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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
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  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
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  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...

Data Analyst

RM 3,500 - RM 5,500 / month
Checking job availability...
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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, 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
  • 3 years of 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