Freelance Online Data Analyst (Latvian) - Remote
About the Role
We are seeking a Freelance Online Data Analyst (Latvian) to join our dynamic team at TELUS Digital. This remote position allows you to work at your own pace from the comfort of your home while contributing to the enhancement of digital maps used globally. As an Online Data Analyst, you will play a crucial role in improving the content and quality of digital maps, making a significant impact in the AI ecosystem.
What You'll Do
- Conduct research and evaluation tasks in a web-based environment.
- Verify and compare data for relevance and accuracy.
- Enhance the content quality of digital maps.
- Work on diverse tasks with flexibility in your schedule.
- Collaborate with a dynamic team dedicated to making a difference in AI.
Requirements
- Full Professional Proficiency in Latvian and English.
- Resident in the UK for the last 2 years with familiarity in local affairs.
- No previous professional experience required; however, you must pass a qualification exam to join the program.
- Daily access to broadband internet and a computer is essential.
- Ability to follow guidelines for online research.
Nice to Have
- Experience in data analysis or related fields.
- Familiarity with digital mapping tools.
- Strong attention to detail and analytical skills.
What We Offer
- Earn extra income working remotely.
- Freedom to choose your own working hours.
- Access to community well-being initiatives.
- Opportunity to contribute to the development of the AI ecosystem.
This Freelance Online Data Analyst role offers flexibility and the chance to contribute to AI development while working remotely. Ideal for those seeking part-time opportunities.
Who Will Succeed Here
Proficient in data analysis tools such as Excel and SQL, with a keen understanding of web evaluation techniques to assess digital map quality.
Self-motivated and detail-oriented, thriving in a remote work environment where independent research and analytical problem-solving are essential.
Possesses a foundational knowledge of geographic information systems (GIS) and digital mapping technologies, combined with a growth mindset to embrace new analytical methodologies.
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