Data Product Analyst
Adastra Corporation
- Markham, ON
- Permanent
- Temps-plein
- Act as the Data Subject Matter Expert to stakeholders with an understanding of data across the end‑to‑end data supply chain
- Collect, clean, and analyze data from multiple sources to uncover trends, patterns, and actionable insights
- Translate analytical findings into clear, business‑friendly insights that support decision‑making
- Elicit, document, and manage business, functional, and non‑functional requirements through techniques such as interviews, workshops, process analysis, and user story creation
- Conduct stakeholder analysis to understand needs, roles, dependencies, and expectations across teams
- Support prioritization by assessing business value, impacts, complexity, and risk
- Ensure traceability of requirements from intake through development, testing, and deployment
- Collaborate with data engineering analysts, architects, and engineers to ensure solutions reflect business context and use cases
- Define testing acceptance criteria, support user validation, and provide structured feedback for continuous improvement
- Monitor and enhance data quality through profiling, validation, remediation, and alignment with organizational priorities
- Bachelor's degree in information systems, business analysis, or related fields
- 2–5 years of experience in data analysis, business analysis, product analytics, or similar roles
- Proven ability to work effectively in cross‑functional environments and support the delivery of data products that serve multiple stakeholders
- Skilled at requirements elicitation, process mapping, and translating business needs into technical specifications
- Skilled in crafting user stories, acceptance criteria, and high‑quality product and data documentation to support scalable, repeatable workflows
- Strong understanding of data stewardship principles, including data quality, lineage, metadata management, and responsible data use and the ability to adapt analytical and stewardship skills across a wide range of NFL use cases
- Comfortable connecting data across multiple NFL systems and enriching datasets to enable new insights for football, fan, and business stakeholders
- Excellent communication, with the ability to tailor messages for both technical teams (engineering, data science) and business stakeholders (club personnel, league departments)
- Champions a consumer-first mindset, consistently grounding product, data and insights decisions with a deep understanding of consumer behaviors and needs
- Collaborative mindset with the ability to influence without authority and drive alignment across cross‑functional teams
- Skilled at navigating ambiguity, asking the right clarifying questions, and moving teams toward clarity and action
- Naturally curious, with a passion for exploring new data sources, uncovering insights, and improving data quality
- Strong critical thinking and structured problem‑solving, especially when interpreting incomplete, messy, or evolving datasets
- Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate complex datasets that span across multiple product disciplines
- Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms (e.g., Snowflake, Databricks, AWS) to support reliable data products
- Opportunity for advancement and career progression
- Competitive compensation
- The opportunity to work with one of Canada’s 50 Best Managed Companies
- Satisfaction of working for a reputable company
- A flexible, dynamic, and diverse workplace