Fundnel

Data Analyst Internship

Singapore
Technology (Singapore)
Full Time Intern

Some things to know before you apply

  • We have big plans to disrupt the traditional fundraising process for private businesses
  • You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing innovative funding and growth strategies for clients
  • Successful interns may be offered a full-time position with the firm
  • Everything we do is focused on helping businesses do business, better
  • We work really hard but play really hard as well

Roles & Responsibilities

  • Assist in the development of the Deal Management System (our proprietary data-driven platform for screening and management of investments); develop and implement databases, data collection systems, data analytics and other strategies that optimise statistical efficiency and quality
  • Interpret data, analyse results using statistical techniques, identify trends or patterns in complex data sets, and provide ongoing deal analytics reports to support investment decisions
  • Contribute to data mining architectures, modeling standards, reporting, and data analysis methodologies
  • Collaborate with unit managers, end users, development staff, and other stakeholders to integrate Deal Management System and Analytics with existing systems.
  • Process, cleanse, and verify the integrity of data used for analysis
  • Identify and define new process improvement opportunities

Skills & Experience Required

  • Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Technical expertise regarding data models, database design development, data mining and segmentation
  • Proficiency in Microsoft Office
  • Preference for Candidates with an understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • A Diploma or Degree in Mathematics, Economics, Computer Science, Information Management or Statistics

The ideal candidate should be

  • Interested in dealing with data, including finding and exploring more efficient ways/programs (e.g. machine learning) to collect, store, and analyse data
  • Preferably have some understanding of terms in financial statements and financial ratios
  • Able to commit for a minimum of 4 – 6 months
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