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Job Title:
Data AnalystJob Description
We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.Key Responsibilities
Source, combine, prepare and analyse large datasets efficiently using tools that enables data scalability
Conduct descriptive and diagnostic analytics to identify performance trends, attributes, and improvement opportunities
Develop and maintain Power BI dashboards and reporting frameworks that provide clear, timely visibility of call centre performance
Support quality assurance analytics by analysing call centre agent performance data and surfacing actionable insights
Perform root-cause analysis on operational and customer experience issues to inform client decision-making
Translate complex data into compelling, clear narratives for client stakeholders through effective data storytelling
Collaborate with the Data Science team and client-facing consultants to align analytical outputs with client objectives
Location:
PHL Muntinlupa - Alabang 3Language Requirements:
Time Type:
Full timeConcentrix was founded in 1983, its heritage can be traced back to 1973 to its insurance administration business solutions and services which were acquired in 2013 by Concentrix from IBM.Concentrix has grown through multiple acquisitions bringing on board eight companies since 2006. Two of the acquisitions that are especially notable include the IBM Worldwide Customer Care Services Business(known as IBM Daksh) and the Minacs Group Pte.
Job ID: 149983413
Skills:
Data Management, Sas Programming, Windows operating systems, Good Laboratory Practices, Software Configuration and Validation, Regulatory Compliance, Microsoft Office Applications, Quality Control
Skills:
google sheets , Microsoft Excel, CSV files, Amazon Seller Central
Skills:
Git, Apis, Microsoft Power Bi, Postman, Microsoft Excel, Power Query, Python, Sql, AI tools, ETL processes
Skills:
Macro, Data Manipulation, data mining, complex formula, business reporting tools, Analysis, Reporting
Skills:
Apis, Power Bi, Excel, warehouse systems, Powerpoint
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