Senior, Technology Finance & Analytics (Data Analytics)

CelcomDigi; Subang Jaya; On-site; MYR 120,000 - 150,000; Full time

Job summary

A leading telecommunications firm in Malaysia seeks a Senior Technology Finance & Analytics professional to enhance data-driven decision-making. This role focuses on AI-enabled forecasting and cost optimization while developing scalable financial data solutions. Ideal candidates will possess advanced data science, automation skills, and strong financial analytics expertise. The position requires collaboration with technical teams to drive business growth and operational efficiency through strategic financial insights.

Qualifications

• Experience designing and deploying AI/ML models for financial forecasting and cost analysis.
• Hands-on experience with ETL pipeline development and financial data engineering.
• Proficiency in BI tools such as Power BI, Tableau, or similar platforms.

Responsibilities

• Lead the development and implementation of AI-powered models to forecast financial metrics and network costs.
• Automate financial reporting and reconciliation processes using advanced scripting and workflow tools.
• Collaborate with DevOps and data engineering teams to deploy scalable analytics platforms.

Skills

AI/ML modeling

ETL development

BI tools (Power BI, Tableau)

Python

R

SQL

Automation tools (Alteryx, UiPath)

Cost management

Market analysis

Project management

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, Finance, or a related field

Tools

Power BI

Tableau

Job description

Senior, Technology Finance & Analytics (Data Analytics)

Employment Type: Permanent

City: CelcomDigi Hub, Subang Jaya

Role Summary

We are looking for a strategic finance and analytics leader to drive AI-enabled forecasting, cost optimization, and data-driven decision‑making. This role will lead the development of scalable financial data solutions, automation initiatives, and predictive models to support business growth and operational efficiency.

Responsibilities

• Lead the development and implementation of AI‑powered models to forecast financial metrics and network costs, enabling data‑driven strategic planning.
• Automate financial reporting and reconciliation processes using advanced scripting and workflow tools to improve efficiency and reduce manual work.
• Collaborate with DevOps and data engineering teams to deploy scalable analytics platforms that deliver real‑time financial and operational insights.
• Analyze Capex, Opex, and COGS trends to identify cost‑saving opportunities and lead initiatives to optimize financial performance.
• Design and lead predictive modeling to assess ROI on network investments and technology upgrades, supporting executive decision‑making.
• Monitor and analyze revenue trends in relation to network utilization and customer behavior to uncover growth opportunities and inform pricing strategies.
• Build and maintain robust ETL pipelines to ensure real‑time access to accurate financial data for agile reporting and analytics.
• Develop executive dashboards and visualizations using Power BI and Tableau to deliver strategic insights.
• Lead governance efforts to maintain data consistency and integrity across financial systems, ensuring compliance and audit readiness.
• Translate complex financial data into actionable insights for non‑finance stakeholders to support cross‑functional alignment.
• Develop and execute a sourcing strategy aligned with divisional goals to drive cost efficiency, supplier innovation, and long‑term value.
• Lead cost‑reduction initiatives by analyzing market trends and pricing models to eliminate financial leakages.
• Conduct market research to identify emerging technologies, suppliers, and sourcing opportunities that drive innovation and competitive advantage.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, Finance, or a related field.
• Experience designing and deploying AI/ML models for financial forecasting and cost analysis.
• Hands‑on experience with ETL pipeline development and financial data engineering.
• Proficiency in BI tools such as Power BI, Tableau, or similar platforms.
• Strong skills in Python, R, or SQL for financial modeling, automation, and data analysis.
• Experience automating financial processes using tools like Alteryx, UiPath, or Power Automate.
• Proven track record in cost management, market analysis, and pricing model evaluation.
• Familiarity with sourcing in the technology and network domain, including supplier innovation.
• Experience working with DevOps, data teams, and finance stakeholders to deploy analytics solutions.
• Ability to communicate complex financial insights to non‑finance stakeholders.
• Strong project management skills and experience leading cross‑functional initiatives.
• Knowledge of financial data governance and regulatory compliance.

Next Steps

Thank you for taking the first step towards joining our team at CelcomDigi! After submitting your application, our Talent Acquisition team will review your CV and reach out to shortlisted candidates to guide you through the next steps, including a pre‑screening conversation, interviews and or assessments.

CelcomDigi is an equal opportunity employer, and committed to promote employment practices that are transparent, objective and fair.

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