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Data Analyst Intern

On-site
  • Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MYR 1,000 - MYR 1,800 per monthProduct Leadership - Data & Intelligence

Job description

Fueled by a passion for digital transformation? Desire for a space where challenges & success thrive in the realm of speed & innovation? Feel like you can achieve more but is handicapped by the current environment?

IF SO, we would like to talk to YOU.


As a Data Analyst Intern, you will create an interactive data visualization dashboard (descriptive & prescriptive) to help transform customers' decision-making process into a more data-driven approach. You will also be taking part in the development of AI/ML models and have them embedded as part of Boostorder suites of solution


Responsibilities

  • To be well-versed in Boostorder's data environment
  • Utilize BI tools effectively to translate and deploy Boostorder's Standard Business Intelligence (BI)
  • Deliver description, prescriptive, and predictive insights to Boostorder's ecosystem
  • Pilot with customer data to create AI/ML model to enable prescriptive analytics and quantify customer success via these models
  • Lead and develop prescriptive data models and productize them as standard Boostorder's offering


Remuneration & Perks:

Work Environment/ Culture

  • Open spaces and open-mindedness
  • Dynamic, young and vibrant
  • Lean operation – no red tape, swift decision-making
  • Flexibility in career progression – freely move between different positions based on personal performance and passion
  • High conversion rate from intern to full-time employee
  • Casual workwear
  • Free-flow snacks in pantry

Job requirements

Must-have:

  • Bachelor's Degree in Computer Science, Mathematics / Statistics, Actuarial Science
  • Experience in data visualization dashboard development and maintenance
  • Design and maintain database of at least 1 million rows in data set
  • Experience in SQL databases
  • Experience in visualization tools (Power BI or Tableau)
  • Building API connectors and performing ETL

Great to have:

  • Master and PhD in Computer Science, Mathematics / Statistics, Actuarial Science
  • Business / Finance / Marketing background
  • Practical experience in statistical analysis (Excel, SPSS, and SAS)
  • Experience with AI / ML models either through supervised, unsupervised, reinforced or deep learning

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