Senior Insights Analyst, Insurance
City/hybrid
Circa GBP60K + bonus and benefits
Senior Insights Analyst is required to join a vibrant insurance organisation with offices in the heart of the city. This is a pivotal role that will see you collaborating with various stakeholders to gather, analyse, and interpret data, and to provide valuable insights to support strategic decision-making and operational efficiency. The ideal person here will come from a technical background with strong insurance experience and the ability to translate complex business requirements into actionable data solutions.
Key Responsibilities
- Work closely with stakeholders to capture and analyse data needs from various source systems
- Design reports and dashboards that communicate key performance indicators and insights
- Present and consult in a clear and compelling manner to both technical and non-technical audiences through wireframes and visualisation tools.
- Support the Data Governance function in the develop and enforcement of data governance policies and procedures as required
- Participate in data quality and compliance audits as needed.
- Work closely with data engineers, developers, and architects and BI developers to implement data solutions that meet expected requirements set out by IT and in relation to the business need.
- Create comprehensive documentation
Knowledge and Skills
- Advanced user of Business Intelligence and data visualisation tools (eg, Power BI).
- Familiarity with data modelling, ETL processes, and data warehousing concepts.
- Familiarity with Datamodelling tools (eg Erwin, Embarcadero, ER/Studio) and diagramming tools (eg MS Visio)
- Familiarity with: Data Extraction/Manipulation tools (eg SQL), Data Visualisation/Geospatial tools (eg D3.js, JupyteR, Google Charts), Data Science/Statistical/Data Engineering tools (eg R, Python, Alteryx, SAS), AI tools (eg Machine Learning, NLP), Data Integration tools (eg SSIS, ADF, Informatica), Cloud based tooling preferable MS Azure
- Proficient in analysing complex datasets to derive actionable insights.
- Familiarity with Scripting languages like Python or R for data manipulation and analysis.
- Knowledge of data cleansing and preprocessing techniques.
- Knowledge of data governance principles and best practices.
- Experience in ensuring data quality and integrity through validation and cleansing processes.
For a full consultation on this exciting opportunity, please send your CV to ARC IT
Please note, salaries quoted are dependent on experience