Data Product Analyst

This is a fully remote position, open to applicants in Canada.

📋 Description

• Serve as the Subject Matter Expert for international data throughout the entire data supply chain.

• Address data-related issues with business and marketing stakeholders, fostering trust in the data.

• Query, trace, and validate data from various sources to investigate discrepancies, respond to ad hoc inquiries, and uncover valuable insights.

• Convert analytical results into clear, business-friendly insights that aid in decision-making.

• Gather, document, and manage business, functional, and nonfunctional requirements.

• Oversee project delivery post-handoff by coordinating with data engineering, validating outputs, and resolving issues.

• Assist in prioritization by evaluating business value, impact, complexity, and risk.

• Ensure traceability of requirements throughout the development, testing, and deployment phases.

• Collaborate with data engineering analysts, architects, and engineers.

• Define acceptance and UAT criteria and assist with user validation.

• Monitor and improve data quality through profiling, validation, and remediation processes.

• Develop and maintain business-rule monitors and alerts.

• Participate in PSG and release go/no-go meetings.

• Manage meeting attendance and proactively address availability concerns.

⛳️ Requirements

• Bachelor’s degree in information systems, computer science, data analytics, or a related field, or equivalent experience.

• Over 5 years of experience in data analysis, product analytics, analytics engineering, or related roles, with substantial hands-on SQL experience.

• Proven ability to operate effectively in cross-functional environments and facilitate the delivery of data products for multiple stakeholders.

• Demonstrated accountability through successful delivery, production, and issue resolution across business and engineering teams.

• Proficient in advanced SQL and analytical tools, including Python.

• Experience with exploring, transforming, and validating complex datasets; tracing data lineage and ensuring data integrity.

• Technical expertise in data modeling, ETL/ELT pipelines, and cloud data platforms such as AWS.

• Proficient in eliciting requirements and converting business needs into technical specifications.

• Skilled in developing user stories, acceptance criteria, and product/data documentation.

• Strong understanding of data stewardship, data quality, lineage, metadata management, and responsible data usage.

• Ability to connect data across multiple systems and enhance datasets.

• Excellent communication skills with both technical and business stakeholders.

• Strong critical thinking and structured problem-solving abilities.

🏝️ Benefits

• Work From Home / remote work arrangement.