Epicareer Might not Working Properly
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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.
Visit Site here
  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.
Visit Site here
  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.
Visit Site here
  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).
Visit Site here
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Jobs or company...

Finance Data Analyst

Salary undisclosed

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Responsibilities:

  • Data Collection and Analysis: Collect, analyze, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
  • Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users' requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
  • Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
  • Enhancements: Identify opportunities for process improvement and operational efficiency
  • Research and Learning: Deeply understand relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools



Minimum Qualifications:

  • 2-4 years consulting or financial/business/data analyst experience
  • BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
  • Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
  • Excellent verbal and written communication skills with ability to articulate results of analysis in business terms
  • Confirmed ability to conduct complex, data driven analysis
  • Ability to work independently and collaboratively in a fast-paced environment
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis



Qualifications:

  • Knowledge of accounting principles, financial statements, and financial modeling
  • A basic understanding of data design pattern differences between transactional ERP systems (e.g. SAP) and analytical data warehouses (e.g. BigQuery, Snowflake)
  • Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
  • Knowledge of SQL and working with large datasets
  • Experience with data analytics tools and programming(e.g. R, Python)
  • Experience building interactive data visualizations, excellent storytelling skills (e.g. Tableau, Streamlit, Shiny)
  • Experience building/applying statistical and/or machine learning solutions to solve business problems
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