Analytics Lead

Prudential Syariah; Jakarta Pusat; On-site; IDR 350,000,000 - 700,000,000; Full time

Job summary

Prudential Syariah in Jakarta seeks a Lead MIS and Analytics to own recurring management reporting, dashboards, ad hoc analysis, and decision-support products, ensuring outputs are accurate, timely, and decision-oriented.

You will manage the end-to-end data lifecycle, lead a team of analysts and engineers, collaborate with senior stakeholders, drive governance and scalable data products, and explore AI use cases with responsible oversight.

Qualifications

• Bachelor's degree required in a quantitative field.
• 5–10 years in data analytics, BI, MIS or data engineering with leadership experience.
• Strong SQL, Python/R, Power BI, ETL/ELT, data modeling and cloud platforms.
• Experience translating business questions into data solutions.
• Excellent stakeholder management and communication skills.
• Insurance/financial services exposure is a plus.
• Hands-on leadership and problem-solving abilities.
• Familiarity with AI/LLM concepts and responsible AI practices.

Responsibilities

• Lead MIS and analytics delivery: recurring reports, dashboards, ad hoc analysis, and decision-support products.
• End-to-end data lifecycle: ingestion, transformation, modeling, validation, visualization, production support.
• Lead and develop the team: set priorities, coach, review outputs, remove blockers, foster collaboration.
• Partner with senior stakeholders to define success metrics and communicate findings clearly.
• Drive process improvements to simplify and accelerate data-driven initiatives.
• Strengthen data governance with clear definitions, ownership, lineage, access, and quality controls.
• Build scalable data products with testing, versioning, and performance monitoring.
• Support insurance performance management across sales, operations, and propositions.
• Explore AI/LLM use cases with appropriate privacy, accuracy, and oversight.

Skills

SQL

Python/R

Power BI

ETL/ELT

Data modeling

Cloud data

Data governance

Stakeholder mgmt

Communication

Presentations

Education

Bachelor's degree in Data Science, CS, Statistics, Mathematics, Economics

Tools

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Job description

• Lead MIS and analytics delivery: Own recurring management reporting, dashboards, ad hoc analysis, and decision-support products; ensure outputs are accurate, timely, consistent, and decision-oriented.
• 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 technical outputs, remove delivery blockers, and build a collaborative, customer-centric and accountable team culture.
• Partner with senior stakeholders: Work closely with Department and Division Heads to clarify business questions, define success measures, challenge assumptions constructively, and communicate findings in clear business language.
• Drive process improvement and transformation: Identify how data analytics can simplify or improve manual, fragmented, or control-intensive processes and deliver measurable improvements in turnaround time, quality, cost, control, or customer outcomes.
• Strengthen data governance: Support in establishing clear metric definitions, data ownership, documentation, lineage, access management, and data quality issue-resolution processes.
• Build scalable data products: Develop reusable datasets and semantic models rather than one-off reports, with appropriate testing, version control, deployment discipline, and performance monitoring.
• Support insurance performance management: Enable analysis across relevant areas such as sales, distribution productivity, operations, and customer proposition.
• Explore emerging capabilities: Where relevant, assess and deliver practical AI use cases involving large language models and AI agents, with appropriate controls for data privacy, accuracy, security, and human oversight.

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or related fields.
• 5-10 years of experience in Data Analytics, Business Intelligence, MIS, Data Engineering, or related areas, including team 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.
• Strong stakeholder management, communication, and presentation skills, with the ability to translate complex data into business insights.
• Experience in insurance or financial services is preferred.
• Hands-on leader with strong analytical, problem-solving, and decision-making capabilities.
• Collaborative, results-oriented, and able to manage multiple priorities while driving continuous improvement and change.
• Exposure to AI/LLM solutions, modern data architecture, and responsible AI practices is an advantage.