Data Product Analyst

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    "datePosted": "2026-02-03T05:00:00.000Z",
    "description": "<h2>Overview</h2>\n<p>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.</p>\n<p> </p>\n<p><strong>Primary Location:</strong> Across Canada or USA</p>\n<p><strong>Work Model: </strong> Fully Remote</p>\n<p><strong>Employment Type: </strong> Contractor</p>\n<p><strong>Vacancy Status: </strong> New</p>\n<p> </p>\n<p><strong>RESPONSIBILITIES</strong></p>\n<ul>\n <li>Act as the Data Subject Matter Expert to stakeholders with an understanding of data across the end‑to‑end data supply chain</li>\n <li>Collect, clean, and analyze data from multiple sources to uncover trends, patterns, and actionable insights</li>\n <li>Translate analytical findings into clear, business‑friendly insights that support decision‑making</li>\n <li>Elicit, document, and manage business, functional, and non‑functional requirements through techniques such as interviews, workshops, process analysis, and user story creation</li>\n <li>Conduct stakeholder analysis to understand needs, roles, dependencies, and expectations across teams</li>\n <li>Support prioritization by assessing business value, impacts, complexity, and risk</li>\n <li>Ensure traceability of requirements from intake through development, testing, and deployment</li>\n <li>Collaborate with data engineering analysts, architects, and engineers to ensure solutions reflect business context and use cases</li>\n <li>Define testing acceptance criteria, support user validation, and provide structured feedback for continuous improvement</li>\n <li>Monitor and enhance data quality through profiling, validation, remediation, and alignment with organizational priorities</li>\n</ul>\n<p><strong>QUALIFICATIONS, SKILLS & EXPERIENCE</strong></p>\n<ul>\n <li>Bachelor's degree in information systems, business analysis, or related fields</li>\n <li>2–5 years of experience in data analysis, business analysis, product analytics, or similar roles</li>\n <li>Proven ability to work effectively in cross‑functional environments and support the delivery of data products that serve multiple stakeholders</li>\n <li>Skilled at requirements elicitation, process mapping, and translating business needs into technical specifications</li>\n <li>Skilled in crafting user stories, acceptance criteria, and high‑quality product and data documentation to support scalable, repeatable workflows</li>\n <li>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 use cases</li>\n <li>Comfortable connecting data across multiple systems and enriching datasets to enable new insights for football, fan, and business stakeholders</li>\n <li>Excellent communication, with the ability to tailor messages for both technical teams (engineering, data science) and business stakeholders (club personnel, league departments)</li>\n <li>Champions a consumer-first mindset, consistently grounding product, data and insights decisions with a deep understanding of consumer behaviors and needs</li>\n <li>Collaborative mindset with the ability to influence without authority and drive alignment across cross‑functional teams</li>\n <li>Skilled at navigating ambiguity, asking the right clarifying questions, and moving teams toward clarity and action</li>\n <li>Naturally curious, with a passion for exploring new data sources, uncovering insights, and improving data quality</li>\n <li>Strong critical thinking and structured problem‑solving, especially when interpreting incomplete, messy, or evolving datasets</li>\n <li>Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate complex datasets that span across multiple product disciplines</li>\n <li>Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms (e.g., Snowflake, Databricks, AWS) to support reliable data products</li>\n</ul>\n<p><strong>ABOUT ADASTRA</strong></p>\n<p>Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence—responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement. </p>\n<p> </p>\n<p>Trusted by some of the world’s most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey—building future-ready capabilities and delivering measurable, lasting impact. </p>\n<p> </p>\n<p>Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.</p>\n<p> </p>\n<p><strong>WHAT WE OFFER</strong></p>\n<ul>\n <li>Opportunity for advancement and career progression</li>\n <li>Competitive compensation</li>\n <li>Successful referral program</li>\n <li>The opportunity to work with one of Canada’s 50 Best Managed Companies</li>\n <li>Satisfaction of working for a reputable company </li>\n <li>A flexible, dynamic, and diverse workplace</li>\n</ul>\n<p><strong>EQUAL OPPORTUNITY EMPLOYER</strong></p>\n<p>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.</p>\n<p> </p>\n<p><em>AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions.</em></p>\n<p><em>There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees. Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from ‘@adastragrp.com’ or ‘@talent.icims.com’ are fraudulent. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent.</em></p>\n<p> </p>\n<p><em>Contact [email protected] to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.</em></p>",
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