Senior Data Analytics & Insights Manager

HLB; Kuala Lumpur; On-site; MYR 120,000 - 200,000; Full time

Job summary

Hong Leong Bank, a leading financial institution in Malaysia, seeks a seasoned data analytics professional to turn complex data into strategic insights. You will build predictive models, dashboards, and reports that inform product, marketing, and growth initiatives across Malaysia.

Collaborating with cross-functional teams, you will translate business questions into rigorous analyses, maintain data quality, and communicate findings to executives, shaping decisions and driving measurable results.

Qualifications

• Bachelor's or Master's degree in CS/Data Science/Engineering/Statistics or related field.
• 5+ years hands-on data analytics/engineering/science with business focus.
• Proficient in SQL and Python; familiarity with SAS or R is a plus.
• Experience with Tableau and Power BI for data visualization.

Responsibilities

• Apply quantitative methods and data mining to manage large datasets and build predictive models.
• Identify sales, acquisition, retention and cross-sell opportunities through analytics.
• Translate business requirements into data models; manage leads, channels, and campaigns.
• Design analyses, track KPIs, and build reporting frameworks.
• Deliver executive-ready insights to influence strategic decisions.
• Develop interactive dashboards to democratize data access across teams.
• Ensure analytics initiatives align with bank-wide strategic goals.

Skills

SQL

Python

SAS

R

Tableau

Power BI

Campaign management

Leads data flows

Data analysis

Business analytics

Education

Bachelor's or Master's degree

Related field (CS/DS/Eng/Stats)

Tools

SAS

R

Tableau

Power BI

Job description

Hong Leong Bank, a leading financial institution in Malaysia, seeks a seasoned data analytics professional to turn complex data into strategic insights. You will build predictive models, dashboards, and reports that inform product, marketing, and growth initiatives across Malaysia.

Collaborating with cross-functional teams, you will translate business questions into rigorous analyses, maintain data quality, and communicate findings to executives, shaping decisions and driving measurable results.