Analytics Lead - Data Strategy, AI Insights, & Growth

Prudential Syariah; Jakarta Pusat; On-site; IDR 480,000,000 - 720,000,000; Full time

Job summary

Prudential Syariah is seeking a Senior Data Analytics Lead to guide MIS and analytics initiatives in Jakarta, translating business questions into production-ready data products. The role focuses on building scalable data assets, governance, and cross-functional collaboration with senior leaders.

You will drive end-to-end analytics, mentor a growing team, and push for AI-enabled improvements while ensuring data privacy and control.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or related fields.
• 5-10 years of experience in Data Analytics, BI, MIS, Data Engineering, or related areas, including leadership.
• Strong expertise in SQL, Python/R, Power BI, ETL/ELT, data modeling, cloud data platforms, and data governance.
• Proven track record in delivering data-driven business improvements and transformation initiatives.

Responsibilities

• Lead MIS and analytics delivery: Own recurring management reporting, dashboards, ad hoc analysis, and decision-support products.
• Manage the end-to-end data lifecycle: Translate business requirements into data ingestion, transformation, modeling, validation, visualization, and production-support solutions.
• Lead and develop the team: Set priorities, allocate work, coach analysts and engineers, review outputs, remove blockers, build a collaborative culture.
• Partner with senior stakeholders: Clarify business questions, define success measures, communicate findings clearly.

Skills

Team leadership

Stakeholder management

Communication skills

Presentation skills

Problem solving

Education

Bachelor's degree in Data Science

Tools

SQL

Python/R

Power BI

ETL/ELT

Data modeling

Cloud platforms

Data governance

Job description

Prudential Syariah is seeking a Senior Data Analytics Lead to guide MIS and analytics initiatives in Jakarta, translating business questions into production-ready data products. The role focuses on building scalable data assets, governance, and cross-functional collaboration with senior leaders.

You will drive end-to-end analytics, mentor a growing team, and push for AI-enabled improvements while ensuring data privacy and control.