Analytics Developer

Join RSA and make a difference every day. Whether you are just beginning your career or looking to take the next progressive step in your journey, RSA Insurance Ireland is an organization where you can be yourself, learn and develop and a place where your ideas and contributions matter. With offices in Belfast, Galway, and Dublin, we have embraced hybrid work empowering our people to work flexibly and to suit their individual needs, which enables them to deliver great service to the customers we look after every day. Our Dublin office is also home to our sister-company 123.ie. At RSA and 123.ie we empower our customers to make a difference in their lives. And the same goes for our employees. We are proud to have 32 different nationalities represented in our workforce. Our diverse customer base benefits from the diverse perspectives of our teams that serve them, solving complex problems with creative ideas. As a proud member of the Intact family, were part of something bigger with a presence in North America, the UK, and Europe. Our business has grown organically and through acquisitions to over $21 billion of total annual premiums. We want you to thrive and grow with us and well give you all the tools, flexibility and learning opportunities you need to do it. And, if you bring your best, then we promise to give you, our best. Culture and Community RSA is a purpose-driven business our purpose is to help people, businesses, and society prosper in good times, and be resilient in bad times. We do that by living our values Integrity,Respect,Customer-driven,Excellence, andGenerosity in everything that we do. We provide an open and honest workplace where everybody contributes, and every view is listened-to and respected. Generosity is in our DNA and is the value that guides and enables our people to help others, protect the environment and make our communities more resilient. It drives our efforts to care for people and to give our time, financial resources and talent. Were also committed to helping society adapt to a changing climate taking reasonable care to ensure that our business activities are conducted in an environmentally sustainable manner. Our stats dont lie in our annual engagement survey 87% of our people celebrate the diversity in their teams and the wider company 90% of our people feel safe to speak up and share if theyve made a mistake 91% of our people feel valued and respected by leadership 89% of our people are benefiting and thriving through our hybrid working model So if you want to make a difference every day, wed love to have you. Analytics Developer RSA is developing an industry leading Data & Analytics function. We are looking to further strengthen our growing team. The analytics developer will join a team of business facing analysts, data scientists, and analytics developers located in our three sites in Ireland (Dublin, Galway, Belfast) as well offshore resources. The lead data scientist will report to the Head of MI & Analytics. The role will combine the responsibilities of data modelling and analytics development. The analytics developers will be responsible for maintaining strong relationships with business stakeholders in order to provide analytical and technical support for MI/BI and analytics activities. The role requires to develop reports, dashboards and interactive data visualizations, and work with data repositories (warehouse / lake / lake house), data integration and data modelling to support business decisions, leveraging data to gain key insights into business opportunities. The analytics developer will build the companys analytics capabilities while also ensuring distribution and delivery of high-quality analytics solutions and MI/BI artefacts. They will support the democratization of data and enablement of business users to conduct self-service analytics. The analytics developer will be instrumental on defining guardrails around self-service by setting standards and guidelines, as well as educating, training, and working with citizen analyst and developers. As part of his data modelling activities, the role holder will describe, document and model, the information that are important to the organisation. The role holder will create end user-approved data models, work with the D&A architect who owns the enterprise data model and develop business data glossaries and ontologies. They do this to support data quality, data privacy and security, data lineage and integration, data governance, runtime models, and database schemas all to achieve organisation wide consensus about the meaning of data. During the data modelling activities, they will consult with relevant subject matter experts from as many departments and user bases as necessary, modelling business requirements with consistency and coordination. The individual will have strong communication skills backed by solid technical capabilities. Proven experience successfully managing the delivery of analytics projects across multiple business functions is a requirement. Regular business trips will be organised to meet key stakeholders in RSA Ireland offices (Dublin, Galway, and Belfast). Key Responsibilities: Engage with stakeholders on a regular basis to: Support the Head of MI&A to prepare and steer the agile ceremonies (daily stand up, backlog refinement, sprint review, sprint planning) Support the Head of MI&A to manage expectations during guardians sessions (value prioritisation, capacity management and delivery timelines) Provide a high level of visibility on the value delivered by the team leveraging all communication channels available (ITS huddles, ITS all hands, Organisation engagement platforms: MS Teams, Spotlights and