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Data Analyst Intern #GeneralInternship
3 weeks ago
At Singtel, our mission is to Empower Every Generation. We are dedicated to fostering an equitable and forward-thinking work environment where our employees experience a strong sense of Belonging, to make meaningful Impact and Grow both personally and professionally. By joining Singtel, you will be part of a caring, inclusive and diverse workforce that creates positive impact and a sustainable future for all.
Be a Part of Something BIG
The team is seeking to train up potential new Singtel employees in B2B mobile domain in areas of technologies, data analytics and product developments.
Make an Impact
- Understand business problems from the department; identify and document requirements and data needed to solve them.
- Ability to combine market, operational, financial data into rich data set for use by the business.
- Analyze and review data gathered, identify problems (which can also include understanding the process) and opportunities for improvement.
- Collect and establish how data categories are related to each other and work through on data presentation.
- Ability to understand and manipulate volumes of data from internal and external sources.
- Communicate data insights and findings effectively to diverse audiences within Singtel, promoting data-driven decision-making.
- Analyze customer behavior for insights, using data-driven approaches to improve Singtel’s product and service offerings.
- Prepare data visualizations, dashboards and reports based on data analytics and statistics.
- Document business rules for data
- Ensure the quality, completeness, and accuracy of data definitions.
- Develop scripts and tools to extract and manipulate data.
- Work with IT on source data requirements, reports design and requirements.
Skills for Success
- Currently pursuing a Bachelor's or Master's Degree in Computer Science, Mathematics, Statistics, or a related field
- Commit to a 6-month internship
- Knowledge in Analytical techniques: Statistical modelling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., Gradient Boosted Tree, Neural Networks), Generative AI, LLMs, design of experiments, segmentation/clustering, text mining, network analysis, optimization, simulation
- Knowledge in Analytics tools: Efficient data manipulation (with skills in Excel, SQL Hive, Impala) and data visualization (Excel, Power BI).
- Ability to analyse large datasets.
- Has a growth mindset and analytical and problem-solving skills.
Your Career Growth Starts Here. Apply Now
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