KEY RESPONSIBILITIES
a) Digitalization and Automation
- Assess manual processes that can be automated by collaborating with Business Units (BUs).
- Reduce manual effort and optimize processes while providing analytical insights through automation solutions.
- Minimize human error and ensure proper data governance for implemented solutions and products.
- Define product requirements, roadmaps, and success metrics in collaboration with stakeholders.
b) Data Analytics Development & Integration
- Develop a data analytics framework to commercialize Managed Data Analytics solutions by leveraging data collected from customers Altel-deployed infrastructure.
- Generate meaningful insights to support business decision-making.
- Optimize analytics models for scalability, performance (latency), and cost efficiency.
c) Data Analytics Performance & Compliance
- Ensure ethical data analytics practices, including bias mitigation, transparency, and compliance with relevant standards (e.g., PDPA, ISMS/ISO 27001).
- Monitor and manage post-deployment performance, continuously improving models and solutions.
REQUIREMENTS
- Bachelor's Degree in Data Science, Engineering, Information Technology, or equivalent.
- Professional certifications such as Certified Data Analyst, Data Science certifications, or related credentials will be an added advantage.
- Minimum 48 years of experience in Networking, IP Packet technologies, or Cloud technologies.
- Minimum 35 years of experience in automation and data analytics tool development, including hands-on product development and deployment.
- Strong experience in programming and scripting languages such as Python and Ruby (including Ruby on Rails).
- Proficient in Python, Spark, and Hadoop.
- Proficient in Power Automate, Power Apps, Power BI, SQL, MySQL, Google Sheets, and Google Looker Studio.
- Experience with RESTful APIs, CI/CD pipelines, and Git version control.
