs (source → staging → NetSuite) including transformations, reference data, and business rules. Cleansing, Mapping & Readiness Design and execute cleansing plans (standardization, deduplication, survivorship rules, address/phone/email normalization, code set alignment). Build transformation logic for fields that change across systems (e.g., COA structure, unit of measure, tax handling, multi‑subsidiary/entity mappings). Coordinate test loads with the migration team; track and close defects in an issue log. Migration Testing & Reconciliation Create test cases and acceptance criteria for mock loads, CRP/SIT, UAT, and cutover; verify row counts, referential integrity, and business-calculated balances. Reconcile financial and operational data between legacy systems and NetSuite (e.g., AR/AP aging, inventory on hand/valuation, open orders, deferred revenue). Produce “go/no‑go” quality dashboards before each migration wave; document sign‑offs. Data Governance & Post‑Go‑Live Implement data controls (validation rules, picklists, reference tables) to prevent regression in NetSuite post‑go‑live. Define stewardship model and RACI; set up SLAs and monitoring for ongoing data quality KPIs. Train business users on data standards; build quick reference guides and SOPs. Key Outcomes (First 90–180 Days) Baseline data quality assessment with quantified risk and remediation plan. Approved source‑to‑target mappings and transformation logic for priority objects. Successful mock loads with ≥99% record acceptance for in‑scope entities. Financial and operational reconciliation within agreed tolerances (e.g., ±0.5%). Post‑go‑live DQ dashboard live with automated monitoring and ownership defined. Required Experience & Skills 4–7+ years in data quality / data migration / master data management roles. Hands-on with ERP/CRM data—preferably SAP Business One, Salesforce, and NetSuite object models (customers, items, vendors, transactions, COA). Strong SQL and data profiling skills; comfortable with large datasets and joins. Proven experience designing and executing data validation and reconciliation for ERP cutovers (financials, order-to-cash, procure-to-pay, inventory). Solid understanding of accounting data structures (GL, subledgers, multi-entity) and operational data (price lists, BOM, inventory locations). Excellent documentation (mappings, dictionaries, rules) and stakeholder communication.

• Minimum of 10 years of experience in data quality, migration, or master data management roles with a strong attention to detail. • Expertise in data profiling, validation, and reconciliation techniques, with hands-on experience managing large datasets. • Proficiency with tools and technologies such as SQL, data visualization software, and data mining techniques. • Strong knowledge of accounting data structures, operational data, and system object models related to platforms such as Salesforce or NetSuite. • Proven ability to design and execute data migration plans, including mock loads and post-migration reconciliations. • Excellent documentation skills for creating mappings, dictionaries, and rules, as well as strong communication abilities. • Familiarity with QA management practices and dashboard creation for data reporting. • Experience with Informatica, Maps API, and Microsoft tools for data analysis and transformation.

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. <a href="https://www.roberthalf.com/ca/en/mobile-app" target="_blank">Download the Robert Half app</a> and get 1-tap apply, notifications of AI-matched jobs, and much more. Questions? Call your local office at 1.888.490.4429. All applicants applying for Canadian job openings must be authorized to work in Canada. Only job postings for jobs located in Quebec appear in French. © 2025 Robert Half. By clicking “Apply,” you’re agreeing to Robert Half’s <a href="https://www.roberthalf.com/ca/en/terms">Terms of Use</a> and <a href="https://www.roberthalf.com/ca/en/privacy">Privacy Notice</a>.

Calgary, AB
remote
Temporary
98.9615 - 114.587 CAD / Hourly
We’re seeking a hands-on Data Quality Analyst to lead data profiling, cleansing, migration validation, and ongoing governance during a multi-phase ERP/CRM transition. You’ll partner with Business Systems, Finance, Operations, and RevOps to define data standards, remediate quality issues at the source, and ensure that data moved into NetSuite is complete, accurate, consistent, and reconciled back to SAP B1 and Salesforce. What You’ll Do Data Discovery & Standards Profile legacy data sets (SAP B1, Salesforce, downstream extracts) to quantify quality issues (duplicates, nulls, invalid values, orphaned records, referential breaks). Define and socialize data quality rules and validation thresholds for critical objects (customers, vendors, items, chart of accounts, price books, opportunities, orders, invoices, inventory, BOMs). Establish data dictionaries and mapping specs (source → staging → NetSuite) including transformations, reference data, and business rules. Cleansing, Mapping & Readiness Design and execute cleansing plans (standardization, deduplication, survivorship rules, address/phone/email normalization, code set alignment). Build transformation logic for fields that change across systems (e.g., COA structure, unit of measure, tax handling, multi‑subsidiary/entity mappings). Coordinate test loads with the migration team; track and close defects in an issue log. Migration Testing & Reconciliation Create test cases and acceptance criteria for mock loads, CRP/SIT, UAT, and cutover; verify row counts, referential integrity, and business-calculated balances. Reconcile financial and operational data between legacy systems and NetSuite (e.g., AR/AP aging, inventory on hand/valuation, open orders, deferred revenue). Produce “go/no‑go” quality dashboards before each migration wave; document sign‑offs. Data Governance & Post‑Go‑Live Implement data controls (validation rules, picklists, reference tables) to prevent regression in NetSuite post‑go‑live. Define stewardship model and RACI; set up SLAs and monitoring for ongoing data quality KPIs. Train business users on data standards; build quick reference guides and SOPs. Key Outcomes (First 90–180 Days) Baseline data quality assessment with quantified risk and remediation plan. Approved source‑to‑target mappings and transformation logic for priority objects. Successful mock loads with ≥99% record acceptance for in‑scope entities. Financial and operational reconciliation within agreed tolerances (e.g., ±0.5%). Post‑go‑live DQ dashboard live with automated monitoring and ownership defined. Required Experience & Skills 4–7+ years in data quality / data migration / master data management roles. Hands-on with ERP/CRM data—preferably SAP Business One, Salesforce, and NetSuite object models (customers, items, vendors, transactions, COA). Strong SQL and data profiling skills; comfortable with large datasets and joins. Proven experience designing and executing data validation and reconciliation for ERP cutovers (financials, order-to-cash, procure-to-pay, inventory). Solid understanding of accounting data structures (GL, subledgers, multi-entity) and operational data (price lists, BOM, inventory locations). Excellent documentation (mappings, dictionaries, rules) and stakeholder communication.
2026-03-09T00:00:00Z

Senior Data Quality Analyst Job in Calgary, AB | Robert Half