Overview
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 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 endtoend data supply chain
- Collect clean and analyze data from multiple sources to uncover trends patterns and actionable insights
- Translate analytical findings into clear businessfriendly insights that support decisionmaking
- Elicit document and manage business functional and nonfunctional 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 :
Bachelors degree in information systems business analysis or related fields25 years of experience in data analysis business analysis product analytics or similar rolesProven ability to work effectively in crossfunctional environments and support the delivery of data products that serve multiple stakeholdersSkilled at requirements elicitation process mapping and translating business needs into technical specificationsSkilled in crafting user stories acceptance criteria and highquality product and data documentation to support scalable repeatable workflowsStrong 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 casesComfortable connecting data across multiple NFL systems and enriching datasets to enable new insights for football fan and business stakeholdersExcellent 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 needsCollaborative mindset with the ability to influence without authority and drive alignment across crossfunctional teamsSkilled at navigating ambiguity asking the right clarifying questions and moving teams toward clarity and actionNaturally curious with a passion for exploring new data sources uncovering insights and improving data qualityStrong critical thinking and structured problemsolving especially when interpreting incomplete messy or evolving datasetsStrong analytical toolkit leveraging SQL Python and data querying tools to explore transform and validate complex datasets that span across multiple product disciplinesWorking knowledge of data modeling ETL / ELT pipelines and cloud data platforms (e.g. Snowflake Databricks AWS) to support reliable data productsAbout 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 progressionCompetitive compensationThe opportunity to work with one of Canadas 50 Best Managed CompaniesSatisfaction of working for a reputable companyA flexible dynamic and diverse workplaceEqual 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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Required Experience :
IC
Key Skills
Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics
Employment Type : Full Time
Experience : years
Vacancy : 1