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Data Reporting and Analytics Consultant - Data Science

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Data Reporting and Analytics Consultant , Data Science


Shift: 5:00 PM 2:00 AM or 6:00 PM 3:00 AM IST

Experience : 7- 12 years


Technology Skills:

  • SQL (Expert)
  • Python and/or R (Advanced to Expert)
  • Tableau, Power BI or equivalent business intelligence and visualization platforms (Advanced)
  • Advanced Microsoft Excel, including complex modeling, analysis and reporting (Expert)
  • Predictive modeling and statistical analysis tools (Advanced to Expert) Natural Language Processing (NLP) tools and techniques (Advanced) Voice Analytics, Speech Analytics and Text Analytics platforms (Advanced)
  • Data visualization and dashboard development tools (Expert).

Responsibilities:

  • Apply statistical analysis, predictive modeling, segmentation, forecasting and performance measurement to solve complex business problems.
  • Lead strategic analytics portfolios, programs and large-scale initiatives, including prioritization, stakeholder management and delivery of measurable business outcomes.
  • Design and implement KPI frameworks, scorecards, dashboards and performance measurement strategies that support operational and strategic decision-making.
  • Conduct member experience analytics, including analysis of member effort, repeat callers, repeat complaints, service interactions and operational performance drivers.
  • Apply Voice Analytics methodologies to call recordings, interaction data and member feedback to identify friction points, contact drivers and improvement opportunities.
  • Use NLP and text analytics to analyze call transcripts, complaints, survey comments and other unstructured data.
  • Translate Voice Analytics and NLP findings into actionable business recommendations and present insights to senior leaders and business stakeholders.
  • Consult with senior leaders and cross-functional stakeholders, translating business challenges into actionable analytics strategies and influencing enterprise decision-making.
  • Support campaign analytics, audience segmentation, targeting strategies, engagement measurement and performance optimization.

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