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...

Data Analyst.

Salary undisclosed

Apply on

Linkedn
Original
Simplified
Key Responsibilities
  • Collect data from a variety of sources such as databases, APIs, flat files, and external datasets.
  • Identify and investigate anomalies or outliers in the data to ensure the integrity and reliability of findings.
  • Develop and implement statistical models, hypothesis testing, and regression analyses to support business objectives.
  • Analyze large datasets to generate actionable insights that can guide business strategies and improve operational efficiency.
  • Create clear, compelling, and interactive data visualizations using tools like Tableau, Power BI, or Google Data Studio to communicate findings.
  • Present findings, trends, and key insights to business leaders to help guide decision-making and strategic planning.
  • Work closely with business teams, product managers, and other stakeholders to understand business requirements and data needs.
  • Develop and maintain data quality assurance processes to minimize errors and inconsistencies in reporting.
  • Monitor the performance of data models and analysis techniques, identifying areas for optimization and improvement.
  • Stay up-to-date with the latest tools, techniques, and best practices in data analysis, statistical modeling, and data visualization.
Primary Skills and Qualifications
  • Proficiency with visualization tools such as Tableau, Power BI, Google Data Studio.
  • Experience with data wrangling tools like OpenRefine, Trifacta, KNIME, and RapidMiner.
  • Advanced skills in Excel for data manipulation and analysis, including pivot tables, advanced functions, and charts.
  • Strong knowledge of SQL and experience working with relational databases such as MySQL, PostgreSQL, and Oracle.
  • Experience working with APIs for data extraction and integration into data pipelines.
  • Knowledge of version control systems like Git or SVN to manage and track changes in data and scripts.
  • Familiarity with performance monitoring and optimization tools.
  • Ability to analyze large datasets to identify key trends, insights, and business opportunities.
  • Experience with data modeling and machine learning algorithms is a plus.
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Business, Economics, or related field (or equivalent work experience).
  • 8+ years of experience in data analysis or a related role, with a demonstrated ability to apply analytical techniques to real-world business problems.
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