Senior Data Analyst

Paynamics; Philippines; On-site; PHP 350,000 - 700,000; Full time

Job summary

Paynamics in the Philippines is seeking a data-focused analyst/scientist to drive data-driven decision making. You will build predictive models, create engaging dashboards, and deliver actionable insights to stakeholders across the business.

The role requires strong SQL, Python/R skills, and experience with Tableau or Power BI, plus knowledge of data lake platforms; you will collaborate with marketing and leadership to optimize processes and governance.

Qualifications

• Bachelor's degree in data-related field.
• 35 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.

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

Python

R

communication

problem solving

Education

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

Tools

Tableau

Power BI

Qlik

Snowflake

Databricks

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.

35 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.