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Metro location, common Data Analyst title, 3–5 year band, and generalist Power BI/SQL/R requirements increase competition.
Core analytics skills are transferable but call-centre QA domain experience creates moderate industry specificity.
Explicit 3–5 years and mandatory Power BI/SQL plus R/Python skills create medium strictness.
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Support Australian clients by delivering performance analytics, quality assurance insights, and data-driven narratives to enhance call centre operations and customer outcomes.
Prepare and analyze large datasets using Power BI, SQL, and R/Python to identify performance trends and opportunities for improvement.
Develop and maintain dashboards, perform root-cause analysis, and collaborate with Data Science and client teams to align analytics with business objectives.
3–5 years of experience in data analyst or analytics role, preferably in BPO, call centre, or customer experience environment.
Proficiency in Power BI and SQL; strong skills in R (preferred) or Python for large dataset analysis.
Graduate degree.
Work Experience Required: 3–5 years.
Experienced in call centre or customer experience analytics within a BPO or similar environment.
Skilled in descriptive and diagnostic analytics with ability to conduct root-cause analysis and performance reporting.
Capable of translating complex data into clear narratives for non-technical client stakeholders and collaborating effectively with team members and consultants.