Data Product Analyst (Data Science)

Adastra Corporation; Markham; Remote; CAD 55,000 - 83,000; Full time

Job summary

Adastra Corporation seeks a Data Product Analyst (Data Science) to bridge business stakeholders, data science teams, and data management. You will frame problems, apply statistical and ML methods, and translate results into actionable recommendations to inform strategic decisions and improve processes.

You will elicit requirements, document processes, and facilitate alignment across technical and business teams while championing data stewardship.

Qualifications

• Bachelor’s degree as listed
• 2-5 years of experience in data analysis, data science, business analysis, product analytics, or similar roles
• 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
• Ability to connect data across multiple systems and enrich datasets for insights
• Excellent communication, tailoring messages for technical and business stakeholders
• Championing a consumer-first mindset in product, data, and insights decisions
• Cross-functional collaboration and influence without authority
• Curiosity and critical thinking to work with evolving datasets
• Proficiency with SQL, Python, and BI tools to explore and validate data
• Knowledge of statistics, model evaluation, and ML methods; exposure to AI and LLM tooling
• Experience with data modeling, ETL/ELT, and cloud data platforms; Git version control
• Proven ability to deliver data products for multiple stakeholders

Responsibilities

• Act as the Data Subject Matter Expert for data across the end-to-end data supply chain
• Translate business problems into analytical use cases and define requirements and success metrics
• Collect, clean, and analyze data from multiple structured and unstructured sources
• Apply statistical analysis and ML methods; develop predictive/descriptive models
• Translate findings into clear, business-friendly insights
• Elicit and manage business, functional, and non-functional requirements
• Support prioritization by assessing value, impact, complexity, and risk
• Collaborate with data engineers, architects, data scientists, and MLOps teams to productionize analytics
• Define testing acceptance criteria and support user validation
• Monitor and enhance data quality and alignment with priorities

Skills

SQL

Python

Power BI

Tableau

Data analysis

Stakeholder communication

Machine learning basics

Cloud platforms

Education

Bachelor’s degree in information systems, business analysis, statistics, computer science, data science, or related fields

Tools

Snowflake

Databricks

AWS

Git

Job description

Overview

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: New

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

QUALIFICATIONS, SKILLS & EXPERIENCE

• Bachelor’s degree in information systems, business analysis, statistics, computer science, data science, or related fields
• 2-5 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, 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

NICE TO HAVE

• Master’s degree in a quantitative field
• Experience building and evaluating machine learning models
• Familiarity with experimentation design, responsible AI, and model explainability

ABOUT ADASTRA

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.

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 OFFER

• Opportunity 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 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.

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.

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