Taguig City, Metro Manila, Philippines

Data & AI & Risk – Data /

Full-time Employee /

Hybrid

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Join the Pioneer Crypto Brand in the Philippines!

Coins is the most established crypto brand in The Philippines and has gained the trust of more than 18 million users. Through the easy-to-use mobile app, users can buy and sell a variety of different cryptocurrencies and access a wide range of financial services.

Coins is fully regulated by the Bangko Sentral ng Pilipinas (BSP) and is the first ever crypto-based company in Asia to hold both Virtual Currency and Electronic Money Issuer licenses from a central bank.

What you'll do

Proactively build and improve the organization's business intelligence platform: organize dashboards, queries, permissions, and data model.
Build reporting pipelines for finance, operations, compliance and other departments.
Analyze large data sets using a variety of database query and visualization tools.
Work closely with Data Architects, Data Scientists, Data Engineers and SRE to deliver data products with quick time-to-market and optimal resources.
Act as data evangelist for business stakeholders.
Drive development of self-service BI platform.
Manage and review product requirements within the team and provide feedback to product management and other stakeholders.
Leverage AI models to enhance data analytics, forecasting, and business intelligence reporting
Utilize AI-powered automation for anomaly detection, trend analysis, and data-driven decision-making.

What we expect from you

High level of interpersonal, communication and stakeholder management skills.
Self-driven with a proven ability to manage time and multiple priorities well
Entrepreneurial with strong business acumen - ability to articulate analyses and translate to actionable business insights.
Basic understanding of AI/ML concepts and how they can be applied to BI and data analytics.

Required Skills And Experience

Advanced data analysis & SQL.
Data modeling for business use cases & self-service.
Administering BI platform, preferably with hundreds of reports & dashboards for 100 users.
Basic experience in developing or fine-tuning AI models for data analysis, forecasting, or anomaly detection.
Good to have: Experience with Python; Experience in data warehouses, data lakes, ETL frameworks, and Apache Spark.
Experience using AI-powered analytics tools for data visualization, sentiment analysis, or predictive modeling is a plus.

Requirements

Bachelor's degree in Finance, Accounting, Statistics, Engineering or other related
Relevant experience and/or strong interest in crypto industry is a big plus
Strong understanding in financial modeling, analysis and planning
High level of interpersonal, communication and stakeholder management skills
Self-driven with a proven ability to manage time and multiple priorities well
Entrepreneurial with strong business acumen - ability to articulate analyses and translate to actionable business insights
Fluent in English for cross-functional communication
Proficient in MS Office (Excel, Powerpoint) and Google Workspace

Join the Coins Team Now!

Meaningful Collaborations - The successful candidate will work cross-functionally with other relevant teams to carry out implementations that will improve and create an impact on customer experience.

Scalable Growth - Be part of a fast-growing organization with the vision to expand its territories outside APAC which will provide opportunities for career advancement.

A Space For Bright Ideas - Let your bright ideas be converted into meaningful changes! Coins culture welcomes new ideas backed up by data to create an impact.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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BI Analyst (PH)