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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.
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  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

Salary undisclosed
Checking job availability...
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About the Role:

As a Data Analyst at Sunway Healthcare Group, you will be vital in transforming raw data into actionable insights to support decision-making and improve business outcomes. You will utilize advanced analytics techniques and tools to discover patterns, trends, and insights while ensuring data quality and effective visualization.

Key Responsibilities:

Data Preparation and Analysis:

  • Aggregate, clean, and prepare data for analysis using best practices in data preparation.
  • Collaborate with data engineers to define and enhance data pipelines.
  • Perform statistical modeling and develop analytics models to support business initiatives.

Insight Generation and Decision Support:

  • Identify trends and patterns to address business questions and challenges.
  • Consult with stakeholders to investigate issues using data-driven approaches, even without predefined hypotheses.
  • Develop actionable insights that improve decision-making processes.

Visualization and Communication:

  • Create compelling visualizations and presentations to convey insights clearly to stakeholders.
  • Use data visualization tools like Power BI to simplify complex data narratives.

Tools and Technology Expertise:

  • Work with business intelligence applications such as Power BI.
  • Leverage Power BI Dataflows for centralized and reusable ETL processes and integration with datasets.
  • Use data querying and processing tools, including SQL, or Python, to extract and analyze data.
  • Familiarity with cloud and big data technologies (e.g., AWS, Azure, Google Cloud) to enable efficient data management and integration with Power BI.

Skills and Qualifications:

  • Bachelor’s degree in Business, Analytics, Computer Science, or a related field.
  • Relevant certifications in data analytics or business intelligence like Power BI.
  • Strong background in data analysis and querying languages such as SQL and Python.
  • Proficiency in using analytics and visualization tools like Power BI to extract, analyze, and present insights.
  • Proficiency in creating and managing Power BI Dataflows to standardize and automate data transformation processes.
  • Familiarity with data preparation, cleansing, and transformation techniques for effective analysis.
  • Ability to identify trends, patterns, and correlations in complex datasets to inform decisions.
  • Experience in working with cloud-based analytics environments and tools, including the use of dataflows for integration and scalability.
  • Knowledge in statistical modeling and data interpretation to derive actionable insights.
  • Effective communication skills with both technical and non-technical teams.
  • Strong collaboration abilities, working effectively in a team setting.
  • Skilled in identifying and solving data-related challenges in cloud environments.
  • Adept at staying ahead of the curve in cloud data technologies and practices.

If you are interested in driving impactful analytics in a healthcare setting and contributing to the organization’s success, we welcome your application.