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, Data Science, Information Technology
- 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
- Building API connectors and performing ETL
Great To Have
- Master and PhD in Computer Science, Data Science, Information Technology
- Experience in Looker Studio, Tableau, PowerBI
- Practical experience in statistical analysis (Excel, SPSS, and SAS)
- Experience with AI / ML models either through supervised, unsupervised, reinforced or deep learning
