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Coordinateur Business analyst (Data)

Description de l'emploi - Coordinateur Business analyst (Data)

Nextlink is seeking a Coordinateur Business analyst (Data). As
part of the expansion of its Data & AI division, our client — a leading
player in the insurance industry — is looking for a highly experienced Senior
Data & Information Systems Consultant
to support strategic initiatives
and high -impact business and technology studies.

This role will primarily focus on Data, Artificial
Intelligence, and Information Systems
, while also offering opportunities to
contribute across broader business transformation initiatives within the
organization.

You will work closely with business stakeholders, Data &
AI teams, architects, and project teams to help shape the company’s future Data
and IT landscape.


Key Responsibilities

Data & IT Strategy Definition

  • Contribute
    to the definition and implementation of the company’s Data and Information
    Systems roadmap aligned with business and strategic objectives.
  • Lead
    or contribute to high -value functional studies in collaboration with
    business teams, Business Analysts, architects, and key stakeholders.
  • Gather,
    analyze, and consolidate business requirements and associated challenges.
  • Build
    a functional and application -level vision for the topics under study.
  • Produce
    structured recommendations, target scenarios, and transformation roadmaps.

Functional Studies & Strategic Framing

  • Conduct
    functional and application impact assessments.
  • Prepare
    framing documents and decision -support materials.
  • Present
    analyses, findings, and recommendations to governance bodies such as
    Steering Committees and Executive Committees.

Team Support & Cross -Functional Collaboration

  • Support
    Business Analysts, Data Analysts, and project teams during solution
    implementation.
  • Provide
    a transversal perspective across business, Data, and IT topics.
  • Ensure
    alignment of proposed solutions with enterprise architecture principles
    and target IT architecture.

Data Value & Analytics Enablement

  • Identify
    available data assets and potential business use cases.
  • Define
    and structure business KPIs and performance indicators.
  • Build
    implementation and monitoring plans for analytics and reporting
    initiatives.
  • Contribute
    to initiatives leveraging Data and AI to drive business value and
    operational efficiency.

Candidate Profile

Experience

  • Significant
    experience as a Business Analyst or Senior Consultant (8+ years).
  • Proven
    experience within the insurance industry is essential.


Requirements


Required Skills & Expertise

Business & Functional Expertise

  • Strong
    understanding of business strategy, operational challenges, and enterprise
    information systems.
  • Good
    knowledge of insurance industry domains, including:
    • CRM
    • Property
      & Casualty Insurance (P&C / IARD)
    • Claims
      Management
    • Customer
      Journey & Experience
    • Data
      & Analytics
    • Artificial
      Intelligence

IT & Data Expertise

  • Good
    understanding of Information Systems architecture and enterprise
    urbanization principles.
  • Strong
    experience conducting functional and impact assessments.
  • Knowledge
    of market solutions, enterprise applications, and emerging technology
    trends.
  • Ability
    to bridge business needs, Data challenges, and technology solutions.

Soft Skills

  • Excellent
    analytical and problem -solving capabilities.
  • Strong
    synthesis and communication skills.
  • Ability
    to engage and align diverse stakeholders.
  • Excellent
    presentation and documentation abilities.
  • Comfortable
    interacting with senior business leaders and executive governance bodies.


Benefits

  • Contribute
    to strategic transformation initiatives within a leading insurance
    organization.
  • Work
    on high -impact Data & AI programs with strong business visibility.
  • Collaborate
    with experienced professionals across business and technology domains.
  • Gain
    exposure to innovative Data, Analytics, and AI initiatives.
  • Be
    part of a collaborative and forward -thinking environment that values
    expertise and innovation. 


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