Deskripsi Pekerjaan
Join the Data & Analytics Graduate Programme in Singapore and turn data into your superpower. At Private Advertiser, we believe that data is power—and we are looking for bright, curious graduates to help us harness it. Over the course of a 12‑month intensive programme, you will rotate through different teams, gaining hands‑on experience in data engineering, data science, and business intelligence.
Your day‑to‑day responsibilities will include extracting and transforming data from multiple sources using SQL and Python, performing exploratory data analysis to uncover trends, building and maintaining dashboards in Tableau or Power BI, and presenting clear, data‑driven recommendations to non‑technical stakeholders. You will also contribute to the design and implementation of scalable data pipelines, ensuring data quality and accessibility across the organization.
Throughout the programme, you will benefit from structured training sessions, mentorship from senior data professionals, and regular feedback loops. We encourage you to bring your own ideas, ask challenging questions, and experiment with new analytical techniques. By the end of the programme, you will have a solid portfolio of projects, a deep understanding of the analytics lifecycle, and the confidence to drive data‑informed decisions in any business environment.
Working in our modern Singapore office, you will collaborate with cross‑functional teams across finance, marketing, and operations. We offer competitive compensation, health benefits, and a supportive work‑life balance. If you are passionate about data, eager to learn, and ready to make an impact, we want to hear from you.
Tanggung Jawab
- Extract, clean, and transform data from diverse sources using SQL, Python, and ETL tools.
- Perform exploratory data analysis and statistical modelling to identify trends and patterns.
- Design, build, and maintain interactive dashboards and reports in Tableau or Power BI.
- Present findings and actionable insights to stakeholders, translating complex data into business recommendations.
- Collaborate with data engineers and business partners to ensure data quality, consistency, and accessibility.
- Participate in cross‑functional projects, contributing to data strategy and solution design.
- Continuously learn and apply new analytics techniques, tools, and best practices.
Kualifikasi
- Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related field.
- Strong analytical mindset with a passion for turning data into meaningful insights.
- Proficiency in at least one programming language (Python, R, or similar) and SQL.
- Experience with data visualization tools such as Tableau, Power BI, or similar is advantageous.
- Excellent communication and presentation skills, with the ability to explain technical concepts to non‑technical audiences.
- Ability to work collaboratively in a team environment and manage multiple priorities.
- Eagerness to learn, adaptability, and a proactive approach to problem‑solving.