Deskripsi Pekerjaan
Are you detail-oriented with a passion for numbers? TELUS International invites you to join our dynamic team in Singapore as an Online Data Analyst. In this pivotal role, you will be responsible for ensuring the accuracy and integrity of our data, turning complex information into clear, actionable insights that drive our global operations. We are looking for English-speaking professionals who are eager to contribute to a collaborative environment where innovation meets excellence.
As part of our diverse workforce, you will have the opportunity to work on meaningful projects that impact millions of users worldwide. We pride ourselves on a supportive culture that encourages professional growth and values the unique perspectives of every team member. If you are ready to kickstart your career in data analysis, TELUS International is the place for you.
Tanggung Jawab
- Analyze and interpret complex datasets to identify trends, patterns, and actionable insights.
- Ensure the accuracy and quality of data through rigorous quality control and validation processes.
- Collaborate with cross-functional teams to understand business requirements and data needs.
- Prepare and present clear, concise reports and visualizations for key stakeholders.
- Perform data cleaning, normalization, and maintenance to uphold high data hygiene standards.
- Monitor data pipelines and promptly report any discrepancies or anomalies.
- Support the continuous improvement of data collection and reporting methodologies.
Kualifikasi
- Fluent in English (spoken and written) is essential for this position.
- Strong attention to detail with the ability to spot errors in large datasets.
- Proficiency in Microsoft Excel (including Pivot Tables, VLOOKUP, and functions) is required.
- Basic understanding of data analysis principles and statistical concepts is a plus.
- Ability to work independently and meet deadlines in a fast-paced, part-time environment.
- Strong problem-solving skills and a logical approach to interpreting data.
- Relevant experience in a data-related role or academic background is highly desirable.