[ÀÏ·ºÆ®·Î´Ð¾ÆÃ÷ÄÚ¸®¾Æ(À¯)][EA Korea] QA Data Analyst µî·ÏÀÏ : 2018-08-14 18:39 
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´ã´ç¾÷¹« [We are EA]
We make games – how cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is hard work. That¡¯s why we employ the most creative, passionate people in the industry. Our games are played everywhere in the world —in countries as diverse as the USA, Germany, Russia, Brazil, South Korea and the Emirates— on any kind of gaming device (PC, web, console, mobile, smart TV¡¯s, etc.) and support a wide range of business models (digital downloads, PDLC, F2P, subscriptions, etc.)


[SPEARHEAD QA]
Under the EA global CDS (Central Development Service) organization, we¡¯ve been supporting Qualitive services for EA titled games (such as FIFA-Online, NFS-Edge) developed in SPEARHEAD (EA studio in Korea) through whole lifecycle from developing to Live service. Closely co-working with SPEARHEAD teams, we¡¯re delivering guaranteed quality of game products to ASIA markets including Korea, China and South East Asia countries currently.


[Data Analyst in Testing & QA]
The Data Analyst role, in Testing & QA organization, will be responsible for assembling data from multiple sources, conducting analyses, performing research, interacting with different internal customers, designing, documenting, and implementing analytical solutions, as well as compiling and presenting results, in graphical and written summaries, to a variety of audiences. You will be responsible for building metrics reporting systems and for tracking process improvements across the organization. You will excel in a fast pace environment, managing multiple responsibilities and deadlines in an internationally based team. The ideal candidate would be an effective communicator who combines solid technical skills with pride in excellence, who also demonstrates the potential to grow into a client-facing consulting role and/or an analytical consulting role (i.e. development of simulation models).


[Key Duties and Responsibilities]
Drive Analytic QA approach in KR studio through proactive co-working with global teams, and execute below practices:

- Conduct analysis using statistical software, databases, spreadsheets, and reporting - tool
- Design, evaluate and monitor key metrics, understanding root causes of changes in metrics
- Develop and maintain scripts and queries to import, manipulate, clean, transform data from different sources
- Build and share live dashboards and reports complete with user documentation
- Build and train statistical models for hypothesis testing
- Perform quality assurance on generated results to ensure accuracy and consistency
- Preparation of ¡°client ready¡± deliverables
- Prepare professional results in presentation and document format
- Quality assurance on final results for consistency and accuracy
- Interacting with clients and client organizations
- Dealing with data providers in internal client organizations, specifically in the development of data requests, checking of data received, and follow up with data providers on data issues.
- Dealing directly with clients on projects involving technical methodologies
- Presenting results to clients in a clear and respectful manner, and maintaining professionalism in collecting feedback
- Project management and quality assurance of active projects
ÀÚ°Ý¿ä°Ç [Skills and Knowledge Required]
We are looking for a results oriented self-starter who is able to assume responsibility and ownership for active projects. The applicant must meet the following requirements:

• Fluent in English
• 2-3 years in an analytical role
• Data Analysis - Very good knowledge of R language, MS Excel mastery, including VBA, PivotTables, and array functions - or other similar tools used for discovering data patterns and correlations through statistical methods.
• Strong math and analytical skills including statistics, simulation, and optimization - understanding of correlation, regression, classification and other statistical methods used to look at the data from different angles for use in prescriptive and predictive models.
• Experience in working with large operational data sets, involving categorical data for solving classification problems, is a strong plus.
• Expert data visualization techniques for charts and reports - good knowledge of Microsoft Power BI and/or Tableau.
• Must have very good database and SQL knowledge. Nice to have programming skills HTML, Javascript, CSS, D3.js.
• Unstructured data handling - know best practices on how to stage unstructured data and properly model it to solve the problem at hand.
• Ability to prepare professional documents and presentations using Microsoft PowerPoint and Word.
• Takes pride in achieving excellence - detail oriented, organized, careful and takes mistakes seriously.
• Self-motivated and self-driven, with demonstrated ability to quickly and independently learn new concepts.
• Thrives in challenging situations, considers them as opportunities for growth, and deepens its knowledge in the process.
• Strong problem solving and creative thinking skills.
• Strong written and verbal communication and skills – ability to tell a compelling story supported by data.
• University degree in a technical field (e.g. Computer Science, Statistics, Engineering, • Mathematics, Operations Research, etc.)
• Experience working in an international team(desired)
• Project management and process improvement experience(desired)


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