Singtel Group | Associate, Analytics

4 weeks ago


Singapore Singtel Group Full time

Select how often (in days) to receive an alert:
The role is a key member of the Analytics and Insights Team and is responsible for supporting the Consumer Business Segment, Analytics and Insights team’s ETL processes and development of data pipelines and automations. The candidate will take ownership of designing and implementing data processing applications and solutions for data cleansing, mapping, transformation, and logging by leveraging Singtel’s Enterprise Data Warehouse and other data sources.
This role provides the candidate with an opportunity to design and develop large complex data marts to support business user exploration, predictive modeling by data scientists, and BI tool multi-dimensional data visualization. The candidate must be comfortable working with large and complex datasets, integrating data from multiple systems to provide solutions for various internal stakeholders.
The candidate needs to provide end-to-end ETL support throughout the lifecycle of projects – requirements gathering, operationalizing ETL pipelines, and troubleshooting efforts post-production. The candidate will also have the opportunity to discover new insights and problem areas with analytics to initiate improvement projects that drive cost reduction, improve customer experience, and enhance operational efficiencies.
Make an Impact by:
Managing day-to-day ETL processes and discovering opportunities for data acquisition and developing data set processes, while troubleshooting technical problems faced by the project and operation team.
Ensuring best practices, frameworks, and reusable components are employed in the development project.
Exploring, studying, and evaluating various transactional tables and new complex data sources to enhance insights team capabilities to answer complicated business questions.
Migration of processes, jobs, and tables from current systems to the new Cloud-based system.
Designing and developing large complex data marts to support business user exploration and predictive modeling by data scientists.
Skills for Success:
Degree in IT/Computer Science/Statistics/Business related.
1-3 years in data modeling, data warehousing, and multi-dimensional data visualization.
At least two of the following:
Python programming experience or equivalent languages (R, C++).
Intermediate SQL programming.
Sound knowledge in RDBMS.
Ability to communicate clearly and effectively.
Strong analytical, problem-solving, and critical thinking skills.
Ability to multitask and meet tight deadlines.
Rewards that Go Beyond:
Full suite of health and wellness benefits.
Ongoing training and development programs.
Internal mobility opportunities.
Your Career Growth Starts Here. Apply Now
We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.
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