Data Analyst Intern
2 months ago
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
**Compensation & Benefits**
- Fast-track promotions and above industry-norm compensation for top performers
- Medical insurance
- Subsidy in laptop of your choice
- Transport allowance
- One-off equipment allowance
- Flexibility in leave policy
- Carry forward - up to 40 days
- Credit leave - for PH falls on weekends
**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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