Senior Analytics Manager

Neara; Kuala Lumpur; Hybrid; MYR 180,000 - 300,000; Full time

Benefits offered by this job

ESOPs

Medical coverage

Employee discounts

Hybrid work setup

Remote 8 weeks policy

Unlimited annual leave

Equipment budget

Learning & development budget

Team bonding budget

Off-sites

Job summary

StashAway in Malaysia seeks a Senior Analytics Manager to lead the BI team, own backlog, set priorities, and deliver outcomes with autonomy alongside Head of Data and Data Engineering.

You will drive AI-native analytics, build reusable AI assets, and ensure validated analyses reach stakeholders, elevating company-wide analytics maturity with rigour and trust.

Qualifications

• Managed analysts as a people manager with measurable growth.
• Mentored analysts at multiple levels, enabling promotions.
• Owned backlog, set priorities, and delivered to stakeholders.
• Led AI-native analytics initiatives with reusable assets.
• Hands-on SQL and data modelling to guide decisions.

Responsibilities

• Lead BI leadership, delivery and people management with a clear backlog.
• Define high-value analyses and shape self-serve tooling within BI.
• Partner with Product, Marketing, Operations, Finance and execs.

Skills

People management

Mentoring

Backlog ownership

Stakeholder leadership

AI-native leadership

SQL depth

Data modelling

Fintech interest

Tools

dbt

Semantic layers

Metric governance

Python

Job description

ROLE OVERVIEW

StashAway is one of Southeast Asia's leading digital wealth-management platforms, and our Business Intelligence team helps turn the company's data into decisions. We're looking for Senior Analytics Manager to own and grow that team. Someone already running an analytics or data team who multiplies its impact rather than carrying the work alone. You own the team's backlog and outcomes, set priorities to balance team mandates with day-to-day deliverables, partner with senior stakeholders, and own the final call on contested decisions. Your impact is measured by the team's outcomes, not your individual output.

You'll also propel our AI-native way of working: our analysts already ship validated analyses through AI-assisted SQL, agentic workflows, and natural-language self-serve. You'll deepen that practice; building reusable AI assets the team adopts while holding a high bar for rigour & trust, and operate with real autonomy over roadmap, priorities, partnering with a Head of Data and the Data Engineering team to deliver the BI team's mandate.

KEY RESPONSIBILITIES

1. BI Leadership, Delivery & People Management

• Own the BI team's backlog and outcomes: translate business needs into prioritised work, hold the team to its commitments, and own the final call on contested decisions.

• Own mentoring and career development for everyone on the team: coaching, candid feedback, growth plans, and clear career paths from junior analysts to senior ICs.

• Set and uphold the quality bar for SQL, metrics, models, and analyses; steward a single source of truth with clear definitions and lineage, and good engineering practice (version control, documentation, testing, runbooks).

• Raise the team's autonomy so it runs day-to-day delivery and prioritisation itself, escalating only the strategic calls.

2. AI & Analytics Strategy

• Define the high-value analysis the team invests in versus reactive ad-hoc work, and shape where self-serve tooling fits within BI's scope.

• Propel an AI-native operating model: build reusable AI assets (prompts, agents, pipelines, workflows) that the whole team adopts.

• Govern agentic analytics with evals, guardrails, and human-in-the-loop gates so AI-generated analyses are validated and trusted before they reach stakeholders.

• Drive adoption of AI-powered self-serve analytics (e.g. natural-language analytics like Databricks Genie) to build company-wide analytics capability so functions can answer more of their own questions over time.

3. Stakeholder Management & Business Partnership

• Partner with leaders across Product, Marketing, Operations, Finance and the executive team (among other departments) to align BI priorities with business strategy.
• Own intake and prioritisation across inbound demand, protecting capacity for high-value work; manage capacity and present trade-offs clearly when priorities conflict.
• Publish and maintain a BI roadmap, and turn ambiguous requests into well-scoped problems.

WHAT WE ARE LOOKING FOR

1. Required Experience

• You have directly managed analysts or data professionals as their people manager, owning their performance, growth, and delivery. This is a hard requirement; we are not considering first-time managers.

• A track record of developing people: mentoring and coaching analysts at different levels, with examples of individuals you have measurably grown or promoted.

• Demonstrated ability to drive team outcomes: owning a backlog, setting priorities, and delivering on commitments to stakeholders.

• Strong stakeholder leadership: partnering with senior business and executive stakeholders, managing expectations, and navigating conflicting priorities.

• Demonstrated AI-native leadership: you have built repeatable, reusable AI assets (prompts, agents, pipelines, workflows) that a team adopted, established a validation and quality bar for AI-generated analysis before it reached stakeholders, and driven measurable output or cycle-time gains from AI. Personal tool use alone is not sufficient.

• Enough hands-on SQL and data-modelling depth to set standards, review work, and make the call on contested modelling decisions, including leading a team that works with semantic layers and agentic analytics workflows.

• Genuine interest in investing, personal finance, or fintech, and the curiosity to ramp quickly on the domain.

2. Preferred Experience

• dbt, semantic layers, and metric governance at scale.

• Has designed and operated agentic or MCP-backed analytics workflows in production, including evals, guardrails, and human-in-the-loop gates.

• Python for analysis, automation, or tooling.

• Domain experience in investing, wealth management, or fintech.

ROLE ACCOUNTABILITY

• The AI-augmented Analytics & BI Lead is accountable for the performance, quality, and growth of the Business Intelligence team: its backlog and priorities, the rigour and impact of its analyses, the adoption of AI-native and self-serve ways of working, and the development of every person on the team.

• This includes direct accountability for the performance, growth, retention, and development of every team member, measured by the team's outcomes and the decisions BI enables, not by individual output.

• In return, the role carries real authority: you own the team's roadmap and priorities, hold development authority for the team, and partner with the Head of Data and the Data Engineering team to deliver the BI team's mandate.
  

LIFE AT STASHAWAY

YourGrowth,Rewarded

• Competitivecompensationpackage,includingESOPs(EmployeeStockOptionPlan) forfull-timeemployees.
• ComprehensivemedicalcoverageincludingGP,specialist,hospitalization,surgical,and dentalbenefits.
• EmployeediscountonStashAwayassetmanagementfees.

WorkYourWay

• Flexiblehybridwork setup.
• Work-from-anywherepolicyforupto8weeksannually.
• Unlimitedannualleavebuiltontrust,flexibility,andaccountability.
• Personalworkequipmentbudgettosupportyouridealworkspace.

NeverStopGrowing

• AnnualLearning&Developmentbudgettosupportyourprofessionalandpersonalgrowth.

MoreThanJustColleagues

• Quarterlyteambondingbudgetacrossteamsandfunctions.
• Annualcompanyoff-sites(Q4)focusedonconnection,collaboration andfun.

THESTASHAWAYADVANTAGE

• One of Asia’s leading digital wealth platforms, managing US$1B+ in AUM with strong regional growth
• Regional exposure across Singapore, Malaysia, Hong Kong, Thailand, and MENA markets
• Lean, high-impact culture with strong ownership and opportunity to make meaningful business impact
• Fast-growing fintech backed by top global investors including Sequoia Capital and Eight Roads
• Competitive compensation, ESOP opportunities, performance bonuses, and strong career growth potential