This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Due to growth, we are adding a Sr. Analyst, Data Governance to our team! The Sr. Analyst, Data Governance role has a direct impact on maturing the organization forward toward a data-driven culture. The Sr. Analyst, Data Governance champions Enterprise Data Governance within the organization and is essential for helping define and execute a Data Strategy roadmap. This individual will support the development and execution of the data governance framework by partnering with Domain Owners and Data Stewards to organize data assets and train the organization to adopt data governance best practices. The Sr. Analyst, Data Governance works in close partnership with technology and senior leadership to actively support initiatives to implement Enterprise Data Governance framework and instill data-centric culture. Responsibilities - Assist with and facilitate enterprise-wide Data Governance program activities and collaborate on strategic initiatives for data governance, data quality, and metadata activities. - Support Data Governance Council and Data Governance Committee, ensuring execution of follow-up tasks assigned from the meetings, providing education and support for data governance across the organization. - Accountable for the analysis, development, and build of an Enterprise Data Catalog while also building related data lineage to directly support privacy, security, legal, and audit initiatives. - Design and recommend data quality improvement opportunities. - Work with the business to develop and publish KPIs as it relates to data quality and integrity for accessibility across all business areas. - Point of contact for and liaison between business Data Domain Owners, Data Stewards, and IT. - Work with Domain Owners to establish, maintain, and distribute definitions of data elements used by Analytics in conjunction with Domain Owners throughout the organization. - Lead analysis and remediation efforts for complex multi-domain data issues as identified by the business and Data Governance Committee. - Mentor junior team members. - Other duties as assigned. Qualifications - BA/BS with focus on business, economics, computer science, information management systems, mathematics, statistics or equivalent combined education and experience preferred. - Preferred 5+ years of experience in one or a combination of the following: data management, data governance, data quality or data analysis. - Experience with BI tools such as Tableau, Qlikview/QlikSense, SAS, Power B.I. or other Business Intelligence software and/or data visualization programs is preferred. - Data querying tools such as SQL, Python or R is preferred. - Prior experience with data catalog tools such as Alation or Collibra is preferred. - An advanced ability to interact with various database and file storage systems (Oracle, NoSQL, etc). - Experience working in AWS/GCP cloud environments is a plus. - Advanced level experience with spreadsheet tools such as Microsoft Excel or Google Sheets and Data visualization software such as Tableau, Qlik, or Power BI. - Participate in, adhere to, and support compliance program objectives. - The ability to consistently interact cooperatively and respectfully with other employees. Benefits - Top of the industry benefits for Health, Dental, and Vision insurance. - 20 days paid time off. - 4 weeks paid parental leave. - 9 paid holidays. - 401K company match of up to 5% - No vesting requirement. - Adoption Assistance Program. - Flexible Spending Account. - Educational Assistance Plan and Professional Membership assistance. - Referral Bonus Program – up to $750!

• Support product and business teams in working with different stages of customer activation and reactivation funnels, including personalized and engagement features, educational and onboarding tools, navigation guidance, and other call-to-action mechanics. • Take a holistic view of the customer lifecycle, identifying opportunities to improve long-term value, customer loyalty, and overall LTV, rather than focusing on isolated features or metrics. • Generate hypotheses, conduct research and A/B tests, and present your findings clearly and compellingly highlighting the importance of your insights. • Collaborate with business teams in addition to the product team. • Support and monitor existing Tabby Customer Lifecycle metrics, identify areas for improvement, and develop new metrics that inform decision-making across the organization. • Develop data visualizations and reports that are informative and easily understood by business and product teams. • Own and analyze raw product and behavioral events, transforming low-level data into actionable insights for product and business teams. • Assist in the planning of necessary data structures.

• Diseñar, desarrollar y mantener dashboards interactivos y reportes en herramientas de analítica como Tableau y/o Power BI • Escribir consultas SQL (joins, agregaciones, subconsultas) para extraer, transformar y validar datos desde distintas fuentes • Apoyar la limpieza y preparación de datos utilizando Python (pandas, NumPy) y herramientas como Power Query o Tableau Prep • Participar en el ciclo analítico completo : entendimiento del negocio, ingesta, transformación, análisis exploratorio, visualización y documentación • Presentar hallazgos e insights de manera clara y concisa al equipo y apoyar sesiones de storytelling con datos • Documentar procesos, definiciones de KPIs y metodologías para asegurar calidad y trazabilidad

• Own end-to-end funnel analysis across all product areas, identifying drop-off points and conversion opportunities • Analyze user journeys through activation, engagement, and retention to uncover friction points for different cohorts and user segments • Partner with Product teams to prioritize and measure funnel improvement initiatives • Define and track customer value metrics (activation, adoption, retention, engagement, conversion), business KPIs (ARR, churn, LTV, CAC) and translate them into actionable product signals • Create insightful dashboards showing how product improvements impact customer value and business outcomes • Autonomously design and lead A/B tests focused on funnel conversion improvements, partnering with stakeholders • Proactively propose experiments to unlock new customer value levers and optimize conversion rates • Select success metrics, analyze results, and interpret statistical significance to inform decisions • Develop and maintain data models using dbt (incremental models, snapshots, documentation, generic tests, macros) • Apply data modeling techniques (star/snowflake schema, data-marts, SCDs) and optimize BigQuery queries using clustering/partitioning for performance and cost efficiency • Work as embedded peer within Product squads, participating in syncs and discovery sessions to surface customer pain points and bottlenecks • Communicate findings effectively to technical and non-technical stakeholders and mentor junior analysts to promote excellence