Data Insights & Visualization Analyst – SQL, Python, BI & Dashboards

Accenture; Metro Manila; On-site; PHP 400,000 - 700,000; Full time

Job summary

Accenture in Manila is seeking a Data Analyst to turn complex data into interactive insights. You will wrangle, analyze, and prepare data to deliver timely, actionable findings and build dashboards and BI assets that inform decision making.

You will translate business needs into analytical tasks, use SQL for large datasets, Python or R for deeper analysis and automation, and collaborate with consultants and data engineers to test logic and refine solutions.

Qualifications

• 2+ years in a data or analytics role (customer-facing a plus).
• Strong SQL skills for querying large datasets.
• Working knowledge of BI/reporting tools, data modeling, ETL, and analytical/warehouse architectures.
• Experience with large enterprise datasets and ability to learn internal analytics tools.

Responsibilities

• Wrangle, analyze, and prepare data to deliver relevant, timely, and actionable insights.
• Build and maintain interactive dashboards, reports, and BI artifacts.
• Translate business requirements into analytical tasks, surfacing data gaps or ambiguities.
• Run data extraction, preparation, validation, recurring analysis, testing, and documentation.
• Use SQL to work with large datasets; use Python or R for deeper analysis and automation.
• Build and maintain reports, workflows, and analytical data structures using internal BI tools.
• Use GenAI and AI-powered visualization to enable dialog with data.
• Collaborate with consultants, developers, and data engineers to test logic and refine solutions.

Skills

SQL

Python or R

BI / Reporting tools

Data wrangling

Data analysis

ETL

Tools

Colab

BI visualization tools

Job description

Turn complex data into clear, interactive insights that drive real decisions.

Do you love working with data and telling its story through dashboards and reports? Join Accenture as a Data Analyst and build interactive tools that help businesses understand and act on their data — powered by modern BI and (Gen)AI capabilities.

What You'll Do

• Wrangle, analyze, and prepare data to deliver relevant, timely, and actionable insights

• Build and maintain interactive dashboards, reports, and BI artifacts using modern visualization tools

• Translate business requirements into analytical tasks — surfacing data gaps, issues, or ambiguities

• Run data extraction, preparation, validation, recurring analysis, testing, and documentation

• Use SQL to work with large, complex datasets; use Python or R for deeper analysis and automation

• Build and maintain reports, workflows, and analytical data structures using internal BI tools

• Use and customize(Gen)AI and AI-powered visualization capabilities to enable a dialog with data

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

What You'll Need

• Minimum 2 years (typically 2–3+) in a data or analytics role; customer-facing experience is a plus

• Strong SQL skills for querying large or complex datasets

• Working knowledge of BI/reporting tools, data modeling, ETL, and analytical/warehouse architectures

• Experience with large enterprise datasets and the ability to quickly learn new internal analytics tools

• Python or R (e.g., via Colab) is a strong plus; cloud/GCP exposure is useful but secondary