Data Quality Analyst Intern

Description

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What You'll Do

Key Responsibilities

• Review, validate, and update asset and customer data across multiple systems.
• Perform data cleansing and remediation activities to improve data accuracy and completeness.
• Conductfrequent customeroutreach, primarily byphone, to validate, confirm,and enrichcustomer and assetinformation.
• Complete repetitive data validation, data entry, and follow-up activities with a high level of consistency and attention to detail.
• Investigate data discrepancies and identify root causes of recurring data quality issues.
• Track phone outreach outcomes, customer responses, and required follow-up actions clearly and accurately.
• Document findings, patterns, and recommendations to support long-term improvements.
• Maintain accurate records of completed updates and audit trails.
• Support reporting and measurement of data quality improvements and business outcomes.
• Collaborate withITand business teams to prioritize and resolve issues.

What We're Looking For

Required Qualifications

• Currently enrolled in or recently completed a post-secondary program in: Information Technology or Data Analytics or BusinessAnalysis or Business AdministrationOr a related field.
• Proficient with Microsoft Excel and Microsoft Office applications.
• Strong attention to detail and commitment to data accuracy.
• Excellent organizational and problem-solving skills.
• Strong written and verbal communication skills, including confidence making professional phone calls to customers.
• Comfortableperformingrepetitive, detail-oriented work for extended periodswhile maintainingaccuracy andquality.

Preferred Qualifications:

• Experience conducting research, data validation,customer outreach
• Experience or being comfortable with engaging customers via telephone to collect, verify, and update key information.
• Experience working with databases, SQL,Fabric,Power BI,AI,orrelatedtools.
• Understanding of data quality, data governance, or master data management principles.
• Familiarity with ERP, CRM, or enterprise business systems is an asset.

What Success Looks Like

• Improve the quality and reliability of customer and asset data.
• Support key business transformation and system migration initiatives.
• Enhance digital data consumption across internal and external platforms.
• Identify opportunities to reduce recurring data quality issues.
• Enable better business decisions through more accurate information.

Why Join Finning?

• Gain real-world experience working with enterprise-scale data.
• Contribute to meaningful projects that impact customers and business operations.
• Work alongside experienced data, analytics, and technology professionals.
• Develop practical skills in data quality, business process improvement, and digital transformation.
• Build valuable experience that can support future careers in data analytics, business intelligence, information management, or technology.

Ideal Candidate:We're looking for someone whois comfortable with structured, repetitive work and takes pride in doing it accurately. The ideal candidateenjoys solving puzzles, finding patterns in data, andfollowing through on customer outreach, including regular phone calls, to validate information.If you'rehighly organized,patient, comfortable speakingwithcustomers, and motivated by improvingdataquality, we'd love to hear from you.

At Finning, we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer, and we actively encourage all individuals to express themselves and achieve their full potential. As a company, we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do not discriminate against applicants based on gender identity, race, national and ethnic origin, religion, age, sexual orientation, marital and family status, and/or mental or physical disabilities. Furthermore, Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process, please inform your recruiter.