Senior Analytics & BI Lead

AIA Malaysia; Kampung Malaysia Tambahan; On-site; MYR 120,000 - 180,000; Full time

Job summary

AIA Malaysia is seeking a data analytics professional to enable data-driven decision making across Digital Business and Customer Acquisition. You will transform customer and performance data into actionable insights, automate reporting, and collaborate with Marketing, Product, Data Engineers and Data Scientists to drive growth and improve reporting capabilities.

The role requires 5+ years in data analytics, strong SQL, and hands-on Power BI experience, with a focus on governance, data quality

Qualifications

• Bachelor's Degree or above in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, Engineering or other quantitative disciplines.
• Minimum 5 years of experience in Data Analytics, digital analytics, marketing analytics, business intelligence or related fields.
• Experience in insurance, financial services, digital platforms or customer analytics environments is preferred.
• Strong SQL and data analysis skills with experience handling large and complex datasets. Experience in Python will be an added advantage.
• Experience with Power BI, Tableau or similar visualisation tools.
• Hands-on experience with Power BI, including data modelling, DAX and dashboard development. Good understanding of data warehousing, data pipelines and analytics best practices.
• Strong analytical thinking and problem-solving skills with the ability to translate business needs into actionable insights.
• Effective stakeholder management, communication and data storytelling skills.
• Self-motivated, detail-oriented and able to work collaboratively in a fast-paced environment.
• Extremely motivated to continue learning and growing both within and beyond own core functions.

Responsibilities

• Translate analytical findings into actionable insights and recommendations that support digital business growth, customer acquisition and strategic decision-making.
• Collaborate closely with Marketing and Product teams to analyse customer behaviour, digital sales performance, O2O conversion funnels, campaign effectiveness and customer journey optimisation.
• Perform exploratory, diagnostic and ad-hoc analyses to identify trends, opportunities, risks and areas for business improvement.
• Act as the Subject Matter Expert (SME) for enterprise data assets and advise stakeholders on data availability, definitions and usage.
• Translate business requirements into scalable analytics solutions, automated reporting and self-service Power BI dashboards.
• Drive adoption of analytics solutions through stakeholder engagement, training and knowledge sharing.
• Define, monitor and optimise business KPIs, reporting frameworks and performance metrics.
• Collaborate with Data Engineers to automate reporting processes and improve data accessibility.
• Partner with Data Scientists to identify and develop new data features for customer segmentation, profiling and predictive analytics initiatives.
• Ensure timely and accurate delivery of management, operational and regulatory reports.
• Promote and practice best practices in data quality, governance and handling of sensitive customer and PII data.
• Communicate analytical findings and technical concepts effectively to both technical and non-technical stakeholders.
• Support governance and documentation of key metrics, definitions and reporting logic.
• Continuously identify opportunities to enhance analytics capabilities, reporting efficiency and data-driven decision-making across the business.

Skills

SQL

Data analysis

Python

Data modelling

DAX

Dashboard development

Data storytelling

Stakeholder management

Education

Bachelor's degree or above in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, Engineering

Tools

Power BI

Tableau

Job description

AIA Malaysia is seeking a data analytics professional to enable data-driven decision making across Digital Business and Customer Acquisition. You will transform customer and performance data into actionable insights, automate reporting, and collaborate with Marketing, Product, Data Engineers and Data Scientists to drive growth and improve reporting capabilities.

The role requires 5+ years in data analytics, strong SQL, and hands-on Power BI experience, with a focus on governance, data quality