Hybrid Data Analyst — SQL, Python, ETL & BI Dashboards

Rising Tide Digital, Inc.; Philippines; Hybrid; PHP 350,000 - 550,000; Full time

Job summary

Rising Tide Digital, Inc. is seeking a Data Analyst to extract, clean, and analyze data using SQL and Python in a hybrid setup in the Philippines. The role involves building dashboards with Power BI/Tableau or Oracle Analytics Cloud and designing ETL processes that integrate REST APIs.

The ideal candidate has 3–5 years of experience, strong SQL, ETL, and Python skills, and can work both onsite and from home three days a week. Proficiency with BI tools is preferred.

Qualifications

• Bachelor’s degree in IT, Computer Science, Engineering, or related field
• 3–5 years of experience as a Data Analyst or similar role
• Experience in ETL and Python
• Strong SQL skills for data extraction and analysis
• Experience with Power BI, Tableau, or Oracle Analytics Cloud (preferred)
• Candidate must be amenable to work Hybrid set up 3 days onsite, 2 days WFH

Responsibilities

• Extract, clean, and analyze data using SQL and Python.
• Develop dashboards and reports using Oracle Analytics Cloud (preferred), Power BI, or Tableau.
• Design and maintain ETL processes, including integrating data from REST APIs.
• Support data orchestration workflows using Oracle Data Integrator or Apache Airflow (preferred).
• Collaborate with business and technical teams to understand reporting and analytics requirements.

Skills

SQL

Python

Data analysis

Education

Bachelor’s degree in IT/CS/Engineering

Tools

Power BI

Tableau

Oracle Analytics Cloud

ETL

REST APIs

Oracle Data Integrator

Apache Airflow

Job description

Rising Tide Digital, Inc. is seeking a Data Analyst to extract, clean, and analyze data using SQL and Python in a hybrid setup in the Philippines. The role involves building dashboards with Power BI/Tableau or Oracle Analytics Cloud and designing ETL processes that integrate REST APIs.

The ideal candidate has 3–5 years of experience, strong SQL, ETL, and Python skills, and can work both onsite and from home three days a week. Proficiency with BI tools is preferred.