• Continuously collaborate with senior stakeholders to understand the key KPIs and goals and translate them into reporting specifications.
• Manages the administration and execution of the KPI reporting by designing and maintaining the appropriate reporting interfaces and deliverables e.g. spreadsheets, dashboards, automated emails.
• Actively monitor marketing or product KPIs and progress to product portfolios, identify variations in performance and alert product stakeholders accordingly.
• Effectively prioritize and support important ad-hoc queries and analysis needed by product stakeholders e.g. product portfolio meetings.
• Support training & onboarding for team members and company to the various existing metrics.
• Work with Analytics Engineer and fellow data team members in developing core datasets that ensure self-service availability of important product data, with the right format and granularity.
• Monitor and maintain dashboards on the health of our transactional experiences across orders, payments, and loyalty (error rates etc) and deep dive where necessary.
• Maintain thorough knowledge of existing and emerging metrics as needed for analytics and diligently update the data glossary.
• Contribute to the data team knowledge base and overall team growth through effective work documentation & peer knowledge sharing.

Key Challenges:

• The role will require the ability to work across both the technical and business divide – he/she should have product acumen to understand marketing or product metric reporting requirements, technical skills in order to develop the reporting interfaces and deliverables and ability to communicate insights to senior stakeholders in a clear manner. It also requires strong attention to detail.

Dimensions of Impact / Quantitative Data

• KPIs/Outcomes Associated to the Role:

  Business Impact

  Successfully maintain and provide 100% of core reporting deliverables

  • Daily/Weekly/Monthly product metrics reporting
  • Health dashboards for transactional experiences e.g. order, payment and loyalty error rates

  Functional Metrics

  • % of daily reports meeting quality and timeliness SLA
  • 100% of key metrics documented in data glossary
  • Availability of self-serve onboarding and training guides for consuming metrics