Manager – Digital Analytics, Insights & Optimization

Trantor; Dadri; Remote; INR 3,500,000 - 7,000,000; Full time

Job summary

Trantor is hiring a Manager – Digital Analytics, Insights & Optimization to lead a high-performing team focused on digital analytics, BI, experimentation, and website optimization. The role requires defining strategy, driving analytics reporting, CRO, personalization initiatives, and AI-powered analytics that deliver measurable business impact.

The candidate will liaise with business stakeholders, marketing, product, and technical teams to prioritise data-driven initiatives that align with

Qualifications

• 10+ years in digital analytics, optimisation, consulting, or delivery management.
• 5+ years leading analytics, experimentation, or digital marketing technology teams.
• Proven experience managing stakeholder-facing analytics and optimisation programmes.
• Demonstrated ability to lead cross-functional teams and deliver business-critical initiatives.

Responsibilities

• Lead end-to-end analytics, reporting, and personalization initiatives.
• Define strategy and drive delivery of dashboards and CRO.
• Guide A/B tests and personalization roadmaps.
• Collaborate with stakeholders and senior leaders to translate business objectives into measurable analytics programs.

Skills

Power BI

BigQuery

Optimizely

Contentsquare

Claude AI

LLM analytics

KPI development

Stakeholder management

Executive dashboards

AI-powered reporting

Education

Bachelor's degree in CS/IT

Master's degree in Analytics

Tools

Claude AI

GenAI tools

A/B testing platforms

Google Analytics

Job description

Role - Manager – Digital Analytics, Insights & Optimization

Experience: 10-18 Years

Shift: 3 PM Onwards

Position: Remote

Tech Stack: Mentioned in IAS Sheet (GA4, Adobe Analytics, Power BI, Big Query, CRO, Claude AI)

Job Description (Manager – Digital Analytics, Insights & Optimization)

Role Purpose

Lead digital analytics, AI-powered insights, experimentation, and personalization programs by managing a high-performing team that transforms customer data into measurable business outcomes.

Role Overview

We are seeking an experienced leader to manage a specialised team focused on digital analytics, business intelligence, experimentation, and website optimization.

The role is responsible for defining strategy and driving the execution and delivery of analytics reporting, actionable insights, conversion rate optimisation (CRO), personalization initiatives, and AI-powered analytics solutions that deliver measurable business impact.

The individual will serve as the primary liaison between business stakeholders, marketing teams, digital product owners, and technical resources, ensuring that data-driven initiatives are prioritised, delivered on time, and aligned with organisational objectives.

Key Responsibilities

Delivery Leadership

• Own the end-to-end delivery of analytics, reporting, optimisation, and personalization initiatives.
• Develop and manage roadmaps, sprint plans, delivery milestones, and stakeholder commitments.
• Ensure timely execution of analytics implementations, dashboard development, experimentation programmes, and optimisation initiatives.
• Monitor delivery KPIs and proactively manage risks, dependencies, and bottlenecks.
• Establish delivery governance, quality standards, and operational processes.

Analytics & Insights Management

• Oversee the development and maintenance of reporting solutions using:
  • AI-powered analytics platforms, including Claude and LLM-based insight solutions
• Ensure reporting frameworks deliver actionable business insights rather than data-only outputs.
• Drive the adoption of self-service reporting and executive dashboards.
• Partner with stakeholders to define measurement strategies, business KPIs, and performance frameworks.
• Translate analytics findings into actionable recommendations that support business decisions.

Data & Technology Leadership

• Guide the effective integration and utilisation of the following technologies:
  • Claude AI, Claude Code, and GenAI-assisted analytics tools
• Establish best practices for tracking, tagging, data quality, and analytics governance.
• Support AI-driven analytics, automated reporting, and insight-generation initiatives.
• Promote scalable, reliable, and maintainable analytics solutions.
• Define and lead the experimentation, conversion optimisation, and personalization roadmap.
• Oversee A/B testing, multivariate testing, and website personalization initiatives.
• Ensure accurate measurement and evaluation of experimentation outcomes and business impact.
• Drive a culture of data-driven decision-making through structured experimentation.
• Identify opportunities to improve customer journeys, engagement, and conversion rates.

Stakeholder & Client Management

• Act as the primary point of contact for business, marketing, digital product, and leadership stakeholders.
• Serve as a trusted advisor to clients and business leaders on analytics and optimisation strategies.
• Translate business objectives into measurable analytics, experimentation, and optimisation programmes.
• Present insights, performance trends, solution recommendations, and business outcomes to senior stakeholders.
• Manage stakeholder expectations, delivery priorities, and cross-functional alignment.
• Provide technical and people leadership to specialist resources across three functional areas (Analytics Reporting Lead, Analytics Engineering Lead & Optimisation & Personalisation Lead)

Required Skills & Experience

Professional Experience

• 10+ years of experience in digital analytics, optimisation, consulting, or delivery management.
• 5+ years of experience leading analytics, experimentation, or digital marketing technology teams.
• Proven experience managing stakeholder-facing analytics and optimisation programmes.
• Demonstrated ability to lead cross-functional teams and deliver business-critical initiatives.

Technical Expertise

• Strong working knowledge of:
  • Power BI and executive dash boarding
  • BigQuery and analytics data management
  • Optimizely and experimentation platforms
  • Contentsquare and digital experience analytics
  • Digital measurement frameworks and KPI development
  • Generative AI and LLM-powered analytics applications
  • Analytics automation and AI-assisted reporting workflows
  • Delivery governance and quality management
  • Program and project management
  • People leadership and team development
  • Stakeholder and client relationship management
  • Executive communication and presentation
  • Risk and dependency management
  • Prioritisation, planning, and resource allocation
  • Strategic thinking and business problem-solving

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related discipline.
• Master's degree or a specialised qualification in Analytics is an advantage.
• Experience managing digital transformation or customer experience analytics programmes.
• Relevant certifications in Google Analytics, Adobe Analytics, Power BI, Agile/Scrum, or Optimizely.
• Experience leveraging AI and automation to improve analytics and reporting workflows.
• Experience delivering consulting services or managing client-facing engagements.

What Success Looks Like:

• Business problems are addressed through integrated, scalable solutions rather than isolated implementations.
• Analytics, data engineering, experimentation, and personalisation operate as a connected ecosystem.
• Teams have clear technical direction, architectural standards, and delivery governance.
• AI capabilities are effectively leveraged to accelerate insights, reporting, and automation.
• Stakeholders recognise the role as a trusted advisor for analytics and optimisation initiatives.
• Analytics, optimisation, and reporting capabilities are enhanced through AI-powered automation and Claude MCP integrations, resulting in faster delivery, reduced operational effort, and increased business impact.