Business Intelligence Analyst

BonusLink

Petaling Jaya

On-site

MYR 60,000 - 120,000

Full time

14 days+

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Job summary

BonusLink seeks a data-driven BI professional to join a lean team spanning BI, Data Science and Data Engineering, reporting to Head of Data. You will collaborate with a Senior Data Engineer, a BI Engineer, and stakeholders across Marketing, Finance, Operations, Product and Management.

This business-facing role emphasizes curiosity, analytical thinking and communication as much as SQL. You will contribute to a Medallion architecture on AWS/GCP and help deliver trusted datasets, dashboards and

Qualifications

  • 3+ years of experience in BI, reporting or analytics.
  • Strong SQL skills and data accuracy.
  • Ability to translate business questions into reporting solutions.
  • Excellent communication and stakeholder management abilities.

Responsibilities

  • Deliver business insights by analysing data to identify trends and drivers.
  • Build dashboards and reports, KPI tracking on trusted Gold-layer datasets.
  • Partner with Finance, Marketing, Product and Operations to gather requirements.
  • Perform ad-hoc analysis and communicate findings with actionable recommendations.
  • Ensure reporting accuracy and collaborate with BI Engineering to resolve data issues.
  • Document metrics definitions, reporting logic and business documentation.
  • Promote self-service analytics and empower business users with accessible insights.
  • Present findings to technical and non-technical stakeholders.

Skills

SQL
BI Analytics
Stakeholder Mgmt
Communication
Data Modeling
Python

Education

Bachelor's degree in related field

Tools

BigQuery
Athena
dbt

Job description

You'll be joining a lean data team spanning BI, Data Science, and Data Engineering — reporting directly to the Head of Data.

You'll work alongside:

  • A Senior Data Engineer who builds our ingestion platform
  • A BI Engineer who delivers trusted analytical datasets
  • Business stakeholders across Marketing, Finance, Operations, Product and Management

This is a business-facing role where curiosity, analytical thinking and communication are just as important as SQL skills.

We're migrating to a Medallion architecture (Bronze - Silver - Gold) across AWS and GCP:

Our core stack: Dagster (orchestration) - dbt (transformation) - Athena + S3 (AWS query layer) - BigQuery (GCP warehouse) - Redash (BI serving)

What You'll Be Doing

  • Deliver business insights — Analyse data to identify trends, opportunities and performance drivers across the business.
  • Build dashboards and reports — Develop and maintain dashboards, recurring reports and KPI tracking using trusted Gold-layer datasets.
  • Partner with stakeholders — Gather reporting requirements from Finance, Marketing, Product and Operations, translating business questions into analytical solutions.
  • Perform ad-hoc analysis — Investigate business questions, validate assumptions and communicate findings with clear recommendations.
  • Ensure reporting accuracy — Validate reports, investigate discrepancies and work closely with BI Engineering to resolve data issues.
  • Document business metrics — Help define KPI definitions, reporting logic and business documentation.
  • Promote self-service analytics — Improve reporting usability and empower business users with accessible, reliable insights.
  • Communicate effectively — Present findings to both technical and non-technical stakeholders, turning data into actionable business recommendations.

What We're Looking For

Must-Have

  • 3+ years of experience in Business Intelligence, Reporting, Analytics or a related role
  • Strong SQL skills with experience querying large datasets
  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder management abilities
  • Experience translating business requirements into reporting solutions
  • High attention to detail and a strong focus on data accuracy

Nice-to-Have

  • Experience with BigQuery, Athena or cloud data warehouses
  • Basic Python for analysis or automation
  • Knowledge of data modelling concepts
  • Familiarity with dbt and modern analytics workflows
  • Experience in loyalty, retail, fintech or high-volume transaction environments
  • Understanding of experimentation, customer analytics or campaign analysis

Qualifications

  • Bachelor's degree in Business Analytics, Information Systems, Computer Science, Statistics, Mathematics or a related field (or equivalent practical experience)
  • 3+ years of relevant BI or analytics experience
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