Data Analyst Intern

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

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