Assistant Manager, Health Performance Management & Intelligence | Kuala Lumpur, MY

Prudential plc; Kuala Lumpur; Hybrid; MYR 60,000 - 80,000; Full time

Job summary

A global insurance firm is seeking a Data Analyst to support business outcomes through analytics. Responsibilities include developing reporting tools, conducting analysis, and building data visualizations. Ideal candidates possess a degree in a related field and have experience in data analysis, with strong skills in SQL and Power BI. The role offers opportunities for remote work and career growth.

Qualifications

• 2-3 years of experience in data analysis and business intelligence.
• Advanced skills in data manipulation using SQL.
• Strong foundation in BI/visualization tools.

Responsibilities

• Design and build robust analytical models for insights.
• Conduct deep-dive analytics to identify improvement opportunities.
• Develop and automate management reports and BI dashboards.

Skills

Data analysis

Business intelligence

SQL

Data visualization

Communication skills

Education

Degree in Actuarial Science, Computer Science, IT, or related fields

Tools

Power BI

MS Excel

Databricks

R or Python

Job description

Prudential's purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people's career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Provide / automate routine reports and develop Operational analytics to support New Business, Policy Servicing, Endorsement, Claims business requirements to improve business outcomes.

Use of analytical and visualization software to extract, transform, integrate, analyze and visualize large and complex data to detect data anomalies and data trends, as well as building new data relationship.

Prepare in-depth analysis, observations, and recommendations for business improvements to Head of Departments and Senior Management.

Assist in developing and maintaining analytical data warehouse and visualisation dashboards for data analytics and reporting.

Support data migration e.g. reconciliation report on deduplication of client, occupation transformation, data extraction to support UAT test cases and ORT.

Provide data to auditor and regulator enquiry to facilitate audit process.

Review extracted information and liaise with process owners to ascertain integrity, accuracy and completeness of data extracted.

Perform ad-hoc data extraction and analysis to provide insights to management as per requested.

SUMMARY OF DEPARTMENT FUNCTION IN THE ORGANIZATION :

• Drive performance management and business insights supporting health business growth and sustainability through data analysis and visualization.
• Use of reporting and visualization to transform data into digestible insights for agile decision making with stakeholders.
• Use of advanced analytics for mining of large and complex data for prediction of future trends and formulation of targeted intervention plans.
• Incumbent role focuses on customer and distribution analytics, as well as lead and campaign performance analysis to improve business outcomes.

PRINCIPAL DUTIES & RESPONSIBILITIES:

• Design and build robust analytical models and solutions for actionable insights supporting key strategic decision-making.
• Deliver business requirements within agreed timelines, ensuring quality controls and customer satisfaction.
• Conduct deep-dive analytics based on business priorities to identify improvement opportunities.
• Practice discipline in documentation of assumptions, observations and findings.
• Support ad-hoc analysis requests from stakeholders
• Develop and automate management reports / BI dashboards.
• Liaise with business users, Enterprise Architect, and stakeholders to identify business problems and develop state-of-the-art solutions aligned with business objectives.

JOB SPECIFICATION:

Qualifications

• Possess a degree in Actuarial Science, Computer Science, Information Management, IT, Applied Statistics, Finance, Accounting, Data Analytics or any related discipline.

Experience

• Minimally 2-3 years of working experience in data analysis and business intelligence, preferably with prior experience in customer analytics.
• Advanced MS Excel skill, strong foundation in data manipulation of large data using tools such as SQL, as well as proficient in BI/visualization tools such as Power BI.
• Good writing and communication skills in English.
• Proficient in other Microsoft Application e.g. Power Point and Word.
• Prior experience with Databricks, Visual Basic, R or Python are a plus.

Skillset

• Passion and strong technical competency in quantitative methods and/or business analytics;
• Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management;
• Passionate about solving problems; possesses a relentless need for investigation and data exploration;
• Ability to lead, multi-task and manage changing priorities effectively;
• Willingness to learn, accept new challenges and go extra mile;
• Self-motivated, resourceful, and enjoy sharing knowledge with team members;
• Proactive, result oriented and takes pride in their quality of work;
• Enjoys working cross-functionally with any business unit.

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

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