Online Data Analyst Punjabi
Arkansas, USA
Listed on 2025-12-27
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IT/Tech
Digital Media / Production, Data Analyst, Technical Writer, Digital Marketing
Online Data Analyst Punjabi (US)
Role
:
Online Data Analyst – TELUS Digital Location
:
Remote (United States)
Employment type
:
Part‑time Seniority level
:
Entry level Job function
:
Administrative Industries
: IT Services and IT Consulting
You will work on a long‑term freelance project that involves researching, evaluating, and verifying digital map content using web‑based tools. The work is performed from home at your own pace.
Responsibilities- Enhance the content and quality of digital maps used by millions worldwide.
- Complete research and evaluation tasks in a web‑based environment, including verifying and comparing data and determining the relevance and accuracy of information.
- Follow guidelines and conduct online research using search engines, online maps, and website information.
- Adapt to a diverse set of task types, such as maps, news, audio, and relevance tasks.
- Full professional proficiency in Punjabi and English.
- Residence in the United States or having resided in the US for the last two consecutive years and familiarity with current and historical U.S. business, media, sport, news, social media, and cultural affairs.
- Daily access to a broadband internet connection, a computer, and relevant software.
- Flexibility to work across a diverse set of task types.
Qualified applicants will take an open‑book qualification exam and complete . The exam will determine your suitability for the position and must be completed within a specific, but flexible, timeframe.
Equal Opportunity & EEO StatementAll 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. TELUS Digital AI is proud to offer equal opportunities and is 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.
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