Data Engineer
Role details
Job location
Tech stack
Job description
This job involves developing and delivering Management Information (MI) providing key trends, better MI developments whilst supporting best practice. The role involves producing intelligence/insights to better serve decision making and outcomes to help grow RSA Luxembourg. The individual will work within the RSAL Change and continuous improvement team to help shape the needs and requirements of the business to support better MI and data quality. The individual will be responsible for reviewing existing reporting, providing recommendations on potential technical enhancements and new MI solutions. The role involves forming and maintaining a strong relationship within RSAL functions to work to capture all data and MI needs and prioritised to provide a clear picture of business performance You will be responsible for delivery of identified improvements for management information, insight/analytics, to defining solutions and implementing sustainable delivery. The role is key to driving consistency across our business to improve efficiency & ensure that the right work is done in the right place with the right controls & at the right cost.
Specific remit aligns to:
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The role connects with the business through MI and aims to influence various functions across RSAL in their decision making, ensuring the right business outcomes from data visualisation
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The individual will have a strong knowledge of information management and analysis background, working with the various functions to gain understanding of the various RSAL business units
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The role is responsible for the accurate production and delivery of existing BAU reports - this includes regular review and refinement to ensure fit for purpose
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The individual will work with necessary IT functions where required to enable better technology and capabilities, to help unify data from a variety of both internal and external sources Your role will evidence a culture of continuous improvement, supporting standardisation to allow for informed decision making at exec level. This will require you to understand the people aspects of change - from change readiness to the way people receive the change and the strategies needed to ensure that people adopt the new ways of working. In this role you will collaborate closely with the Sales, Underwriting, Operations, Finance and HR leadership. You will also interact with business stakeholders across all functions & branches (across jurisdictions), members of the COO function and Information Systems experts (via MSA in RSAI). You will provide operational expertise and consultancy capability to drive and deliver operational effectiveness and benefits in line with strategic and operational plans. This is a role that requires an experienced business-focused Data analyst with a proven track record of optimised delivery aligned to operational effectiveness. The ability to deliver within a strategy, influence key stakeholders to secure buy in and develop the plans required to execute targeted outcomes will be key to success., * Implementing methods to improve data reliability and quality, analysing raw data, developing and maintaining datasets.
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Play key role in development of Annual Operating
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Plan analytic automations and Quarterly Business Reviews
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Analysing financial and business data and information using a variety of proven statistical and other analytical techniques to identify trends, anomalies, gaps and opportunities
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Involvement in and ownership of project work as and when needed - both part of companywide initiatives and as part of a team along with standalone projects
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Support in the preparation of forecasts "as if" analysis and Portfolio Mix selection.
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Reports on a regular or ad hoc basis to meet the needs of internal customers and stakeholders, within agreed timescales
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Ensuring information and interpretation is presented clearly, unambiguously and in a readily comprehensible and appropriate format for the audience and business purpose
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Use and application of robotics and A.I. techniques to streamline processes, RSA Luxembourg SA (RSAL) is committed to ensuring that your privacy is protected, as the data controller, we take the necessary measures to ensure the security and confidentiality of the personal information it holds or processes in compliance with the General Data Protection Regulation (EU) of 27 April 2016 ("GDPR") and the Ley Orgánica 3/2018, de 5 de diciembre, de Protección de Datos Personales y garantía de los derechos digitales.
Requirements
- Programming Language (Python, R, Qlik, C, C#, Tableau, PowerBI)
- Data Analytics.
- Data Manipulation.
- Advanced knowledge in Data models.
- Proven ability to work with business leaders to understand and interpret the practical business implications of financial and underwriting data.
- Ability to manipulate data to provide meaningful MI to influence various functions across RSAL in their decision making, ensuring the right business outcomes from data visualisation.
- Experienced in the creation of KPI reports, dashboards and workflows.
- The individual will have a strong knowledge of information management and analysis background.
- Experience in supporting technological advancements in data, including consulting with third parties and internal teams to help shape design, development and creation of better reporting.
- Experience of working with IT functions where required to enable better technology and capabilities, to help unify data from a variety of both internal and external sources