Senior Data Analyst
Summary
Senior Data Analyst at Paynamics, a BSP-licensed Philippine payments/fintech company, working hybrid from Makati City. Day to day: build predictive models and dashboards, analyze trends and risks, deliver insights to stakeholders, and ensure data quality and InfoSec compliance using SQL, Python/R, and BI tools like Tableau or Power BI.
Join Our Team at Paynamics Technologies Inc.!
Company Description
As a BSP-licensed Electronic Money Issuer and Registered Operator of Payment Systems, Paynamics is a trusted leader in the fintech space.
We deliver end-to-end payment infrastructure that empowers every layer of the economy—from SMEs and conglomerates to government agencies and financial institutions. Whether it's payment acceptance, disbursement, or full wallet ecosystems, our modular platforms are designed to address the complexities of scale, compliance, and interoperability.
Through our secure and innovative technologies, we help shape and empower the Philippines' digital landscape—driving financial inclusion, enabling digital transformation, and building a more connected, digital-first economy.
Job Title: Senior Data Analyst
Location: Makati City
Work Set-up: Hybrid
Job Description
- Collaborate with leadership to foster a data-centric culture.
- Build and deploy predictive models and compelling data visualizations.
- Analyze trends, risks, and opportunities to drive business improvements.
- Deliver actionable insights and recommendations to stakeholders.
- Develop and maintain performance dashboards for operational support.
- Conduct market and industry research to guide strategic planning.
- Partner with marketing to create data-driven customer engagement strategies.
- Lead initiatives for process optimization through advanced analytics.
- Ensure data quality, governance, and compliance with InfoSec standards.
Qualifications
- Bachelor's degree in Data Science, Computer Science, IT, or a related field.
- 3-5 years of experience in a Data Analyst or Data Scientist role.
- Strong command of SQL and relational databases (Oracle, MySQL, PostgreSQL, MS SQL).
- Proficiency in Python, R, or Matlab.
- Experience with visualization tools (Tableau, Power BI, Qlik).
- Familiarity with data lake platforms (e.g., Snowflake, Databricks, Google Big Data).
- Strong problem-solving, multi-tasking, and communication skills
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