Job Description

Product Analyst

A Typical Day

The Product Analyst is a critical partner to the Product Owner/Product Manager and Scrum Team, responsible for translating strategic goals into actionable product requirements and measuring the overall effectiveness of modernization initiatives. This role provides data-driven insights and process support, ensuring goals related to feature delivery, process efficiency, and risk mitigation are met and continuously tracked.

The Product Analyst will:

• Translate data-driven insights into actionable recommendations, partnering with Product Owners to ensure analysis results in measurable strategic or operational improvements.
• Establish post-implementation tracking to measure and validate the actual business value and impact realized from product changes or strategic recommendations.
• Proactively identify and communicate emerging risks, optimization opportunities, or performance gaps to Product Leadership, translating complex analytical findings into clear business implications for strategic decision-making.
• Partner with the Product Owner to define, document, and refine user stories, acceptance criteria, and technical requirements for development.
• Actively participate in backlog grooming and prioritization sessions to ensure a well-defined and ready-to-deliver backlog.
• Support the Scrum Team by testing functionality as it’s being delivered and ensuring it meets the defined acceptance criteria.
• Engage directly with business stakeholders and end-users to understand, document, and prioritize new features and enhancements.
• Lead the triage and troubleshooting of production issues, collaborating with engineering and business teams to ensure timely resolution and root cause analysis.
• Analyze and report on the effectiveness of the data governance tool/function, measuring its contribution to accelerating time-to-insight and building data trust.
• Track data quality and integrity metrics during Data Ingestion & Lineage (Legacy to Snowflake including supporting automated reconciliation tests.
• Develop and monitor KPIs related to the Policy & Governance Framework to demonstrate progress in Risk Mitigation and Compliance.
• Develop metrics to monitor the rate of automatic resolution for failed replication jobs, ensuring the goal of achieving high Operational Resiliency and "zero business-critical reporting outages" is met.
• Support the evaluation of external governance platforms (e.g., DataHub/Collate/Sifflet) with data-driven cost-benefit analysis.

What You’ll Bring

• 4 Year college degree (Bachelor) or equivalent work experience
• Deep understanding of Agile methodologies (Scrum/Kanban), including writing user stories, defining acceptance criteria, and managing a product backlog.
• Strong quantitative and qualitative analytical skills, with a proven ability to define, measure, and report on key performance indicators (KPIs) for complex technical platforms.
• Tool Expertise: Tableau, Sigma, Power BI, BI toolset
• Proficiency with data warehousing (e.g., Snowflake) and SQL, BI tool analytics (e.g., Sigma), and an understanding of data governance/metadata concepts.
• Experience in monitoring data quality, tracking data lineage, and assessing migration risk.
• Ability to synthesize complex analytical findings into clear, concise reports and presentations for both technical and business stakeholders.
• Experience with JIRA, Scrum, Kanban, Sprint Planning

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