Product Analyst leveraging data to define success metrics and optimize business impact for a leading MLS platform in North America. Collaborates closely with engineering and design teams.
About the role
- Senior Data Product Analyst shaping and evaluating data-driven products combining analytics and product development at Guideline. Focusing on transforming complex datasets into actionable insights for marketing decisions.
Responsibilities
- Partner with Product and Engineering teams to research, evaluate, and develop new data-driven products and feature enhancements, conducting deep analyses on complex spend, pricing, and performance datasets to identify patterns, assess data viability, and inform design decisions from concept through production.
- Contribute to go-to-market release execution by validating data in production environments, coordinating QA and feature testing, preparing product collateral, and delivering internal demos to align stakeholders on new functionality — all to drive successful adoption and launch readiness.
- Support release management by validating production data, investigating anomalies, providing analytical context for product and customer teams, and coordinating release communications to facilitate transparency and smooth deployment across teams.
- Design and implement automated data validation and quality frameworks for digital products — defining thresholds, conditional formatting, and anomaly detection logic to proactively flag and resolve data issues, streamline QA processes, and ensure accuracy and reliability across releases.
- Lead critical business-as-usual operations for monthly data releases, ensuring quality, reliability, and on-time delivery for customers by driving validation efforts, coordinating stakeholders, and resolving issues efficiently to support client retention and confidence.
- Champion best practices in data governance, validation, and experimentation, establishing standards and documentation that enhance data quality, reliability, and analytical rigor across teams.
- Play an active role in PI Planning, shaping backlog priorities, validating scope and acceptance criteria, and ensuring coordination across Product and Engineering teams to set realistic and value-driven delivery goals.
- Leverage AI-powered analytical tools and LLM-based workflows to accelerate data validation, insight generation, and documentation.
- Partner with engineering teams to integrate machine-learning–based anomaly detection and data quality checks into the product pipeline.
- Identify product opportunities where AI or predictive modeling can enhance user experience, improve accuracy, or surface actionable insights.
- Evaluate dataset readiness for AI/ML use cases, ensuring structures, definitions, and data governance support high-quality model performance.
Requirements
- Extensive experience as a Data Analyst in a data-centric or product-driven environment, with the ability to translate analytical insights into product strategy and measurable business impact.
- Strong analytical and problem-solving skills — able to identify trends, anomalies, and opportunities in large datasets.
- Proficiency in SQL for querying, transforming, and validating complex datasets.
- Hands-on experience with Power BI or equivalent BI tools (Tableau, Looker, Sisense, Qlik).
- Demonstrated ability to communicate complex findings clearly, collaborate effectively with cross-functional teams, and influence decisions across Product, Engineering, and Operations.
- Highly organized, detail-oriented, and proactive in managing multiple priorities and deadlines.
Benefits
- Health, dental, life, and disability insurance
- RRSP with company match
- Paid time off and parental leave
- Teledoc Health services
- Employee recognition and referral bonuses
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