Online Data Analyst - Remote Latvian

Online Data Analyst - Remote Latvian in Canada

Join to apply for the Online Data Analyst - Remote Latvian in Canada role at TELUS Digital AI Data Solutions

Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home.

• Seniority level: Entry level
• Employment type: Part-time
• Job function: Administrative
• Industries: IT Services and IT Consulting

• Working on a project to enhance the content and quality of digital maps used by millions worldwide.
• Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.

• Full professional proficiency in Latvian and English language.
• Resident in Canada for the last 2 consecutive years with familiarity with current and historical business, media, sport, news, social media, and cultural affairs in Canada.
• Ability to follow guidelines and conduct online research using search engines, online maps, and website information.
• Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance.
• Daily access to a broadband internet connection, computer, and relevant software.

In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete . Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.

All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.