Data Insights & Visualization Practition

Accenture in the Philippines; Taguig; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Accenture in the Philippines is seeking a data analytics professional to translate business requirements into actionable analytical tasks and deliver reliable insights. You will extract, prepare, validate data, build dashboards, and collaborate with consultants, developers, and data engineers to refine solutions using SQL, PLX, Python or R in Colab, and BI tools.

Experience with large enterprise datasets and a solid grounding in data modeling and ETL are valued as you contribute to timely,

Qualifications

• Typically 2-3+ years in a data/analytics role; customer-facing experience preferred.
• Strong SQL and working knowledge of BI/reporting tools.
• Experience with large enterprise datasets and familiarity with PLX and internal Google analytics tools.
• Python or R, typically via Colab; exposure to GCP is useful but secondary.

Responsibilities

• Translate defined requirements into analytical tasks; surface gaps, data issues, or ambiguity for resolution.
• Execute data extraction, preparation, validation, recurring analysis, testing, documentation, reporting, and dashboard maintenance.
• Use SQL to work with large or complex datasets; use Python or R in Colab when deeper analysis or automation is needed.
• Build and maintain reports, dashboards, workflows, and analytical data structures using PLX and other internal tools.
• Collaborate with consultants, developers, and data engineers to test logic, document assumptions, and refine solutions.

Skills

SQL

BI tools

ETL

Data modeling

Python

R

Colab

GCP

Tools

PLX

Job description

Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data.

Roles & Responsibilities

• Translate defined requirements into analytical tasks; surface gaps, data issues, or ambiguity for resolution.
• Execute data extraction, preparation, validation, recurring analysis, testing, documentation, reporting, and dashboard maintenance.
• Use SQL to work with large or complex datasets; use Python or R in Colab when deeper analysis or automation is needed.
• Build and maintain reports, dashboards, workflows, and analytical data structures using PLX and other internal tools.
• Collaborate with consultants, developers, and data engineers to test logic, document assumptions, and refine solutions.

Professional & Technical Skills

• Typically 2-3+ years in a data, analytics role; customer-facing experience is preferred.
• Strong SQL; working knowledge of BI/reporting tools, data modeling, ETL, and analytical or warehouse architectures.
• Experience with large enterprise datasets and the ability to quickly learn PLX and other internal Google analytics tools.
• Python or R, typically through Colab, is a strong plus; GCP tool exposure is useful but secondary. Minimum 2 year(s) of experience is required