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Business Analyst (BA) for Claims AI Projects- Fixed Term contract, London

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Business Analyst (BA) for Claims AI Projects- Fixed Term contract, London
Chubb
City Of London
In loco
GBP 50.000 - 70.000
Tempo pieno
2 giorni fa
Candidati tra i primi

Descrizione del lavoro

A leading insurance company is seeking a skilled Business Analyst for Claims AI projects to bridge business and technical teams, improve claims processing, and enhance customer experience. This role requires deep knowledge of claims processes and AI technologies, with 3+ years experience preferred. The candidate will be pivotal in gathering requirements and optimizing workflows. A competitive compensation package is offered.

Competenze

  • 3+ years of experience as a Business Analyst in insurance or technology.
  • Experience with AI or data-driven projects is highly desirable.
  • Strong problem-solving and analytical skills.

Mansioni

  • Gather and analyze business requirements for AI solutions.
  • Collaborate with stakeholders to improve claims processes.
  • Validate AI models against business requirements.

Conoscenze

Understanding of claims processes
Familiarity with machine learning
Strong communication skills
Proficiency in JIRA
Analytical skills
Ability to work in a team

Formazione

Bachelor’s degree in relevant field
Master’s degree

Strumenti

JIRA
Tableau
Power BI
Confluence
Visio
Descrizione del lavoro
Job Description: Business Analyst (BA) for Claims AI Projects
Position Overview

We are seeking a skilled and detail-oriented Business Analyst (BA) to join our team and contribute to the successful delivery of Claims AI projects. The ideal candidate will act as a bridge between business stakeholders and technical teams, ensuring that AI-driven solutions for claims processing align with business goals, improve operational efficiency, and enhance customer experience. This role requires a strong understanding of claims processes, AI technologies, and the ability to translate business needs into actionable requirements.

Key Responsibilities
  • Requirements Gathering and Analysis:
    • Collaborate with business stakeholders to understand and document current claims processes, pain points, and opportunities for improvement.
    • Elicit, analyze, and prioritize business requirements for AI-driven claims solutions.
    • Translate business needs into functional and non-functional requirements for the technical team.
  • Stakeholder Collaboration:
    • Act as the primary liaison between business teams, data scientists, AI developers, and other technical teams.
    • Facilitate workshops, meetings, and discussions to ensure alignment on project goals and deliverables.
    • Communicate complex technical concepts in a clear and concise manner to non-technical stakeholders.
  • Process Mapping and Optimization:
    • Analyze existing claims workflows and identify areas where AI can add value (e.g., fraud detection, claims automation, predictive analytics).
    • Develop process maps and recommend optimized workflows incorporating AI solutions.
  • AI Solution Design and Validation:
    • Work closely with AI and data science teams to define use cases, data requirements, and success metrics for AI models.
    • Validate AI models and solutions to ensure they meet business requirements and deliver expected outcomes.
    • Collaborate on testing and quality assurance to ensure the accuracy and reliability of AI outputs.
  • Project Management Support:
    • Assist in project planning, timelines, and deliverables to ensure on-time delivery of Claims AI projects.
    • Track and report on project progress, risks, and issues to stakeholders.
  • Change Management and Training:
    • Support the adoption of AI solutions by creating user guides, training materials, and conducting training sessions for end-users.
    • Address user concerns and feedback to ensure smooth implementation and integration of AI solutions.
  • Continuous Improvement:
    • Monitor the performance of AI solutions post-implementation and recommend enhancements based on user feedback and performance metrics.
    • Stay updated on industry trends, emerging AI technologies, and best practices in claims processing.
Qualifications
  • Education:
    • Bachelor’s degree in Business Administration, Computer Science, Data Science, or a related field. A Master’s degree is a plus.
  • Experience:
    • 3+ years of experience as a Business Analyst, preferably in insurance, claims processing, or AI/technology projects.
    • Experience working on AI or data-driven projects is highly desirable.
  • Skills:
    • Strong understanding of claims processes and insurance industry practices.
    • Familiarity with AI concepts such as machine learning, natural language processing, and predictive analytics.
    • Proficiency in business analysis tools (e.g., JIRA, Confluence, Visio) and data visualization tools (e.g., Tableau, Power BI).
    • Excellent communication, problem-solving, and analytical skills.
    • Ability to work in a fast-paced, cross-functional team environment.
  • Certifications (Preferred):
    • Certified Business Analysis Professional (CBAP) or equivalent.
    • Agile or Scrum certifications (e.g., Certified Scrum Master, PMI-ACP).
Key Competencies
  • Strong analytical mindset with the ability to identify patterns and insights from data.
  • Ability to manage multiple priorities and deliverables simultaneously.
  • Strong interpersonal skills to build relationships with diverse stakeholders.
  • A proactive approach to problem-solving and a passion for leveraging technology to drive business outcomes.

This role offers an exciting opportunity to work at the intersection of business and technology, driving innovation in claims processing through AI. If you are passionate about transforming traditional processes with cutting-edge solutions, we encourage you to apply!

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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