Titre du poste ou emplacement

ECOMM DATA QUALITY ANALYST (10 MONTH CONTRACT)

The Home Depot Canada - 321 emplois

Toronto, ON

Posté hier

Détails de l'emploi :

Temps plein
Contractuel
Niveau d`entrée

Avantages :

Programme de primes et d'incitations

Job Description

Pay Range: $65,000 - $95,000

At The Home Depot Canada, we want you to feel valued and supported. The pay range you see represents base salary only. In addition, your total rewards may include: semi-annual bonuses tied to business performance; Deferred Profit-Sharing Program to assist with retirement savings; comprehensive paid benefits; a 15% discount on Home Depot stock purchases; and merit-based salary increases. We are committed to recognizing your efforts and supporting your growth with us.

Are you someone who thrives on helping others succeed, enjoys making an impact, and takes pride in guiding customers to the right solutions for their projects? If you're also naturally curious and eager to keep learning, consider starting or growing your career with us at The Home Depot.

The Ecommerce Data Quality Analyst will support data quality improvement activities for HomeDepot.ca. This role is responsible for maintaining online data standards, producing regular and timely data quality status reports, tracking data quality performance, and providing recommendations for internal process improvements. This role will collaborate closely with cross-functional teams to identify data issues, implement quality control measure, and support data-driven decision-making through advanced analytics and visualization tools.

Key Responsibilities:

Data Quality Review & Validation

  • Review, analyze, and validate product data against defined online data standards.
  • Ensure accuracy, completeness, and compliance of product information with data governance principles.
  • Apply knowledge of data governance standards to maintain consistent data quality.

Process Development & Cross-Functional Collaboration

  • Collaborate with cross-functional teams to develop and implement online data quality processes.
  • Create, update, and maintain documentation to standardize data quality practices.
  • Manage workload efficiently, maintaining focus and objectivity under pressure.

Project Managing, Reporting & Operational Support

  • Plan, organize, and lead data quality projects to resolve operational challenges.
  • Prepare and present clear, concise reports highlighting data quality improvements and demonstrate the value added to the organization.
  • Troubleshoot and resolve operational challenges promptly, delivering effective solutions with professionalism and composure to ensure seamless data operations.

Competencies:

  • Collaborates
  • Action Oriented
  • Communicates Effectively
  • Plans and Aligns

Skills:

  • Familiarity with SAP and/or website technologies (Product Information Management /SEM)
  • Proficient in Alteryx and Microsoft Office with strong data querying skills (e.g., Google BigQuery, SQL)
  • Strong organizational, analytical and communication skills, excelling in cross-functional collaboration.

Direct Manager/Direct Reports:

  • Reports to Data Quality Supervisor
  • No direct reports

Travel Requirements:

  • Limited

Physical Requirements:

  • Extended Sitting

Work Location:

  • On Site Mon to Friday (1 Concorde Gate, North York)

Working Conditions:

  • Working in an Office setting: computer work, in person meetings, camera on virtual meetings

Minimum Education:

  • A bachelor's degree, diploma in a related field is required.

Minimum Years of Work Experience:

  • 3-5 years of retail industry experience required.

Minimum Leadership Experience:

  • None

Certifications:

  • Alteryx Core Certification is an asset.

Other Requirements/Assets:

  • At least 1 year of project and change management is an asset.
  • Proficiency in data visualization building (e.g., Tableau, Looker) is an asset.

In our commitment to efficiency, consistency, and a fair hiring experience for all candidates, The Home Depot Canada uses Artificial Intelligence (AI) technology to assist with the screening and assessment of applicants for this position. This technology is used to quickly and consistently identify candidates whose skills and experience are the strongest match for the role. Our process is designed to ensure human oversight is maintained throughout the selection process.

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