Data Analyst/ Quality Engineer - German Language (Only W2, No C2C)
Posted 4 days ago by 1765522624
Negotiable
Outside
Remote
USA
Summary: The Data Analyst/Quality Engineer role focuses on evaluating model quality using large datasets while ensuring data integrity and conducting thorough analysis and reporting. The position requires proficiency in both German and English, along with strong analytical skills and a detail-oriented approach. The role is remote and supports PST hours, emphasizing the need for self-motivation and reliability. Candidates must be comfortable with data manipulation and statistical analysis to provide actionable insights.
Key Responsibilities:
- Conduct manual model quality evaluation with large datasets
- Data creation and recasting
- Data integrity check
- Results analysis, consolidation, and reporting
Key Skills:
- Native/Bilingual German and English (Read, Speak, Write)
- Self-motivated and quality-focused
- Data savvy and comfortable with MS Excel
- Strong analytical and statistical analysis skills
- Ability to learn quickly and prioritize assignments
- Ability to handle confidential information professionally
- Reliable, committed, and detail-oriented
- Statistical analysis skills
- Data creation and recasting
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Title: Data Analyst/ Quality Engineer - German Language (Only W2, No C2C)
Duration: 6+ Months
Location: Remote (Support PST Hours)
Job Duties:
Conduct manual model quality evaluation with large datasets
Data creation and recasting
Data integrity check
Results analysis, consolidation, and reporting
What you need to be successful in this role:
Native/Bilingual German and English (Read, Speak, Write)
Self-motivated Quality focused
Must be data savvy and comfortable with MS Excel
Strong analytical and statistical analysis skills in order to extract insights and recommendations
Ability to learn quickly and be able to prioritize assignments
Ability to handle confidential information professionally
Reliable, committed, and detail-oriented
Required Skills:
Statistical analysis skills
Data creation and recasting