Senior Insights Analyst, Insurance

The Role:

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 (e.g., Power BI).
• Familiarity with data modeling, ETL processes, and data warehousing concepts.
• Familiarity with Data Modelling tools (e.g. Erwin, Embarcadero, ER/Studio) and diagramming tools (e.g. MS Visio)
• Familiarity with: Data Extraction / Manipulation tools (e.g. SQL), Data Visualisation / Geospatial tools (e.g. D3.js, JupyteR, Google Charts), Data Science / Statistical / Data Engineering tools (e.g. R, Python, Alteryx, SAS), AI tools (e.g. Machine Learning, NLP), Data Integration tools (e.g. 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