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Senior Data Analyst at Paynamics

Makati, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

0.0

Posted On

28 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Matlab, Tableau, Power BI, Qlik, Snowflake, Databricks, Google Big Data, Predictive Modeling, Data Visualization, Data Governance, Process Optimization, Market Research, Relational Databases

Industry

Financial Services

Description

Key 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. 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.

Responsibilities

The role involves building predictive models and dashboards to drive business improvements and a data-centric culture. It also requires collaborating with stakeholders and marketing to deliver actionable insights and optimize processes.