Manager - Digital Analytics, Insights & Optimization

Trantor

Chandigarh

On-site

INR 2,500,000 - 5,000,000

Full time

2 days ago
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Job summary

Trantor is seeking a Manager - Digital Analytics, Insights & Optimization to lead a high‑performing team focused on analytics, experimentation, and personalization. You will own the strategy and delivery of analytics reporting, insights, and GenAI‑powered analytics solutions that translate data into measurable business outcomes.

The role serves as the primary liaison between business stakeholders, marketing, product, and technology, ensuring data‑driven initiatives are prioritized and aligned

Qualifications

  • 10+ years of experience in digital analytics, optimisation, consulting, or delivery management.

Responsibilities

  • Own end-to-end delivery of analytics, reporting, optimization, and personalization initiatives.
  • Develop and manage roadmaps, sprint plans, and stakeholder commitments.
  • Ensure timely analytics implementation, dashboard delivery, experimentation programs, and optimization initiatives.
  • Monitor delivery KPIs and resolve risks, dependencies, and bottlenecks.
  • Establish delivery governance, quality standards, and operational processes.
  • Oversee creation and maintenance of reporting across GA4, Power BI, BigQuery, and Claude AI tools.
  • Drive adoption of self‑service reporting and executive dashboards.
  • Partner with stakeholders to define measurement strategies and KPI frameworks.

Skills

Delivery leadership
Analytics & insights management
Data & technology leadership
Stakeholder management
Team leadership
Executive communication

Education

Bachelor's degree in Computer Science or IT
Analytics-related masters or degree a plus

Tools

GA4
Power BI
BigQuery
Claude GenAI / Claude AI
Contentsquare

Job description

Manager - Digital Analytics, Insights & Optimization
Role Purpose (One-Line Summary)

Lead the 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 someone who can lead a specialized team of professionals focused on digital analytics, business intelligence, experimentation, and website optimization. The role will be accountable for the successful strategy, execution & delivery of analytics reporting, actionable insights, conversion rate optimization (CRO), personalization initiatives, and AI-powered analytics solutions that help drive measurable business outcomes.

The person will serve as the primary liaison between business stakeholders, marketing teams, product owners, and technical resources, ensuring that data-driven initiatives are prioritized, delivered on time, and aligned with organizational goals.

Key Responsibilities:
Delivery Leadership

Own end-to-end delivery of analytics, reporting, optimization, and personalization initiatives.

Develop and manage roadmaps, sprint plans, and stakeholder commitments.

Ensure timely execution of analytics implementation, dashboard delivery, experimentation programs, and optimization initiatives.

Monitor delivery KPIs and proactively resolve risks, dependencies, and bottlenecks.

Establish delivery governance, quality standards, and operational processes.

2. Analytics & Insights Management

Oversee development and maintenance of reporting solutions across:

  • GA4
  • Power BI
  • BigQuery
  • AI-powered analytics platforms (Claude, LLM-based insights solutions)

Ensure reporting frameworks provide actionable business insights rather than data-only outputs.

Drive adoption of self-service reporting and executive dashboards.

Partner with stakeholders to define measurement strategies and KPI frameworks.

3. Data & Technology Leadership

Ensure effective integration and utilization of:

  • Google Analytics 4
  • BigQuery
  • Power BI
  • Claude AI / GenAI-assisted analytics tools
  • Contentsquare

Guide best practices for tracking, tagging, data quality, and governance.

Support AI-driven analytics and insight generation initiatives.

Lead the optimisation and experimentation roadmap.

Oversee A/B testing, multivariate testing, and personalization initiatives.

Ensure accurate measurement of optimisation outcomes and business impact.

Drive a culture of data-driven decision making through experimentation.

5. Stakeholder Management

Act as the primary point of contact for business, marketing, digital product, and leadership stakeholders.

Serve as trusted advisor to clients and business leaders.

Present solution recommendations to executive stakeholders.

Translate business objectives into measurable analytics and optimisation programmes.

Present insights, performance trends, and recommendations to senior stakeholders.

Manage stakeholder expectations and delivery priorities.

Team Leadership: Provide technical leadership to specialist resources responsible
  • GA4
  • Power BI
  • AI-powered analytics and reporting
B. Analytics Engineering Lead
  • GA4 implementation
  • BigQuery
  • Power BI
  • Claude Code and analytics automation
C. Optimization & Personalisation Lead
  • CRO programs
  • Contentsquare
  • Experiment reporting and recommendations
Additional responsibilities:
  • Conduct performance reviews and career coaching.
  • Establish clear objectives and development plans.
  • Foster collaboration and knowledge sharing across the team.
Required Skills & Experience
Experience

10+ years of experience 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.

Technical Expertise

Strong understanding of:

  • Google Analytics 4 (GA4)
  • Power BI
  • BigQuery
  • Contentsquare
  • Conversion Rate Optimisation (CRO)
  • Digital Measurement Frameworks
  • GenAI and LLM-powered analytics applications
Leadership Skills
  • Delivery governance
  • Program and project management
  • People leadership
  • Executive communication
  • Prioritisation and planning
Preferred Qualifications

Bachelor's degree In computer science or Information technology. Master's or Analytics degree a plus

Experience managing digital transformation or customer experience analytics programmes.

Preferred Certifications in: Google Analytics, Adobe Analytics, Power BI, Agile/Scrum, Optimizely

Experience leveraging AI and automation for analytics and reporting workflows.

What success Looks Like:

Business problems are solved through integrated, scalable solutions rather than point implementations.

Analytics, data, experimentation, and personalisation work as a connected ecosystem.

Teams are empowered with clear technical direction and architectural standards.

New AI capabilities are effectively leveraged to accelerate insights and automation.

Stakeholders view the role as a trusted advisor for all analytics and optimisation initiatives.

Analytics, optimisations, and reporting capabilities are augmented through AI-powered automation and Claude MCP integrations, resulting in faster delivery, reduced operational effort, and increased business impact.

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