Data Product Analyst

The Data Product Analyst serves as a critical bridge between business stakeholders, analytics teams, and data management groups. This role combines strong data analysis capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design. In addition to championing data stewardship, the Data Product Analyst plays a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams.

Location: Across Canada & USA

Status: Contract, Remote 

Responsibilities:

• 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

Qualifications, Skills, & Experience: 

• 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

About Adastra

For more than 25 years, Adastra Corporation has been hyper-focused on data and the infrastructures to support it.  We are an international consulting company working work with businesses and IT Leaders to extract value through data and analytic solutions in the domains of Cloud, Data Management, Analytics, AI and ML, Governance, Hyper Automation, and Enterprise Application Development.  Our team of experts, combined with our worldclass data management platform, helps provide trusted insights, establish frameworks, enforce best practices,  and streamline processes for around-the-clock global coverage.  Adastra has a proven track record of helping organizations of all sizes – from SMEs to Fortune 1000s – achieve their data transformation goals, whether that be accelerating innovation, improving operational excellence, or creating unforgettable customer experiences.

What We Offer

• 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

Equal Opportunity Employer

In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code.  In addition, accommodation will be provided during the hiring process. Adastra Corporation's implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance.

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