Operations Data Analyst

hace 7 días

Madrid, Madrid, España Chubb INA Holdings Inc. A tiempo completo

Role Purpose:

  • The Operations Data Analyst will own the analysis and reporting of the data coming out of operational processes impacted by digital initiatives. They will own the underlying data, advise on transformational change, continuous improvement, and help oversee the provision of operational insights to help improve service delivery and the adoption of target state ways of working driven by the underlying data.
  • The role has a primary focus around Operational Digital Process with specific focus on Submission Ingestion.
  • To achieve this the individual will;
  • Identify innovation and continuous improvement ideas, prioritise and manage implementation for the EMEA Submission Desk and CE Online Team Manager
  • Introduce and subsequently analyse process metrics, staffing models, process controls etc. and make suggestions to the EMEA Submission Desk and CE Online Team Manager for improvements
  • Manage the userstories required for the build board, participate in grooming calls and user acceptance testing
  • Maximise potential of IT deliveries by acting as link between business and technology
  • Formulate process and training documentation.
  • Analyse trends with the help of available metrics and make suggestions to enhance the Machine Learning Model

Key responsabilities:

  • Business Data Analyst (70%)
  • Build appropriate data assets to support analysis.
  • Prototype solutions to explore business hypothesis in an agile and iterative way which supports a learn fast/fail fast methodology.
  • Communicate findings and results of these initiatives back to the key stakeholders
  • Visualise and share insight in readily consumable formats for a nontechnical audience.
  • Maintain effective relationships with immediate team members, peers, and immediate customers.
  • Work with more senior team members to distil insights and findings into clear user stories that are relevant to the business.
  • Ensure Business area risk responsibilities are understood
  • Act as link between business and technology, able to offer solutions to business issues
  • Provide regular progress reports to the relevant governance and steering groups
  • Analyse and document the relevant business processes identifying opportunities to streamline activities and reduce duplication of effort
  • Use a data led approach to analysis and identify and interpret trends or patterns in complex data sets to help define new process
  • Know-How & Standards (20%)
  • Coordinate the development and maintenance of standard operating procedures and guides to drive adoption of best practice ways of working across the team.
  • Coordinate the development of new user stories in the sprint backlog
  • Map digital processes according to the defined rules and standards
  • Ensure process documents and data mapping tables remain applicable and are kept up to date in the central shared repository
  • Continuous Improvement & Projects (10%)
  • Provide suggestions for further future improvements and take part in any discovery and solution design sessions as and when required
  • Drive continuous improvement through further initiatives but also Lean thinking and culture. Encourage a culture of investigation, process thinking and the pursuit of new ideas / better ways of working.

Qualifications:

Requirements:

Essentials:

  • Effective verbal and written communications in English
  • Educated to degree standard or to work experience equivalent.
  • Experience in working on Process Improvement/Big Data Management within Financial Services (ideally insurance)
  • Demonstrated success in dealing with ambiguity, proven ability to communicate at all levels, including senior executive level, outstanding facilitation, problem resolution, crossgroup collaboration and organizational agility skills and the ability to work collaboratively across teams within an Agile environment
  • Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
  • A proven ability to manipulate large datasets
  • Some understanding of analytics tools, such as R and Python
  • Good level of understanding of data visualisation techniques and tools, such as Tableau, Power BI and R-Shiny
  • Excellent communication, influencing, and presentation skills with the ability to present effectively to people from various backgrounds and experiences
  • Proficient in the use of MS Excel, Word and PowerPoint
  • Exceptional organization skills
  • A team player with a strong desire to achieve excellence

Desirable:

  • Good level of Spanish
  • Knowledge / experience of the insurance lifecycle from sales and underwriting, fulfilment and back end processing, to finance and claims.
  • Demonstrate flexible and innovative ways of working
  • Exceptional presentation skills
  • Experience in the delivery of business process change initiatives and will ideally hold or be working towards a recognised Lean / Six Sigma
  • Experience working within a Fi

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