Senior Digital Analyst

Trantor; India; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Trantor is seeking a Lead Analyst in Digital & Marketing Analytics to enhance analytics across various platforms. This position demands expertise in web analytics tools like GA4 and strong SQL capabilities, with a focus on delivering actionable insights through data integration and visualization.

The ideal candidate will have over 4 years of experience and be adept at driving campaign performance analytics, collaborating with multiple teams to make data-driven business recommendations.

Qualifications

• 4+ years of hands-on experience in digital marketing analytics.
• Proficiency with GA4 and experience with Adobe Analytics.
• Strong SQL skills with experience in querying BigQuery or similar.

Responsibilities

• Analyze user behavior and site performance using web analytics.
• Process large datasets with SQL and BigQuery.
• Build and maintain reports in visualization tools.

Skills

Digital marketing analytics

SQL

GA4

Data visualization tools

Data cleaning and integration

Tools

Looker Studio

Tableau

Power BI

Job description

Overview

Lead Analyst – Digital & Marketing Analytics role focusing on the digital and marketing analytics function across the organization. This 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/AdTech tools. The role involves extracting, integrating, and analyzing data to deliver actionable insights that improve campaign performance, customer acquisition, and overall marketing ROI. Collaboration with product, marketing, and data engineering teams is expected to translate complex data into clear business recommendations.

Responsibilities

• Work across GA4, Adobe Analytics, or equivalent web analytics platforms to track and analyze user behavior, site performance, and the conversion funnel.
• Query and process large-scale datasets using SQL and BigQuery (or similar cloud data warehouses), integrating data from multiple marketing and business sources.
• Clean, merge, and normalize data from disparate platforms such as CRM systems, paid ad platforms (Google Ads, Meta Ads, etc.), email marketing tools, and survey platforms.
• Build and maintain dashboards and reports in Looker Studio, Tableau, Power BI, or equivalent visualization tools to provide ongoing performance visibility to stakeholders.
• Analyze campaign effectiveness across paid media, SEO, email, and other marketing channels using KPIs such as CTR, CPA, ROI, LTV, and conversion rate.
• Run and validate A/B tests, applying basic statistical methods (e.g., hypothesis testing, regression) to ensure data-driven decision-making.
• Perform cross-channel attribution analysis to understand how different marketing touchpoints contribute to conversions and revenue.
• Translate data findings into non-technical, actionable insights for marketing, product, and leadership stakeholders.
• Identify trends, anomalies, and opportunities in data to drive strategic recommendations for campaign optimization and budget allocation.
• Stay current with evolving MarTech and AdTech tools, data methodologies, and analytics best practices.

Qualifications

• Must-Have Skills
• 4+ years of hands-on experience in digital marketing analytics or a hybrid marketing and data analytics role.
• Proficiency with web analytics platforms, specifically GA4. Experience with Adobe Analytics 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 pipelines or ETL workflows and understanding of how marketing data flows from source to data warehouse.
• Experience working in an agency or client-side environment managing analytics for multiple brands or campaigns concurrently.
• 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.