Data Product Manager — Land & Royalty Analytics

Tiger Analytics Inc.; Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

Tiger Analytics is seeking a Business Analyst to support due diligence, portfolio monitoring, and investment analysis by ensuring data integrity for land, mineral, and royalty information. The role blends analytical work with collaboration across geoscience, legal, finance, and engineering teams.

The candidate will collect, validate, and integrate diverse data into internal systems, translate business needs into requirements, and contribute to KPI development and reporting.

Qualifications

• Proven experience in data analysis and business requirements gathering.
• Strong documentation of processes, data definitions, and workflows.
• Ability to translate business needs into analytical requirements and actions.

Responsibilities

• Collect, validate, and integrate land, lease, title, deed, mineral, and royalty data into internal systems.
• Lead or support data analysis, requirements gathering, and documentation across cross-functional teams.
• Translate complex business needs into analytical requirements, process docs, and insights.
• Support data mapping, reporting, KPI development, and data quality initiatives across systems.
• Partner with business, IT, and vendor teams to drive alignment, testing, and implementation.
• Operate independently with strong coordination and status updates across priorities.

Skills

Data analysis

Stakeholder communication

Process documentation

Requirements gathering

Cross-functional collaboration

Workflow mapping

Ability to learn quickly

Business understanding

Tools

SQL

Excel

Master Data Management

Job description

Tiger Analytics is seeking a Business Analyst to support due diligence, portfolio monitoring, and investment analysis by ensuring data integrity for land, mineral, and royalty information. The role blends analytical work with collaboration across geoscience, legal, finance, and engineering teams.

The candidate will collect, validate, and integrate diverse data into internal systems, translate business needs into requirements, and contribute to KPI development and reporting.