Senior Data Analyst

Paynamics Technologies Inc.; Makati; Hybrid; PHP 700,000 - 1,200,000; Full time

Job summary

Paynamics Technologies Inc. in Makati City seeks a Senior Data Analyst to help drive a data-centric culture. You will collaborate with leadership to develop predictive models and dashboards, guiding strategic decisions with insights from trends and market analyses.

You will deliver actionable recommendations to stakeholders, maintain data quality and governance, and work across marketing, product, and operations to optimize processes. Hybrid setup in Metro Manila.

Qualifications

• Bachelor's degree in a data-related field.
• 3–5 years of experience in a Data Analyst or Data Scientist role.
• Strong SQL and relational database knowledge.
• Proficiency in Python, R, or Matlab.
• Experience with data visualization tools (Tableau, Power BI, Qlik).
• Familiarity with data lake platforms (Snowflake, Databricks, Google Big Data).
• Strong problem-solving, multi-tasking, and communication skills.

Responsibilities

• 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.

Skills

SQL & Relational DBs

Python/R

Data Visualization

Communication

Critical thinking

Education

Bachelor's degree in Data Science, Computer Science, IT, or related field

Tools

Tableau

Power BI

Qlik

Snowflake

Databricks

Google BigQuery

Job description

Join Our Team at Paynamics Technologies Inc.!

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

By applying, you authorize the company to process your personal information solely for recruitment purposes, in accordance with applicable data protection regulations.