Product Analyst

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