Powered by pgvector · cosine kNN
No similar jobs yet — embeddings have not been generated for this listing. Run npm run seed:embeddings with AI Gateway access (AI_GATEWAY_API_KEY) configured.
NUS Asset and Wealth Management Club
Role Description The Data Analyst (Entry / Junior) role is a part-time position supporting the club’s initiatives through data-driven insights. This hybrid role is based in Sydney, NSW, with some work-from-home flexib…
Your match
See how you fit
Scored against this job in seconds
Your account
Sign in to apply
Your profile and your match for this job appear right here.
sign in above to apply · via LinkedIn
About the role
Role Description The Data Analyst (Entry / Junior) role is a part-time position supporting the club’s initiatives through data-driven insights. This hybrid role is based in Sydney, NSW, with some work-from-home flexibility for tasks that can be done remotely. Day-to-day responsibilities include collecting and organizing membership, event, and engagement data, performing basic data analytics and statistical analysis, and building simple data models to understand trends and outcomes. The role also involves preparing clear reports and visual summaries for the committee, supporting decision-making for events and partnerships, and communicating findings in a concise, understandable manner. The Data Analyst will collaborate with other members to improve club operations and evaluate the impact of club activities.QualificationsStrong foundational Analytical Skills and Data Analytics abilitiesBasic understanding of Statistics and statistical reasoningAbility to perform simple Data Modeling for insights and trend analysisEffective Communication skills for presenting findings to non-technical stakeholdersFamiliarity with spreadsheets and/or analytics tools (e.g., Excel, Google Sheets, basic BI tools) is beneficialInterest in asset and wealth management and willingness to learn about the finance industryCurrently studying or recently completed a degree in Business, Finance, Economics, Data Science, or a related field is an advantageAbility to work collaboratively in a student-led environment and manage part-time responsibilities alongside academic or other commitments
sign in above to apply · via LinkedIn
Your job hunt, handled
Ask about any role and get a straight answer on your fit. Then stop searching: new matches land in your WhatsApp the moment they’re listed.
Free for jobseekers