Marketing Analytics Intern

Transmission; Delhi; Hybrid; INR 167,000 - 279,000; Part time

Benefits offered by this job

Hybrid work arrangement

Internship certificate

Competitive stipend

Mentorship from experienced team

Job summary

Transmission in Delhi is seeking a Marketing Analytics Intern with 0–6 months of experience to apply statistical concepts to real-world marketing problems and help answer important business questions. You will work with the Analytics team on datasets from multiple platforms, assist with dashboards and reports, and gain exposure to Snowflake and AWS in a modern data environment.

The role offers a hybrid working model, with 2 days in the office and the rest remote, plus mentorship from experienced

Qualifications

• 0–6 months of relevant experience; fresh graduates with relevant academic/project experience encouraged to apply.
• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Econometrics, Data Science, Computer Science, Engineering, or a related quantitative field.
• Strong foundation in statistics and probability.
• Basic working knowledge of Python and/or SQL.
• Strong analytical and problem-solving skills.
• Interest in incrementality, experimentation, causal measurement, and marketing analytics.
• Ability to work with data and communicate analytical findings clearly.
• Strong willingness to learn new analytical methodologies and technologies.

Responsibilities

• Analyse marketing performance across campaigns, channels, audiences, regions, and funnel stages.
• Support incrementality analysis and experimentation to understand the true impact of marketing activities.
• Apply statistical concepts such as hypothesis testing, confidence intervals, regression, correlation, and statistical significance.
• Use Python and/or SQL for data preparation, exploratory analysis, statistical modelling, and automation.
• Analyse large datasets to identify trends, anomalies, relationships, and actionable insights.
• Explore Claude Code and other AI-assisted coding tools to improve analytical and development workflows.
• Support data validation and quality checks across multiple marketing and analytics data sources.
• Assist with dashboards, analytical reports, and presentations for internal and client stakeholders.
• Gain hands-on exposure to modern data environments, including Snowflake and AWS.

Skills

Statistics basics

Probability

Python

SQL

Analytical thinking

Communication

Learning agility

Data analysis

Problem solving

Education

Bachelor's or Master's degree in Statistics/Data Science/Econometrics/Math/ Economics/ CS

Tools

Claude Code

Snowflake

AWS

Python libraries

BI tools (Tableau/Power BI/Looker)

Job description

We’re the world’s largest independent global B2B marketing agency, where curious minds create the future. If you’re someone who’s thought-provoking, ego-quashing, mistake-learning, all-including, convention-breaking, and always-growing with a passion for what you do, you’ll fit right in.

We’re one agency spread across eight global offices, and we let our work do the talking. Our recent accolades include Global B2B Agency of the Year at the B2B Marketing Awards, Agency of the Year at the Elevation Awards, and multiple wins at The Drum Awards, ANA B2 Awards, and Marketing Excellence Awards, Singapore.

Role overview

We are looking for a Marketing Analytics Intern with 0–6 Months of experience and a strong foundation in statistics, data analysis, and analytical problem-solving. This role is ideal for a recent graduate or early-career candidate interested in applying statistical concepts to real-world marketing problems, particularly in areas such as incrementality measurement, experimentation, marketing effectiveness, forecasting, and causal analysis. The candidate will work with the Analytics team on marketing datasets from multiple platforms and help answer important business questions.

Key responsibilities

• Analyse marketing performance across campaigns, channels, audiences, regions, and funnel stages.
• Support incrementality analysis and experimentation to understand the true impact of marketing activities.
• Apply statistical concepts such as hypothesis testing, confidence intervals, regression, correlation, and statistical significance.
• Use Python and/or SQL for data preparation, exploratory analysis, statistical modelling, and automation.
• Analyse large datasets to identify trends, anomalies, relationships, and actionable insights.
• Explore Claude Code and other AI-assisted coding tools to improve analytical and development workflows.
• Support data validation and quality checks across multiple marketing and analytics data sources.
• Assist with dashboards, analytical reports, and presentations for internal and client stakeholders.
• Gain hands-on exposure to modern data environments, including Snowflake and AWS.

Skills & experience

• 0–6months of relevant experience; fresh graduates with relevant academic/project experience are encouraged to apply.
• Bachelor's or Master’s degree in Statistics, Mathematics, Economics, Econometrics, Data Science, Computer Science, Engineering, or a related quantitative field.
• Strong foundation in statistics and probability.
• Basic understanding of concepts such as regression, hypothesis testing, confidence intervals, and statistical significance.
• Basic working knowledge of Python and/or SQL.
• Strong analytical and problem-solving skills.
• Interest in incrementality, experimentation, causal measurement, and marketing analytics.
• Ability to work with data and communicate analytical findings clearly.
• Strong willingness to learn new analytical methodologies and technologies.

Nice to have

• Incrementality testing and causal inference
• Regression and predictive modelling
• Time-series analysis and forecasting
• Claude Code or similar AI-assisted coding tools
• Snowflake, AWS or other cloud platforms
• Python statistical/data libraries
• Digital marketing platforms such as Google Ads, LinkedIn, Meta, or programmatic media
• Tableau, Power BI, Looker, or similar BI tools
• Competitive monthly stipend
• Hybrid working: 2 days a week in office, the rest remote
• A young, energetic team in a well-known co-working space
• Hands-on exposure to real B2B marketing work for global clients
• Mentorship from experienced team members
• Internship certificate on successful completion