Remote Data Product Analyst: Data Quality & Insights

Jobgether; Canada; Remote; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Remote work

International exposure

Technical development

End-to-end ownership

Cross-functional collaboration

Professional growth

Job summary

Jobgether is seeking a Data Product Analyst based in Canada to serve as a bridge between business stakeholders and data engineering teams. You will ensure international data accuracy, drive data quality initiatives, and manage data requirements from discovery through development, release, and monitoring.

You will collaborate with analysts, architects, engineers, and business teams to define acceptance criteria, validate data, and deliver scalable data products in an international, technically

Qualifications

• Extensive hands-on SQL experience is required.
• Strong Python skills for data exploration and validation.
• Experience translating business needs into technical specs.
• Ability to investigate data issues and validate findings independently.
• Knowledge of data modeling, ETL/ELT, and cloud platforms (AWS).
• Excellent written and verbal communication.

Responsibilities

• Act as SME for international data and end-to-end data supply chain.
• Investigate discrepancies and build confidence in data accuracy.
• Query, trace, and validate information from multiple sources.
• Translate analytical findings into business-friendly explanations.
• Define acceptance criteria and UAT scenarios.
• Collaborate with data engineers, architects, and analysts.
• Monitor data quality and drive improvements.

Skills

SQL

Python

Data analysis

Analytics engineering

Requirements gathering

Stakeholder communication

Cross-functional collaboration

Data storytelling

Education

Bachelor’s degree in Information Systems, Computer Science or Data Analytics

Tools

D3

Job description

Jobgether is seeking a Data Product Analyst based in Canada to serve as a bridge between business stakeholders and data engineering teams. You will ensure international data accuracy, drive data quality initiatives, and manage data requirements from discovery through development, release, and monitoring.

You will collaborate with analysts, architects, engineers, and business teams to define acceptance criteria, validate data, and deliver scalable data products in an international, technically