Workvivo, various events organised in the office throughout the year) Display leadership qualities: influence and guide junior analysts in the team and across the business, fostering a collaborative and growth-oriented environment. Support the development of Data Literacy across the organisation by: Promoting data modelling, analytics, and data visualisation best practices Ensure use of a common data language Align stakeholders understanding of data assets and data capabilities Ensure ethical data handling within the organisation including commitment to privacy regulations, data protection, and ethical use of customer information. Continuous Learning and Innovation Stay abreast of industry trends, emerging technologies, and best practices. Be curious, experiment with new tools, and champion innovation. Promoting analytics and data visualisation best practices Network with internal and external partners Upskill yourself (through conferences, publications, courses, local academia, and meetups). Promote collaboration with other stakeholders of the data ecosystem as well as business stakeholders within the IFC group. What The analytics developer will be at the forefront of driving data-driven decision-making within the organization. The role involves supporting the company strategy execution - leveraging data analytics to generate value for the business via improved customer and pricing insights. Here is a more detailed breakdown of the responsibilities: Data Modelling Design and support the implementation of logical and physical data models supporting the analytics needs of business stakeholders Capture the structure, relationships, and constraints of relevant data elements Build and operationalize complex analytics solutions, solve potential problems, define transformations and logic, recommend data cleansing/quality solutions Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Create entity-relationship diagrams (ERDs), data flow diagrams, and other visualization tools to represent data models Collaborate with the Data Engineering team to implement and maintain data models in databases, data warehouses, data lakes, lake houses. Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts Conduct performance tuning and functional optimization of data models for efficient data access and retrieval through semantic models. Incorporate core data management competencies, including data governance, data security and data quality Be prepared for dynamic requests. Whether it is evaluating the impact of regulatory changes or assessing market shifts. Analytics Development Understands the decision-making process, workflows, and business and information needs of business stakeholders Map out and understand customer journeys, from quote requests to claims processing. Understand pain points, bottlenecks, and opportunities for improvement. Your insights will drive customer-centric enhancements, ensuring a second to none experience for policyholders. Translates business needs into D&A requirements to support stakeholders decisions and workflows with required information input Proactively mines data repositories (warehouse, lake, lake house) to identify trends and patterns and generates insights for business units and senior leadership Coordinate with data owners, data stewards, and business SMEs to understand their information needs and identifies ways to visualize and present information in an efficient manner Contribute to the development and maintenance of analytics models (customer propensity to buy, customer lifetime value, identifying cross-selling opportunities, marketing campaign efficiency). These models will be instrumental in refining the business strategy. Supports business users experience and information architects to enhance information visualization through the development of MI/BI artefacts Develops analytical strategies to solve business problems by understanding the business problem, identifying relevant data, gathering, and summarizing data meaningfully, and applying appropriate analysis Data Governance and Quality Assurance Uphold data integrity and quality standards. Contribute to the implementation of the governance frameworks, ensure data completeness and accuracy, and collaborate with IT teams to ensure reliable data sources. High attention to detail will be critical in maintaining trustworthy analytics. Requirements: Minimum 2 years in a similar role Quantitate or Business Management degree required (NFQ level 8 and above) Proven experience as a data analyst or analytics developer providing high value outputs to business stakeholders is required Proven experience handling complex projects, adhering to timelines, and managing stakeholder expectations. Experience on data modelling, visualisation and analytics projects delivered through agile/scrum methodologies. Experience with Microsoft Azure technology stack (PowerBI, Synapse, Databricks) or similar Good understanding of Data Warehousing / Data Visualisation / Analytics solutions architecture Previous experience in the Insurance Industry would an advantage Regulatory Requirements: If this role is defined as a "controlled function" by the Central Bank Reform Act 2010 Regulations 2011. Any appointment will be conditional on the company being satisfied that you meet the requirements as set out in the Fitness & Probity standards issued in this Act. RSA Insurance Ireland DAC and its affiliate companies consider applicants on the basis of qualifications and without regard to race, colour, religion, sex, national origin, age, marital or veteran status, sexual orientation, disability or any other legally protected status Skills: Data Analytics Analytics Developer Data Benefits: Bonus & Benefits