Data Analytics Specialist: Insight & Process Improvement

WNS

Philippines

On-site

PHP 600,000 - 800,000

Full time

13 days ago

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Job summary

WNS in the Philippines is seeking a Business Analyst to drive data-driven improvements across client operations. You will analyze processes, identify trends, and collaborate with cross-functional teams to deliver actionable insights.

The ideal candidate has 2–5 years in business analysis in a BPO setting, strong data skills (Excel, SQL, Power BI), and excellent communication to interact with stakeholders at all levels.

Qualifications

  • Bachelor’s degree in Business Administration, Finance, Information Technology, or a related field.
  • 2-5 years of experience in business analysis or related roles, preferably in a BPO setting. Analytical
  • Strong ability to analyze data and identify trends, issues, and opportunities.
  • Familiarity with data analysis tools (e.g., Excel, SQL, BI tools) and experience with project management software. Knowledge in Data Visualization tools (e.g Power BI and Looker)
  • Excellent verbal and written communication skills to effectively interact with stakeholders at all levels. Strong critical thinking skills to develop innovative solutions.
  • Knowledge of business operations and workflows to identify areas for improvement.
  • Ability to work collaboratively in cross-functional teams.
  • Meticulous approach to documentation and requirements gathering.
  • Ability to manage changing priorities and work in a fast-paced environment.

Skills

Business Analysis
Data Analysis
Stakeholder Management
Cross-functional
Communication
Critical Thinking
Documentation

Education

Bachelor's degree

Tools

Power BI
Looker
SQL
Excel

Job description

WNS in the Philippines is seeking a Business Analyst to drive data-driven improvements across client operations. You will analyze processes, identify trends, and collaborate with cross-functional teams to deliver actionable insights.

The ideal candidate has 2–5 years in business analysis in a BPO setting, strong data skills (Excel, SQL, Power BI), and excellent communication to interact with stakeholders at all levels.

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