Job Title

• Title: Junior Marketing Data & Automations Engineer
• Department: Marketing, Academic (Marketing Operations – Marketing Data, Analytics & Insight)
• Location: Sector - 62, Noida , India

About the Role

Introduction – the ‘why’

This role is a great opportunity to join OUP’s Academic Marketing function at a time when marketing efficiency, automation, and data‑driven decision making are increasingly central to organisational success. As a Junior Marketing Data & Automations Engineer, you will directly contribute to OUP’s mission by enabling scalable, efficient, and consistent marketing operations, helping teams make smarter decisions through better data, insights, and automated workflows.

You’ll work with modern tools such as Python, SQL, Tableau, Zapier, and MarTech platforms—gaining hands‑on experience in automation, data engineering fundamentals, analytics, and reporting. The role sits within a supportive, collaborative Marketing Operations environment where experimentation, learning, and continuous improvement are encouraged. It’s ideal for someone early in their data, analytics, or marketing operations career who is excited by technology, problem‑solving, and making measurable impact across global marketing teams.

Opportunity – the ‘what’

In this role, you will support Academic Marketing by contributing to the delivery of automations, data integrations, data quality management, analytics, and reporting. Your day‑to‑day responsibilities will include:

• Automations: Build basic automations using tools such as Python and Zapier; assist with more complex automations to drive efficiency, scalability, and consistency.
• Data Integration Support: Configure, transform, and integrate data from MarTech platforms to create reliable data pipelines for reporting and analysis.
• Data Source Management: Help maintain clean, organised, and high‑quality marketing datasets; troubleshoot data challenges and ensure pipelines remain stable.
• Analytics: Conduct performance analyses, uncover trends, and generate actionable insights to support data‑driven marketing decisions.
• Reporting: Create and maintain effective dashboards and reports to meet stakeholder needs; understand the business context behind reporting requirements.
• Collaboration: Work effectively with teammates, stakeholders, and cross‑functional data teams to define and deliver solutions.
• Communication: Clearly convey technical concepts and analytical insights to audiences with varying levels of data literacy.
• Project Management: Manage assigned projects and tasks, ensuring timely delivery and alignment with agreed specifications.

Your work will strengthen OUP’s data foundations, increase marketing efficiency through automation, and enhance the quality and impact of marketing decisions across the Academic Division.

About You

Essential Criteria

• High data literacy and experience working with data and/or automations in a corporate environment.
• Proficiency in Python.
• Experience cleansing, preparing, and analysing data.
• Experience building reporting using data visualisation tools (e.g., Tableau).
• Strong organisational and problem‑solving skills, including troubleshooting data issues.
• Excellent analytical skills with the ability to translate data into actionable recommendations.
• Strong project management and collaboration skills.
• Strong communication and presentation skills, with ability to explain technical concepts to non‑technical audiences.

Desirable Criteria

• Proficiency in SQL, R, and/or Excel.
• Experience with BI tools such as Alteryx.
• Understanding of machine learning concepts and ability to apply ML techniques.
• Experience with automation tools such as Zapier.
• Good understanding of marketing goals, customer behaviour, and journeys.
• Experience with MarTech tools (e.g., Adestra, ClickUp, GA4), CRMs, or databases.
• Familiarity with customer data governance and GDPR.

Queries

Please contact aarti.rana@oup.com with any queries relating to this role.

Salary

Dependent on skills and experience.