Senior Analytics Lead: AI-Driven BI & Team Growth

StashAway

Kuala Lumpur

Hybrid

MYR 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Hybrid work
Work-from-anywhere up to 8 weeks
Unlimited annual leave
Equipment budget
ESOPs
Medical coverage

Job summary

StashAway is seeking a Senior Analytics Manager to lead the BI team, own the backlog, and partner with senior stakeholders across Product, Marketing, Operations and Finance. You will drive AI-native analytics adoption, define high-value analyses, and build reusable AI assets while ensuring rigor and trust in analyses.

You will manage a team of analysts, mentor their growth, and set standards for data modelling and semantic layers.

Qualifications

  • Directly managed analysts or data professionals as their people manager.
  • Track record mentoring analysts at different levels with measurable growth.
  • Ability to drive team outcomes by owning a backlog and delivering to stakeholders.
  • Strong stakeholder leadership with senior executives and cross-functional partners.
  • Built repeatable AI assets (prompts, agents, pipelines) adopted by teams and validated analyses before stakeholders.
  • Hands-on SQL and data-modelling depth, including semantic layers and agentic analytics workflows.
  • Genuine interest in investing, personal finance, or fintech, with domain curiosity.

Responsibilities

  • Own BI team's backlog and outcomes, translate business needs into prioritised work.
  • Mentor and develop career paths for team members.
  • Set quality bar for SQL, metrics, models, and analyses; maintain single source of truth.
  • Increase team autonomy; handle day-to-day delivery and prioritisation.

Skills

Team leadership
Mentoring
Stakeholder management
SQL proficiency
Data modelling
AI-native leadership
Semantic layers
Python for analysis
Backlog management

Tools

SQL
dbt
Python
Databricks Genie
Semantic layers

Job description

StashAway is seeking a Senior Analytics Manager to lead the BI team, own the backlog, and partner with senior stakeholders across Product, Marketing, Operations and Finance. You will drive AI-native analytics adoption, define high-value analyses, and build reusable AI assets while ensuring rigor and trust in analyses.

You will manage a team of analysts, mentor their growth, and set standards for data modelling and semantic layers.

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