Data Analyst

North America Remote, North America Remote

We are seeking applicants who are native Korean speakers with proficiency in English.

Our team is comprised of very talented individuals, who are passionate about AI/ML and ensuring client services are at their best.

As part of the Data Quality Operations team, you’ll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment.

Essential functions

As a Data Quality Operations Analyst, you’ll monitor quality of annotated data, provide input on evaluation data produced by the team and provide analysis of the projects you support. You’ll use your language and cultural knowledge, along with analytical skills, to evaluate responses against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use Media products and use this knowledge for improvements.

Because we believe our individual backgrounds, perspectives, and passions help us build the ideas that move all of us forward. We’ll train you to be an expert in understanding, supporting and improving the customer experience.

We are seeking applicants with fluency in Korean

Qualifications

Key Qualifications

Fluency in the preferred language with excellent comprehension, grammar and proofreading skills

Excellent English reading comprehension and writing skills

Highly organized with strong attention to detail

Understanding of the regions and cultural variations where the preferred language is spoken

Ability to independently navigate systems and tools

Demonstrates integrity and focuses on customer privacy

Experience in content review or a similar environment, prior testing experience preferred

Demonstrates flexibility and adaptability to changing work-flows and responsibilities

Excels at working independently to make timely decisions and take appropriate actions

Ability to identify business process solutions that increase efficiencies

Ability to maintain focus and aim for high results through large volumes of tasks

Expertise in analyzing large data sets, problem-solving and generating insights that improve user experience for Apple media products.

Experience with data-querying (SQL, etc.), and familiarity with a scripting language for data processing and development

(e.g., Python).

Experience working with Tableau or other data visualization technologies and the ability to design striking and informative dashboards and reports.

Strong verbal and written communication and presentations skills to naturally explain difficult technical topics for business partners and leaders to comprehend easily.

We offer

  • Opportunity to work on bleeding-edge projects

  • Work with a highly motivated and dedicated team

  • Competitive salary

  • Flexible schedule

  • Benefits package - medical insurance

  • Corporate social events

  • Professional development opportunities

  • Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.

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