Data Analyst (SQL & Big Data Specialist)

HRTX; Taguig; On-site; PHP 558,000 - 725,400; Full time

Job summary

A leading data solutions provider based in Taguig, Philippines, is seeking a skilled Data Analyst with expertise in SQL and Big Data. The successful candidate will be responsible for querying large datasets and providing insights to guide business decisions. Must possess at least 2 years of experience with SQL and knowledge of tools like Google BigQuery. Strong communication skills and a Bachelor's degree in a relevant field are essential. This role requires both technical skills and the ability to present findings effectively.

Qualifications

• 2+ years of hands-on SQL coding/writing experience, preferably with Big Data platforms.
• Proficiency in Python and/or R for data analysis and automation.
• Strong knowledge of ETL processes, data modeling, and data integration tools.

Responsibilities

• Write and optimize complex SQL queries to analyze large-scale datasets.
• Work with Google Cloud BigQuery for data processing and management.
• Use Python or R for advanced statistical analysis.

Skills

SQL

Big Data

Python

R

Excel

ETL processes

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field

Tools

Google BigQuery

Job description

About the job Data Analyst (SQL & Big Data Specialist)

Job Overview

We are looking for a highly skilled Data Analyst with strong SQL and Big Data expertise to join our team. The role will be responsible for querying and analyzing large datasets, building data models, and providing actionable insights to support business decision-making. The ideal candidate should have solid technical experience in SQL, Google BigQuery, and data analysis tools, combined with strong problem-solving and communication skills.

Key Responsibilities

• Write and optimize complex SQL queries to extract, manipulate, and analyze large-scale datasets.
• Work with Google Cloud BigQuery and other cloud-based tools for data processing and management.
• Use Python or R to perform advanced statistical analysis and build data-driven solutions.
• Leverage Microsoft Excel for data manipulation, reporting, and visualization.
• Develop, maintain, and optimize ETL processes for efficient data integration and transformation.
• Build segmentation models and conduct in-depth analysis to identify trends, opportunities, and insights.
• Present findings in a clear, concise manner to stakeholders through reports, dashboards, and presentations.
• Collaborate with cross-functional teams to support business initiatives and decision-making.

Qualifications

• Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or related field.
• At least 2+ years of hands-on SQL coding/writing experience, preferably with Big Data platforms such as Google BigQuery.
• Proficiency in Python and/or R for data analysis and automation.
• Strong knowledge of ETL processes, data modeling, and data integration tools.
• Familiarity with segmentation models, statistical methods, and data visualization techniques.
• Strong analytical thinking, problem-solving skills, and ability to translate data into actionable insights.
• Excellent communication and presentation skills.