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Capgemini

FBS Data Analyst (NLP / AI Conversational)

Posted 8 Days Ago
Remote
3 Locations
Mid level
Remote
3 Locations
Mid level
The role involves building and automating dashboards, managing data extraction, quality, and reporting. It also requires creating NLP solutions for customer interaction insights.
The summary above was generated by AI
Description

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world

What to expect on your journey with us:

  • A solid and innovative company with a strong market presence
  • A dynamic, diverse, and collaborative work environment
  • Leaders with deep market knowledge and strategic vision

We count on you for:

  • Build and automate dashboards and reports, especially related to Uniphore transcription data.
  • Understand business goals, gather requirements, and communicate effectively about what data is available or limited.
  • Extract and manipulate data using SQL, Cognos ReportNet, OBIEE Answers, and Google Looker.
  • Ensure data quality, contribute to testing and implementation for system upgrades or changes, and analyze the impact on data/reporting.
  • Act as a liaison between business and IT, resolving data-related technical issues collaboratively.
  • Create NLP to generate insights into transcribed customer interactions.
Requirements
  • Bachelor’s degree in a relevant field.
  • Strong proficiency in SQL (programming, modeling, and handling complex queries).
  • Advanced knowledge of MS Excel (baselines, reporting).
  • Familiarity with business analysis tools such as Google Data Studio/Looker, Power BI, or Cognos.
  • Experience with transcription data analysis platforms such as Uniphore, AWS Connect or similar tool
  • Expertise in Natural Language Processing (NLP) techniques and data extractions.
Benefits

This position comes with competitive compensation and benefits package:

  1. Competitive salary and performance-based bonuses
  2. Comprehensive benefits package
  3. Career development and training opportunities
  4. Flexible work arrangements (remote and/or office-based)
  5. Dynamic and inclusive work culture within a globally renowned group
  6. Private Health Insurance
  7. Pension Plan
  8. Paid Time Off
  9. Training & Development

Top Skills

Aws Connect
Cognos Reportnet
Google Looker
Excel
Natural Language Processing
Obiee Answers
SQL
Uniphore

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