Job Description

Singapore, Central Singapore, Singapore
Data Science and Analytics
Full Time Description
Company Description
Pluang is a technology driven Indonesian wealth-tech investment company. Founded in 2019, Pluang’s mission is to democratize finance for all. We believe that everyone should have access to the financial markets, so we’ve built Pluang from the ground up to make investing friendly, approachable, and understandable for newcomers and experts alike. We are trusted by leading big tech companies in Indonesia sell Pluang Investment products in their platform and applications (GoInvestasi by Gojek, Dana eMAS by Dana and BukaEmas by Bukalapak).


We are looking for a Senior Data Analyst to join Pluang’s Singapore office. As a part of the data team, you will collaborate frequently with product, design, marketing, finance and engineering teams to drive valuable insights from large-scale teams and turn those into actions that improve the experience for our users.

Responsibilities

• Work with partners to identify the key metrics their product should track and build data pipelines, frameworks and dashboards to track and improve these metrics.
• Explore our large data sets to improve our understanding of how our customers engage in Pluang
• Use analytical techniques to improve operational and reporting efficiency or guide investment decisions;
• Monitor data processes, providing the support that teams rely on to make decisions.
• Apply marketing data analytics techniques to predict outcomes, establish KPIs and optimize the overall budget that enable decisions on marketing activities.
• Experience with channel analytics tools e.g. Google, FB is a plus.
• Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis.

• BS in a Computer Science, Math, Statistics, Economics, Engineering, Physics or a related field within 4+ years of experience.
• Strong SQL skills. You will need to write custom queries to pull data to support your assumption and hypothesis.
• Experience with data visualization tools (e.g. Google Data Studio or Metabase).
• Experience with scripting and data analysis programming languages such as Python (numpy, scipy, pandas) or R programming languages.
• Solid understanding of statistical analysis.
• Strong sense of ownership and accountability, with good attention to detail.
• Good interpersonal skills and ability to work well in an international team environment.
• Ability to be agile and flexible in adapting in a dynamic environment.
• Familiarity with BigQuery and GCP is a plus.
• Interest in the investment or financial sector is a plus.
• Previously experience in marketing analytics and related, especially in a mobile app setting.
• Strong problem-solving skills with an emphasis on marketing effectiveness.
• Interest in the investment or financial sector is a plus.