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Liven

Marketing and Data Intern

Posted Updated
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About the role

We’re looking for a Marketing and Data Intern to join our Marketing team. In this role, you’ll support marketing initiatives through data analysis, campaign reporting, research, and day-to-day execution. You’ll work with marketing and customer data to uncover insights, measure performance, and help the team make better, data-informed decisions.

This is a hands-on opportunity to gain practical experience at the intersection of marketing, data, and AI, working alongside teams across Nomni while contributing to real projects and business outcomes.


What you'll do

  • Collect, clean, organise, and analyse marketing and customer data from multiple sources.
  • Support campaign reporting and track key metrics including engagement, leads, conversions, and funnel performance.
  • Build and maintain reports and dashboards to help the team understand marketing performance.
  • Assist with audience segmentation, customer analysis, and targeting for marketing campaigns.
  • Conduct market, competitor, and customer research to identify trends and opportunities.
  • Support the execution and measurement of digital marketing campaigns across relevant channels.
  • Help maintain accurate and reliable data across marketing systems and identify gaps or inconsistencies.
  • Use AI tools to support research, analysis, content workflows, and marketing productivity.
  • Assist with testing and experimentation across campaigns, audiences, messaging, and channels.
  • Turn data and research into clear insights that can support marketing and business decisions.

Qualifications

  • Currently studying or recently completed a degree in Marketing, Business, Data Analytics, Statistics, Economics, Information Systems, or a related field.
  • Strong analytical skills and confidence working with numbers and data.
  • Working knowledge of Excel and/or Google Sheets, including formulas, filtering, and basic data analysis.
  • Strong interest in digital marketing, data analytics, customer behaviour, and AI.
  • Ability to interpret data and communicate findings clearly to both technical and non-technical stakeholders.
  • Strong attention to detail and an organised approach to working with data.
  • Good written and verbal communication skills.
  • Curious, proactive, and comfortable learning new tools and ways of working.
  • Ability to manage multiple tasks and work effectively in a collaborative, fast-paced environment.

Good to Have

  • Basic knowledge of SQL or another data-querying language.
  • Exposure to data visualisation or BI tools.
  • Familiarity with Google Analytics, CRM platforms, or marketing automation tools.
  • Exposure to digital advertising platforms such as Google Ads or Meta Ads.
  • Basic knowledge of Python or another programming language.
  • Experience using generative AI tools for research, analysis, automation, or marketing workflows.
  • An understanding of A/B testing, experimentation, or campaign performance analysis.
  • Previous internship, university project, or personal project involving marketing or data analysis.



What they ask for

Required

  • Currently studying or recently completed a degree in Marketing, Business, Data Analytics, Statistics, Economics, Information Systems, or a related field.
  • Strong analytical skills and confidence working with numbers and data.
  • Working knowledge of Excel and/or Google Sheets, including formulas, filtering, and basic data analysis.
  • Strong interest in digital marketing, data analytics, customer behaviour, and AI.
  • Ability to interpret data and communicate findings clearly to both technical and non-technical stakeholders.
  • Strong attention to detail and an organised approach to working with data.
  • Good written and verbal communication skills.
  • Curious, proactive, and comfortable learning new tools and ways of working.
  • Ability to manage multiple tasks and work effectively in a collaborative, fast-paced environment.

Preferred

  • Basic knowledge of SQL or another data-querying language.
  • Exposure to data visualisation or BI tools.
  • Familiarity with Google Analytics, CRM platforms, or marketing automation tools.
  • Exposure to digital advertising platforms such as Google Ads or Meta Ads.
  • Basic knowledge of Python or another programming language.
  • Experience using generative AI tools for research, analysis, automation, or marketing workflows.
  • An understanding of A/B testing, experimentation, or campaign performance analysis.
  • Previous internship, university project, or personal project involving marketing or data analysis.

Skills

See also

Marketing jobs by country — openings, pay and top skills →

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