Data Analytics Intern

Date PostedOctober 30, 2026LocationSelangorCompanyGravitas DigitalSalaryRM 800TypeInternship

Job Summary

Gravitas Digital is looking for a curious and detail-oriented Data Analytics Intern to turn campaign, website, and social platform data into clear insights. You will work closely with account management and performance marketing teams using real client data, dashboards, and AI tools from day one. This hands-on internship requires a 3 to 6-month commitment starting in January 2027 onwards.

Responsibilities

  • Collect, clean, and organize data from various analytics and ad platforms
  • Build and maintain reports, dashboards, and track campaign performance
  • Utilize AI tools for data analysis while ensuring output accuracy
  • Assist in setting up, monitoring, and optimizing paid advertising campaigns

Required Skills

  • Proficiency in Excel or Google Sheets
  • Currently pursuing or holding a relevant Diploma/Degree
  • Strong attention to detail and logical problem-solving
  • Commitment of 3-6 months starting January 2027

Job Details

About the Role We’re looking for a curious and detail-oriented Data Analytics Intern to join our team. You’ll work closely with the account management teams to turn data from campaigns, websites and social platforms into clear insights that help our clients make better decisions. This is a hands-on role where you’ll work with real client data from day one. You’ll help build reports and dashboards, track performance, spot trends, and use AI tools to speed up your analysis while making sure every number is accurate. If you enjoy working with numbers, asking “why”, and explaining what the data means in plain language, you’ll fit right in. Key Responsibilities Data & Reporting - Collect, clean and organise data from sources such as Google Analytics, social media platforms, ad platforms and CRM exports. - Build and maintain dashboards and reports using tools such as Looker Studio, Power BI, Excel or Google Sheets. - Track campaign and website performance, and flag trends, anomalies and opportunities to the team. - Help document data sources, metric definitions and reporting processes. - Support the team in improving data quality and automating repetitive reporting. Insights & AI-Assisted Analysis - Run ad-hoc analyses to answer client and internal business questions. - Use AI tools (e.g. ChatGPT, Claude, Gemini) to speed up analysis, explore data and summarise findings. - Check AI-generated output for accuracy before it is shared with the team or clients. - Turn findings into clear summaries, slides and recommendations for clients and internal teams. - Conduct research on clients, industries, competitors and audiences to add context to the data. Paid Media & Campaign Optimisation - Assist in setting up, launching and managing paid advertising campaigns across platforms such as Meta Ads, Google Ads and TikTok Ads. - Monitor campaign performance, including budget utilisation, CTR, CPC, CPA and ROAS. - Support campaign optimisation through audience targeting, creative testing and performance analysis. - Work with the performance marketing team to translate campaign insights into actionable improvements. Requirements What We're Looking For - Currently pursuing or graduated from a Diploma or Degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, Economics, Marketing, or a related field. - Comfortable with Excel or Google Sheets (formulas, pivot tables, basic charts). - Strong attention to detail and a logical approach to solving problems. - Curious and willing to ask questions and learn. - Able to explain numbers and findings in plain language, both written and verbal. - Able to manage multiple tasks and priorities with guidance. - A team player who can work well with different personalities and working styles. - Able to commit for 3-6 months. - Able to start in January 2027 onwards (not immediately). Good to Have - Experience with BI tools such as Looker Studio, Power BI, or Tableau. - Hands-on experience using AI tools for data work and awareness of limits (accuracy, data privacy). - Familiarity with Google Analytics 4 or digital marketing metrics (CTR, CPC, ROAS, conversion rate). - University projects, freelance work, or a portfolio involving data analysis.