Data Analyst

Private Advertiser; Quezon City; On-site; PHP 420,000 - 660,000; Full time

Job summary

Private Advertiser is seeking a Data Analyst to collect, clean, analyze, and visualize data to inform business decisions, typically using SQL, Excel, Python, and BI tools such as Tableau or Power BI.

The role involves transforming raw data into actionable insights, building dashboards, and presenting findings to stakeholders across teams. You will collaborate with cross‑functional colleagues to ensure data accuracy and drive strategic initiatives.

Qualifications

• Translates raw data into actionable insights for business strategy.
• Proficient in data visualization and storytelling with data.
• Strong problem-solving and critical thinking skills.

Responsibilities

• Collect and organize data from databases, spreadsheets, and third‑party tools.
• Clean and validate datasets, resolving missing values, duplicates, and inconsistencies.
• Write SQL queries to extract and transform data.
• Perform statistical analyses (descriptive statistics, correlation, regression, A/B testing).
• Build dashboards and reports using Tableau, Power BI, or similar tools.
• Identify trends, patterns, and anomalies in large datasets.
• Present findings to technical and non‑technical stakeholders.
• Collaborate with cross‑functional teams to define data requirements.
• Maintain data accuracy, consistency, and integrity across system

Skills

Data analysis

Data visualization

Data cleaning

Stakeholder communication

Tools

SQL

Python

Tableau

Power BI

Excel

Job description

A Data Analyst collects, cleans, analyzes, and visualizes data to help organizations make informed decisions, typically using SQL, Excel, Python, and BI tools such as Tableau or Power BI.

Overview

A Data Analyst transforms raw data into actionable insights that support business strategy, operational improvements, and performance tracking. They work across industries such as tech, finance, healthcare, and biotech.

Key Responsibilities

• Collect and organize data from databases, spreadsheets, and third‑party tools.

• Clean and validate datasets, resolving missing values, duplicates, and inconsistencies.

• Write SQL queries to extract and transform data.

• Perform statistical analyses (descriptive statistics, correlation, regression, A/B testing).

• Build dashboards and reports using Tableau, Power BI, or similar tools.

• Identify trends, patterns, and anomalies in large datasets.

• Present findings to technical and non‑technical stakeholders.

• Collaborate with cross‑functional teams to define data requirements.

• Maintain data accuracy, consistency, and integrity across system