BI Analyst: Turn Data into Strategic Insights & Dashboards

Coins.ph

Padang Tengku

On-site

MYR 70,000 - 110,000

Full time

14 days+

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Job summary

Coins.ph is seeking a talented Business Intelligence (BI) Analyst to join our growing BI team in Malaysia. You will transform data into actionable insights, partnering with Product, Operations, Finance, Risk, and Data Engineering to drive data-informed decisions across the organization.

The ideal candidate is analytical, business-oriented, and thrives in a fast-paced fintech environment. Experience in cryptocurrency or data-intensive industries is highly preferred, with strong SQL, Tableau/Power

Qualifications

Bachelor's degree in a quantitative field.
3+ years of experience in BI, Data Analytics, or similar roles.
Advanced SQL skills with joins, window functions, CTEs, optimization.
Hands-on experience with Tableau, Power BI, or equivalent.
Experience partnering with Data Engineering teams and data warehousing concepts.
Excellent analytical, communication, and stakeholder management skills.

Responsibilities

Partner with business stakeholders to understand analytical requirements and translate them into scalable reporting and dashboard solutions.
Design, develop, and maintain dashboards and self-service reporting using Tableau or other BI tools.
Write efficient and optimized SQL to extract, transform, and analyze large-scale datasets.
Work closely with Data Engineering teams on data modeling, ETL pipelines, metric implementation, and data quality improvements.
Define, maintain, and govern business KPIs and metric definitions to ensure consistency across teams.
Perform ad hoc analyses to identify business opportunities, operational issues, and performance drivers.
Monitor key business metrics, investigate anomalies, and provide timely insights and recommendations.
Support business initiatives through performance analysis, experimentation, and strategic reporting.
Present analytical findings clearly to both technical and non-technical stakeholders.
Continuously improve reporting automation, analytical processes, and data governance.