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About the Role
The Senior Data Analyst is a hands-on analytical contributor embedded in the engineering team, bridging the gap between data and the engineers, product managers, and data analysts building and evaluating the Knowledge Graph. The primary focus is data integrity, validating datasets, verifying query outputs, tracing the root cause of discrepancies, and applying statistical methods to assess data quality across multiple storage technologies. This is a practitioner role focused on delivering validated results, documented defects, root cause analysis, and statistical assessments.
Responsibilities
- Validate datasets loaded into each technology to confirm completeness, accuracy, and structural integrity relative to source data
- Verify benchmark query outputs across technologies to confirm consistent and correct results
- Identify, document, and trace the root cause of data discrepancies and defects
- Develop and maintain validation test cases and expected outputs for benchmark queries and compliance use cases
- Support the collection and documentation of compliance use cases from the business unit
- Apply statistical methods to evaluate dataset representativeness, sampling quality, and measurement reliability
- Analyze benchmark result distributions to identify outliers and assess variance
- Produce summary statistics and data quality reports
- Document validation findings, defect reports, and root cause analyses
- Maintain a running record of known data issues and their resolution status
Requirements
- Demonstrated experience validating large, complex datasets, identifying discrepancies, tracing root causes, and documenting findings
- Experience working with data at significant scale where systematic validation approaches are required
- Familiarity with ETL pipelines and data quality issues
- Ability to interpret benchmark result data and distinguish meaningful performance differences from noise
- Ability to work independently under minimal supervision
- Experience embedded in a cross-functional engineering team
Skills
- Strong SQL skills
- Analytical query writing against relational databases
- Practical experience applying statistical methods to data quality assessment
- Comfort working across multiple database technologies and query languages
- Experience with Databricks or similar distributed data platforms (Spark, Delta Lake)
- Strong written communication skills
Location
- Ontario Canada
- Toronto
Work Type
- Fixed term contract
- Remote
Experience Level
- Senior
Salary/Compensations
- $70 hourly
Benefits
- Global opportunities
- Benefits that help you thrive
- Accommodations for accessibility
About the Company
- DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands.
- DEPT® has a deep skillset in tech and marketing.
- DEPT® has 2,500+ digital specialists across 30+ locations on 5 continents.
- DEPT® is a B Corp-certified company passionate about purpose-driven work.
- DEPT® participates in E-Verify.
Equal Opportunity
- DEPT® is an equal opportunity employer (EOE).
- Committed to an inclusive and barrier-free recruitment and selection process and workplace.
- Actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.
- Encourage reaching out to discuss reasonable adjustments for the recruitment process and time with the company.