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Assistant Director, Analytics & Insights

Pay
Pay not listed
Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Drive analytical roadmaps and metrics for the marketing team

  • Lead a team of analysts on forecasting, reporting and business planning

  • Perform data mining and correlation analysis to find marketing opportunities

  • Build market behavioral, life cycle and time series forecasting models

  • Promote self-service analytics platforms such as Qlik Sense across stakeholders

From the employer’s posting
Drive analytical roadmaps and metrics for the marketing team
Leading a team of analysts in interpreting and transforming systems variables in enhancing business analytics, forecasting, management reporting, business planning
Perform data mining and correlation analysis to discover marketing opportunities
Market behavioral models Life cycle models Sensitivity modeling & analysis Time series and forecasting models
Drive a culture of data-driven marketing through evangelism of self-service platform usage (such as Qliksense)
Education & alternatives
QUALIFICATIONS & REQUIREMENTS : - Bachelors with at least 2nd class upper of equivalent or Masters degree in quantitative background from a reputable university - Solid experience in operations, MIS and systems management and banking/insurance marketing , advanced analytics
Apply at Prudential

Posting record

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Status in our records
Live
First seen by us
Aug 18, 202678 days ago
Recorded sightings
169
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 78

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Prudential is hiring

23 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SAS
  • Hadoop
  • Power BI
Where the posting names them
JOB SCOPE : - Drive analytical roadmaps and metrics for the marketing team using statistical and BI tools, including but not limited to SAS, Qliksense and Power BI. Constantly explore new technologies to lead the team into advanced analytics. - Work collaboratively with senior stakeholders in the analytics infrastructure and ecosystem to facilitate marketing, underwriting and management team in driving business analytics and strategy.
- Awareness of consumer, and commercial products and market trends - Experienced in SAS , R, Hadoop , Qliksense. - Experienced in practical application and deployment of analytical models such as propensity and segmentation models is an added advantage

Your next step

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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.

JOB SCOPE :

  • Drive analytical roadmaps and metrics for the marketing team using statistical and BI tools, including but not limited to SAS, Qliksense and Power BI. Constantly explore new technologies to lead the team into advanced analytics.

  • Work collaboratively with senior stakeholders in the analytics infrastructure and ecosystem to facilitate marketing, underwriting and management team in driving business analytics and strategy.

  • Perform data mining and correlation analysis to discover marketing opportunities and communicate the findings and recommendation to the business stakeholders to support and influence strategic and marketing decisions, project initiatives.

  • Leading a team of analysts in interpreting and transforming systems variables in enhancing business analytics, forecasting, management reporting, business planning and data consumption for strategic decision management.

  • Drive a culture of data-driven marketing through evangelism of self-service platform usage (such as Qliksense) and ensuring robust and timely data are made available for various stakeholders so that they can use the appropriate data to make impactful decision.

PRINCIPAL DUTIES & RESPONSIBILITIES: 

Assisting business centers to move towards:

  • Knowledge based management on effective use of information

  • Implementation of key value driver measurement continuum

  • Utilization of decisional analytics models

To provide expertise in the introduction of marketing programs by assisting in the development of test designs, analysis and benchmarking processes:

  • Product profitability assessment

  • Statistical significance testing

  • Variance analysis

  • Impact and consequential analysis

Development and implementation of analytics models to support business strategies and value creation:

  • Market behavioral models

  • Life cycle models

  • Sensitivity modeling & analysis

  • Time series and forecasting models

  • Optimization and cost-risk-benefit models 

QUALIFICATIONS & REQUIREMENTS :

  • Bachelors with at least 2nd class upper of equivalent or Masters degree in quantitative background from a reputable university

  • Solid experience in operations, MIS and systems management and banking/insurance marketing , advanced analytics

  • At least 9 years in-depth managerial experience in banking industry, concentration in marketing, finance and credit exposure will be an added advantage

  • Awareness of consumer, and commercial products and market trends

  • Experienced in SAS , R, Hadoop , Qliksense.

  • Experienced in practical application and deployment of analytical models such as propensity and segmentation models is an added advantage

 

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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Kuala Lumpur

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