Digital Analytics Manager

2 weeks ago

Pune, India Kohler Full time

Role & responsibilities

  • Lead Adobe Analytics and Adobe Launch implementations across multiple digital platforms (web/mobile).
  • Oversee the end-to-end tagging lifecycle from solution design, implementation, QA, to reporting and validation.
  • Collaborate with key business stakeholders to scope new analytics requests, translate them into actionable technical requirements, and lead their execution.
  • Manage a team of analysts and tagging specialists to ensure timely delivery, prioritization, and quality of digital analytics deliverables.
  • Work closely with developers, product managers, UX teams, and marketing to embed measurement strategies across all digital initiatives.
  • Develop and maintain documentation including SDRs (Solution Design References), implementation specs, and governance frameworks.
  • Monitor data accuracy, troubleshoot discrepancies, and manage change control processes.
  • Provide strategic insights and data storytelling to leadership to support business goals, product enhancements, and campaign performance.
  • Own revenue forecasting, budgeting, and resource planning for the analytics function.
  • Stay current with industry trends, Adobe product updates, and best practices in tag management and privacy compliance (GDPR, CCPA, etc.).

Preferred candidate profile

  • 1015 years of experience in digital analytics, with a strong focus on Adobe Analytics (AA) and Adobe Launch.
  • Proven track record of managing end-to-end digital measurement projects for high-traffic sites and/or enterprise-level clients.
  • Deep understanding of digital data layers, tagging strategies, and data governance.
  • Strong experience working with stakeholders across Marketing, Product, Engineering, and Legal teams.
  • Excellent project management skills with the ability to lead multiple initiatives in parallel.
  • Clear understanding of business KPIs and ability to tie digital analytics outputs to business impact.
  • Strong analytical mindset and problem-solving skills, including the ability to work with large datasets.
  • Hands-on experience with data visualization tools (Adobe Workspace, Power BI, Tableau, etc.).
  • Comfortable presenting to senior leadership and translating data into meaningful business recommendations.

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