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.

You will frame business problems as analytical and modeling questions, apply statistical and machine learning methods to answer them, and translate the results into clear, actionable recommendations.

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.

Primary Location: Across Canada

Work Model: Fully Remote

Employment Type: Contractor

Vacancy Status: Recent RESPONSIBILITIESAct 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 prioritiesQUALIFICATIONS, SKILLS & EXPERIENCEBachelor's degree in information systems, business analysis, statistics, computer science, data science,



or related fields2-5 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, Num

Py, 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 stakeholdersNICE TO HAVEMaster's degree in a quantitative field

Experience building and evaluating machine learning models

Familiarity with experimentation design, responsible AI, and model explainabilityABOUT ADASTRAAdastra 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. 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. 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. WHAT WE OFFEROpportunity for advancement and career progression

Competitive compensation Successful referral program

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 workplaceEQUAL OPPORTUNITY EMPLOYERIn 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. 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.

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 Docu

Sign and if you receive an employment offer from a suspicious email and not via Docu

Sign, it is fraudulent.

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.

📌 Data Product Analyst (Data Science) (Markham)
🏢 Adastra
📍 Markham