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Data Analyst (Japanese Native speaker)

Wroclaw, Krakow, Warsaw, Poland

We are seeking a highly specialized Data Analyst to join a critical, cutting-edge project focused on real-time fraud detection based on conversation analysis. This high-impact role supports a leading mobile OS provider and major smartphone manufacturer, and requires native-level Japanese fluency to handle conversation analysis, metric design, and visualization for the local market. You will directly contribute to customer safety and system security.

Essential functions

  • Independently gather and document business and system requirements for data-related inquiries

  • Model relational data and optimize queries

  • Design and perform automated data quality tests

  • Automate ETL/ELT processes with scripts

  • Perform descriptive, diagnostic, prescriptive, and predictive data analysis as ad-hoc ones, as programmatically created ones

  • Create dashboards using different BI Tools

  • Collaborate with business and tech specialists to ensure data availability and quality

Qualifications

  • Bachelor’s degree in Computer Science or a related field

  • Proven experience as a Data Analyst or in a similar role

  • Proficiency in data manipulation and analysis using tools for Python

  • Japanese Native speaker

  • Experienced in collaborating with Machine Learning teams to provide them with high-quality, accessible data

  • Experienced in researching and implementing new data technologies and methodologies.

  • Proven ability to engineer and refine complex prompts to reliably control and automate LLM outputs for analytical tasks

  • Strong understanding of core LLM concepts, capabilities, and limitations to critically select and deploy appropriate models

Would be a plus

Good to haves:

  • Master’s degree in Computer Science or a related field.
  • Familiar with Google tools and technologies, especially related to Python and data generation/analysis
  • Experience in developing test automation for ETL / data pipelines with ETL tools or programming languages
  • Agentic approach for workflow automation
  • Strong problem-solving and analytical skills skills and the ability to work independently within a defined project scope
  • Strong communication and collaboration skills
  • Ability to work in a fast-paced environment and navigate through ambiguity.
  • Ability to manage and coordinate multiple project assignments simultaneously in a deadline-driven environment, accepting ownership and accountability of the process and delivering on commitments

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, sports
  • 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.