Golden Gate Ventures

Careers

Data Analytics at Funding Societies
Jakarta, ID

As a Data Analyst, your role is to understand the needs of the business and use data to derive a solution that you will then present, implement, and track. In addition to having a knack for problem-solving, it is absolutely crucial that you are willing to learn, understand, and hear the needs of our people. Working within a small team, you will be working on various data products for Funding Societies.

 

We solve challenging problems. As long as you are adding value to the business, you are your own boss. You’ll get loads of support from your friendly, talented and motivated colleagues with no micromanagement. While the way we work may not suit everyone, individuals thrive in our environment if they are humble, love autonomy and enjoy life changing professional challenges.

 

Responsibilities and Duties

 

  • Collecting, processing, visualising and analysing data

  • Developing and implementing actionable and accurate insights and present to the various business teams

  • Testing, measuring, acting on projects that drive the business

  • Coding up live dashboards for real time visibility of business

  • Finding innovative and creative ways to obtain new data

  • Developing models for predictive studies

  • Report directly to the Head of Data Analytics

 

 

Qualifications / Requirements

  • 3-5 years of working experience in Data Analytics or other relevant fields

  • Strong enthusiasm for new experiences and to learn new skills.

  • Someone who loves working with numbers and problem-solving

  • Enjoy uncovering the story and explanations behind the data

  • An ability and eagerness to constantly learn and teach others

  • Strong logical reasoning and analytical mind

  • great attention to details

  • Independent learner who enjoys technical challenges

  • Good communication skills in order to turn your results into actionable insights that business teams use

Knowledge/Skills/Abilities/Behaviours

 

  • Financial Services domain exposure with lending product exposure in particular

  • Strong SQL skills is a must

  • Exposure to market leading BI tools such as Tableau, MicroStrategy, Periscope/Sisense

  • Experience delivering reusable business semantic models