Job Description
Join Private Advertiser as an Analyst & Associate Analyst and play a pivotal role in driving data‑driven insights for our financial and advertising operations. You will work closely with cross‑functional teams to gather, analyse, and interpret complex datasets, supporting strategic decision‑making and performance optimisation. This position offers a dynamic environment where your analytical expertise will directly impact business growth and client satisfaction.
Based in the vibrant Kuala Lumpur City Centre, you will benefit from a collaborative culture, continuous learning opportunities, and exposure to cutting‑edge analytical tools. You will be responsible for preparing detailed reports, presenting findings to senior stakeholders, and identifying trends that inform budgeting, forecasting, and campaign effectiveness.
Our ideal candidate possesses strong quantitative skills, proficiency with Excel, SQL, and data visualisation platforms such as Power BI or Tableau, and a keen eye for detail. You will have the chance to enhance your professional development through mentorship programs, workshops, and potential pathways to senior analytical roles.
If you are passionate about turning numbers into actionable strategies and thrive in a fast‑paced setting, we encourage you to apply and become part of a team that values innovation, integrity, and excellence.
Responsibilities
- Collect, clean, and validate data from various internal and external sources.
- Perform quantitative analysis using statistical methods to uncover insights.
- Develop and maintain dashboards and reports for management and clients.
- Assist in budgeting, forecasting, and financial modelling activities.
- Collaborate with marketing, finance, and operations teams to support campaign performance evaluation.
- Present findings and recommendations to senior stakeholders in clear, concise formats.
Qualifications
- Bachelor’s degree in Accounting, Business, Finance, Economics, or a related field.
- Minimum 1‑2 years of experience in audit, research, financial analysis, or similar role.
- Proficiency in Microsoft Excel (advanced functions, pivot tables, VLOOKUP).
- Experience with SQL for data extraction and manipulation.
- Familiarity with data visualisation tools such as Power BI, Tableau, or Qlik.
- Strong analytical thinking, problem‑solving skills, and attention to detail.