AI & Data - Data Insights & Visualization Practitioner (NIGHTSHIFT)

Quess Philippines Corp.; Taguig; Hybrid; PHP 558,000 - 893,000; Full time

Job summary

Quess Philippines Corp. is seeking a data analytics professional to execute structured analytical tasks within one or more pods under guidance.

The role involves translating requirements into analytics work, performing data extraction, validation and dashboard maintenance using SQL, Python or R in Colab, and PLX.

Qualifications

• Bachelor's degree in a technical or quantitative field or equivalent practical experience.
• Typically 2-3+ years in data analytics, analytics or supply chain analytics roles; customer-facing experience preferred.
• Strong SQL; working knowledge of BI/reporting tools, data modeling, ETL, and analytical/warehouse architectures.
• Experience with large enterprise datasets and ability to learn PLX and internal Google analytics tools.

Responsibilities

• Clarify business objectives, constraints, requirements, and decision needs with clients.
• Translate requirements into analytical tasks and surface data gaps for resolution.
• Perform data extraction, preparation, validation, recurring analysis, testing, documentation, reporting and dashboard maintenance.
• Use SQL to handle large datasets; use Python or R in Colab for deeper analysis or automation.
• Build and maintain reports, dashboards, workflows, and analytical data structures using PLX and internal tools.
• Collaborate with consultants, developers, and data engineers to test logic and refine solutions.
• Manage tasks, communicate progress, and present findings for defined areas of responsibility.

Skills

SQL

Python

BI

ETL

Education

Bachelor's degree in a technical or quantitative field

Tools

PLX

Colab

GCP

Job description

Detailed Job Description

Execute structured, well-defined analytical tasks and foundational delivery activities within one or more pods, under the direction of consultants and managers.

Core Responsibilities

• Support consultants and managers in clarifying business objectives, constraints, requirements, and decision needs.
• 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.
• Manage assigned tasks, communicate progress, and present findings for well-defined areas of responsibility.

Qualifications

• Bachelor's degree in a technical or quantitative field, or equivalent practical experience.
• Typically 2-3+ years in a data, analytics, or supply chain 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.
• Supply chain, inventory, logistics, or operations experience is preferred but not mandatory for exceptional analytical candidates.

Must have and Good to have skills

Strong SQL coding, Python, BI, ETL

Number of years experiences needed: At least 3 years

Client: Accenture

Shift Schedule: 11pm to 9am

Work Set up: Hybrid

Number of days in a month or week that needs to be in the office: 2x a week

Project Location (During onsite): Uptown 2

Primary POC/Hiring Manager: mae.santos-trinidad

Are you accepting undergraduate/combo fit profile? Yes

Is there an intent to absorb the contractor in the future? Yes

Employment Type: 6 months to 1 year project-based contract subject for extension or absorption depending on performance.