Data Product Analyst (Data Science)

Job Title: Data Product Analyst (Data Science) Company: Adastra Corporation Job Category: Data Science Roles & Responsibilities: Adastra is seeking a Data Product Analyst (Data Science) to serve as a critical bridge between business stakeholders, data science and analytics teams, and data management groups. This role combines strong data analysis and data science capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design. RESPONSIBILITIES * Act as the Data Subject Matter Expert to stakeholders with an understanding of data across the end\-to\-end data supply chain * Translate business problems into well\-scoped analytical and data science use cases, working with stakeholders and technical leads to define requirements, success metrics, and approach * Collect, clean, and analyze data from multiple structured and unstructured sources to uncover trends, patterns, and actionable insights * Apply statistical analysis and experimentation (e.g., A/B testing) and develop predictive and descriptive models (e.g., segmentation, classification, forecasting, anomaly detection) in partnership with data science and engineering teams, evaluating performance with attention to bias, data leakage, and overfitting * Translate analytical and modeling findings into clear, business\-friendly insights * Elicit, document, and manage business, functional, and non\-functional requirements through techniques such as interviews, workshops, process analysis, and user story creation * Support prioritization by assessing business value, impacts, complexity, and risk, and ensure traceability of requirements from intake through development, testing, and deployment * Collaborate with data engineers, architects, data scientists, and MLOps teams to ensure solutions reflect business context and use cases, and to move analytical work from prototype toward production * 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 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. Work Location: Markham, Canada Availability: Full time

QUALIFICATIONS, SKILLS \& EXPERIENCE * Bachelor’s degree in information systems, business analysis, statistics, computer science, data science, or related fields * 2\-1-3 years of experience in data analysis, data science, business analysis, product analytics, or similar roles * Skilled at requirements elicitation, process mapping, and translating business needs into technical specifications, user stories, acceptance criteria, and high\-quality documentation * Strong understanding of data stewardship principles, including data quality, lineage, metadata management, and responsible data use, and the ability to adapt these skills across a wide range of use cases * Comfortable connecting data across multiple systems and enriching datasets to enable new insights for business stakeholders * Excellent communication, with the ability to tailor messages for both technical teams (engineering, data science) and business stakeholders, including explaining model approaches and trade\-offs * Champions a consumer\-first mindset, grounding product, data, and insights decisions in a deep understanding of consumer behaviors and needs * Collaborative mindset with the ability to influence without authority, navigate ambiguity, and drive alignment across cross\-functional teams * Naturally curious and a strong critical thinker, with a passion for exploring new data sources and solving problems with incomplete, messy, or evolving datasets * Strong analytical toolkit leveraging SQL, Python (e.g., pandas, NumPy, scikit\-learn), and BI tools (e.g., Power BI, Tableau) to explore, transform, model, and validate complex datasets * Solid grounding in statistics, model evaluation, and validation practices, with working knowledge of machine learning methods (e.g., regression, tree\-based models, time\-series forecasting) and exposure to generative AI and LLM\-based tooling * Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms (e.g., Snowflake, Databricks, AWS) to support reliable data products, along with Git\-based version control * Proven ability to work effectively in cross\-functional environments and support the delivery of data products, including analytical and ML\-driven products, that serve multiple stakeholders * Master’s degree in a quantitative field * Experience building and evaluating machine learning models * Familiarity with experimentation design, responsible AI, and model explainability 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.* Key Skills: Data Science Salary: CAD 75800 - 95000 per yearly