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Mid-level, common Data Analyst title, metro location, and generalist skillset drive high applicant competition.
Core data analytics skills transfer across industries, but call-centre analytics preference reduces portability slightly.
Explicit 3–5 year requirement plus mandatory Power BI, SQL, and R/Python skills increase shortlisting strictness.
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Support Australian clients by delivering performance analytics and quality assurance insights to improve call centre operations.
Develop and maintain Power BI dashboards and reporting frameworks for call centre performance visibility.
Translate complex data into clear narratives to inform client decision-making and collaborate with data science and consulting teams.
3–5 years experience in data analyst or analytics role, preferably in BPO, call centre, or customer experience.
Proficiency in Power BI and SQL; strong skills in R (preferred) or Python for large dataset analysis.
Graduate degree required.
Location: Thane, India (IND Thane - 11th Floor G-Corp Tech Park Ghodbunder Road).
Experienced in call centre or BPO analytics environment with understanding of quality assurance frameworks.
Skilled in descriptive and diagnostic analytics, root-cause analysis, and data storytelling for non-technical audiences.
Collaborative and able to work effectively within teams; familiar with tools like Amazon Connect Customer Profiles, Genesys Cloud CX, and open-source interactive tools (Shiny or Dash preferred).