Lead Analyst – Digital & Marketing Analytics

Trantor; Dadri; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

Trantor is seeking a Lead Analyst to own the digital and marketing analytics function across the organization. The role spans multiple data sources including web analytics, ad platforms, CRM, surveys, and other MarTech tools.

You'll extract, integrate, and analyze data to deliver actionable insights that improve campaign performance and ROI, working with product, marketing, and data engineering teams to translate data into business recommendations.

Qualifications

• 3+ years of hands-on experience in digital marketing analytics or a hybrid marketing and data analytics role.
• Proficiency with web analytics platforms, specifically GA4. Adobe Analytics experience is a strong plus.
• Strong SQL skills with experience querying BigQuery or similar cloud databases.
• Ability to write optimized queries and handle mid-to-large datasets.
• Demonstrated experience cleaning, merging, and normalizing data from multiple sources (CRM, ad platforms, surveys, web analytics).
• Experience building dashboards and visual reports in Looker Studio, Tableau, or Power BI.
• Solid understanding of digital marketing performance metrics: CTR, CPA, CPC, ROI, LTV, ROAS, conversion rate.
• Understanding of fundamental statistical concepts: hypothesis testing, confidence intervals, regression basics, and A/B test design and validation.
• Ability to present complex data insights in a clear, concise, and non-technical format to cross-functional stakeholders.
• Strong critical thinking and problem-solving skills — ability to spot trends, flag anomalies, and derive strategic recommendations from data.

Responsibilities

• Own and drive the digital and marketing analytics function across the organization.
• Extract, integrate, and analyze data from multiple sources to deliver actionable insights.
• Build and maintain dashboards and reports for ongoing performance visibility.
• Analyze campaign effectiveness across paid media, SEO, email, and other channels using key metrics.
• Run and validate A/B tests and apply statistical methods for decision-making.
• Perform cross-channel attribution to understand touchpoint contributions to conversions.

Skills

GA4

Adobe Analytics

SQL

BigQuery

Looker Studio

Tableau

Power BI

Attribution modeling

A/B testing

Data storytelling

Tools

GA4

Adobe Analytics

BigQuery

Looker Studio

Tableau

Power BI

Job description

Role Overview

We are looking for a Lead Analyst to own and drive the digital and marketing analytics function across the organization. This is not a purely web analytics or a general data analyst role. The scope spans multiple digital platforms, marketing channels, and data sources — including web analytics (GA4 or equivalent), ad platforms, CRM systems, survey data, and other MarTech and AdTech tools.

The person in this role will be responsible for extracting, integrating, and analyzing data from these sources to deliver actionable insights that improve campaign performance, customer acquisition, and overall marketing ROI. They will work closely with product, marketing, and data engineering teams to translate complex data into clear business recommendations.

What This Role Covers

Working across GA4, Adobe Analytics, or equivalent web analytics platforms to track and analyze user behavior, site performance, and conversion funnels.

Querying and processing large-scale datasets using SQL and BigQuery (or similar cloud data warehouses), integrating data from multiple marketing and business sources.

Cleaning, merging, and normalizing data from disparate platforms such as CRM systems, paid ad platforms (Google Ads, Meta Ads, etc.), email marketing tools, and survey platforms.

Building and maintaining dashboards and reports in Looker Studio, Tableau, Power BI, or equivalent visualization tools to provide ongoing performance visibility to stakeholders.

Analyzing campaign effectiveness across paid media, SEO, email, and other marketing channels using KPIs such as CTR, CPA, ROI, LTV, and conversion rates.

Running and validating A/B tests, applying basic statistical methods (hypothesis testing, regression) to ensure data-driven decision-making.

Performing cross-channel attribution analysis to understand how different marketing touchpoints contribute to conversions and revenue.

Translating data findings into non-technical, actionable insights for marketing, product, and leadership stakeholders.

Identifying trends, anomalies, and opportunities in data to drive strategic recommendations for campaign optimization and budget allocation.

Staying current with evolving MarTech and AdTech tools, data methodologies, and analytics best practices.

Must-Have Skills

3+ years of hands-on experience in digital marketing analytics or a hybrid marketing and data analytics role.

Proficiency with web analytics platforms, specifically GA4 (Google Analytics 4). Adobe Analytics experience is a strong plus.

Strong SQL skills with experience querying BigQuery or similar cloud databases. Ability to write optimized queries and handle mid-to-large datasets.

Demonstrated experience cleaning, merging, and normalizing data from multiple sources (CRM, ad platforms, surveys, web analytics).

Experience building dashboards and visual reports in Looker Studio, Tableau, or Power BI.

Solid understanding of digital marketing performance metrics: CTR, CPA, CPC, ROI, LTV, ROAS, conversion rate, and how these connect to business objectives.

Understanding of fundamental statistical concepts: hypothesis testing, confidence intervals, regression basics, and A/B test design and validation.

Ability to present complex data insights in a clear, concise, and non-technical format to cross-functional stakeholders.

Strong critical thinking and problem-solving skills — ability to spot trends, flag anomalies, and derive strategic recommendations from data.

Good to Have

Experience with cross-channel attribution modeling and multi-touch attribution frameworks.

Familiarity with Python or R for data analysis, automation, or advanced statistical modeling.

Hands-on experience with tag management systems (Google Tag Manager, Tealium) and event tracking implementation.

Exposure to data pipeline or ETL workflows and understanding of how marketing data flows from source to warehouse.

Experience working in an agency or client-side environment managing analytics for multiple brands or campaigns simultaneously.

Familiarity with CDPs (Customer Data Platforms), DMPs, or marketing automation platforms.

Experience with SEO analytics tools (SEMrush, Ahrefs, Google Search Console) in conjunction with broader marketing performance analysis.

Red Flags

Pure web analyst profile with no experience outside of website data — this role requires working across multiple marketing data sources, not just site analytics.

No SQL experience or only surface-level familiarity. The role requires writing and optimizing queries on BigQuery-scale datasets, not just running pre-built reports.

Candidate who can build dashboards but cannot explain the business story behind the data. Visualization without insight is not enough.

General data analyst with no exposure to digital marketing platforms, campaign data, or marketing KPIs. Understanding the marketing funnel and channel-level performance is essential.

Purely technical profile with no stakeholder communication experience. This role requires translating data into business language for non-technical teams.

Candidate with a task-execution mindset who waits for instructions rather than proactively identifying trends, anomalies, and optimization opportunities.

No familiarity with A/B testing or basic statistical validation. We need someone who can design tests and validate findings, not just pull numbers.