Data Analyst – Search (0 Experience Required)

Data Analyst - Search (0 Experience Required)

Job Description:

Join a dynamic team focused on enhancing location-based services through data analysis. As a Data Analyst, you will play a crucial role in ensuring the precision and relevance of machine learning outputs. Your tasks will involve reviewing and assessing search results, news articles, images, and transit data to determine their relevance and accuracy. This position offers the unique opportunity to work flexibly from your home, allowing you to manage your schedule around other commitments. Whether you are a student seeking experience, a retiree looking for a new challenge, or a parent wanting to work from home, this role is tailored for you. Your contributions will directly impact how users interact with technology across various platforms and services.

IT Languages:

• Python
• SQL

As a Data Analyst, your primary responsibilities will include the following tasks::

Reviewing the accuracy of machine learning data outputs;; Analyzing search results, news content, images, and transit information for relevance;; Utilizing research skills to evaluate and validate machine learning results;; Working independently to meet task deadlines and requirements

Spoken Languages:

• English;; German

Skillset:

• Research
• Data analysis
• Machine learning evaluation
• Geographical knowledge

Soft Skills:

• Attention to detail
• Critical thinking
• Self-motivation
• Time management

Qualifications:

• Fluent in English and German
• Strong research abilities
• In-depth local knowledge of news and cultural affairs
• Good understanding of geography and culture
• Analytical mindset

Years of Experience:

0

Location:

Europe

Job Benefits:

• Flexible working hours
• Work from home
• Competitive pay
• Skill development opportunities
• Avoid long commutes

Working Conditions:

Part Time

Employment Type:

Contract

Company Culture:

• The workplace promotes flexibility and independence, valuing diverse perspectives and experiences. Employees are encouraged to manage their schedules to create a healthy work-life balance, fostering a supportive environment for professional growth.

Opportunities For Advancement:

• Potential for full-time employment, Career development in data analysis, Opportunities to work on diverse projects

Visa Sponsorship:

Not Available