Data Insights And Visualization Practition

Accenture in the Philippines; Philippines; On-site; PHP 600,000 - 900,000; Full time

Job summary

Accenture in the Philippines seeks a data analytics professional to translate requirements into analytical tasks and surface data gaps for resolution. You will wrangle, analyze, and prepare data to deliver timely, actionable insights through dashboards and reports.

Proficiency in SQL and BI tools is required, with Python or R via Colab for deeper analysis. Experience with data modeling, ETL, and enterprise datasets is a plus, along with familiarity with PLX tools.

Qualifications

• 2–3+ years in a data analytics role or similar.
• Customer-facing experience is preferred.
• Strong SQL skills and experience with BI/reporting tools.
• Experience with data modeling, ETL, and warehousing architectures.
• Familiarity with large enterprise datasets and Google analytics tools.
• Python or R via Colab is a strong plus; knowledge of PLX is beneficial.

Responsibilities

• Translate requirements into analytical tasks and surface data gaps for resolution.
• Perform data extraction, preparation, validation, and dashboard maintenance.
• Write SQL and use Python/R in Colab for deeper analysis or automation.
• Build and maintain reports, dashboards, workflows, and analytical data structures using PLX and internal tools.

Skills

SQL

Python

R

Colab

BI tools

Data modeling

ETL

Data warehousing

GCP

Analytics

Tools

PLX

Job description

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.

Professional & Technical Skills

• Collaborate with consultants, developers, and data engineers to test logic, document assumptions, and refine solutions.
• 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