Mi Business Analyst Underwritingschemes Job In London

MI Business Analyst (Underwriting/Schemes) - PIB Group
  • London, England, United Kingdom
  • via J-Vers.com
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Job Description

MI Business Analyst (Underwriting/Schemes)

Job Title:

MI Business Analyst (Underwriting & Schemes)

Business Unit/Department:

Business Change

Location:

Gloucester OR London OR Remote

Reporting to:

Head of Transformation

Job purpose:

The Data and MI Business Analyst will spearhead an initiative across Schemes and Underwriting to map: Current state of data sourcing, transformation, enhancement, lineage and consumption across the department. This work will then inform broader engagement on resolving known data quality concerns, and a Target Operating Model for leveraging our data as an asset in the future.

  • Scope and scale our data model, documenting data sources, ETL processes and stewards and consumers who use the data down and upstream
  • Have exposure to documenting both "current state" processes and using them to design a target operating model, which remediates any obvious weaknesses exposed in the current state mapping process.
  • Work collaboratively with all stakeholders, managing resource to resolve issues and enable success.
  • Leverage tools to visualize data current state, strengths, gaps and weaknesses
  • Identify, acknowledge, and effectively communicate with all stakeholders.
  • Meet all governance and operational requirements ensuring compliance with PIB procedures and Group Best Practice.
Key responsibilities:

Scoping, Documentation and Operating Model
  • Map and document the data model across Underwriting and Schemes, capturing sources, meta information, enrichment, normalization and gap filling.
  • Document the current operating model around data creation, stewarding, quality assurance and consumption, identifying key actors, roles and responsibilities.
Business Benefit & Financial Management
  • Create, contribute to, or ensure there is a valid Business Case for nascent data management projects.
  • Articulate financial and non-financial benefits associated with data remediation / enrichment opportunities.
Risk Management
  • Identify, evaluate, and document data risk to the organization (PII, GDPR, Consumer Duty) - including business risks associated with the current state
  • Develop action plans with associated budget to prevent or mitigate risks to minimize impact to project success.
Stakeholder & Supplier Management
  • Identify and prioritize key stakeholder relationships clearly communicating and managing expectations throughout the project lifecycle.
  • Cultivate collaborative working, building successful relationships to deliver timely effective issue management and facilitating conflict resolution where required.
Governance
  • Deliver as required standard artefacts as needed for data governance - data inventories, lineage, meta information, workflows that follow both data transformation and stewardship and corollary operating model and organization design to support data management
  • Provide timely management reporting via Project Status Reports and project summaries as required.
  • Ensure all data documents created and finalized are formally signed off and shared with stakeholders.
  • Work at all times lawfully and in accordance with pre-defined regulatory, compliance and financial requirements, e.g. Data Protection, Health and Safety, FCA Standards adhering to group/company policy, processes and control frameworks.
Attributes

Skills
  • Organized with the ability to prioritize and allocate workloads where necessary across the project team managing resource constraints and dependencies.
  • Communicates fluently, orally and in writing, and can present complex information to both technical and nontechnical audiences when engaging with colleagues, users/customers, suppliers and partners.
  • Applies a methodical approach to routine and moderately complex data landscapes, evidencing a nuanced understanding of data transformation lifecycle and the value of data quality to management decisioning
  • Makes clear informed decisions which stand up to scrutiny.
  • Absorbs new information when presented and applies it effectively.
  • Exposure to Python/R
  • Track record of 1-2 years in adeptly navigating Power BI, showcasing a mastery of data modelling, DAX, and Power Query
Experience
  • Proven track record of delivering Current and, where feasible, future state operating models and data maps.
  • Successful delivery of robust, detailed and integrated data documentation complete enough to capture detail around key data elements, but abstract enough to inform senior management decisioning
Knowledge
  • Data governance, either gained in insurance or from a BCBS 239 compliant financial services firm
  • Full project lifecycle in business and IT environments.
  • Financial services industry preferably in broker and insurer environments, awareness of products and the regulated environment.
Behaviour
  • Proactive approach, comfortable working autonomously and managing workloads. Happy to perform a range of work, sometimes complex and nonroutine, in a variety of environments.
  • A critical thinker with the ability to successfully manage issues, understand complex situations and deliver solutions.
  • Assertive and confident manner in using remote communications methods.
  • Customer focused with the ability to build excellent rapport with colleagues.
  • Embraces the future and contributes to associated change as PIB develops and grows within an evolving industry.
Qualifications
  • Data, Information or Business analysis certifications
Projects
  • Data transformation program and project work experience
  • Projects to document current state and TOM Data Operating Models (DOM)
  • Projects to capture Data Quality Issues and Remediation Planning
Signed by jobholder:

Date:

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