Senior Data Analyst

Job Description:

Our client, a leading financial services organisation, is seeking an experienced Senior Data Analyst to join their team on a 6-month daily rate contract to deliver high-quality data solutions that support strategic, data-driven decision-making.

Job Responsibilities

• Engage with business stakeholders to gather requirements, translate business challenges into data solutions, and deliver clear, actionable insights.
• Design, develop and enhance dashboards and reporting solutions using modern visualisation tools, ensuring outputs are intuitive and aligned to evolving business needs.
• Take full ownership of projects from initial scoping through to final delivery, working autonomously while maintaining high quality standards.
• Build, optimise and maintain scalable data pipelines and queries within a cloud-based data environment.
• Identify data sources, assess data quality, and address gaps or limitations through structured analysis and remediation approaches.
• Contribute to the improvement of database performance and overall data architecture through query optimisation and structured data modelling.
• Provide peer review and technical oversight to ensure adherence to best practice in coding, documentation and delivery standards.
• Champion strong data governance, classification and security controls across all data products and analytics outputs.

Experience Required

• Minimum 5+ years’ experience in a Data Analyst or similar analytical role.
• Proven experience delivering end-to-end data projects within a commercial or regulated environment.
• Strong hands-on experience with SQL and advanced data querying techniques.
• Practical experience designing and querying cloud-based data warehouse solutions (e.g. Snowflake or similar platforms).
• Demonstrated experience developing dashboards using Power BI and/or Tableau.
• Experience working with ETL tools and managing structured data transformation processes.
• Strong understanding of database structures, data modelling and analytics best practice.
• Ability to manage multiple priorities, communicate progress clearly, and meet defined deadlines.

Desirable Skills

• Experience working within a financial services or similarly regulated environment.
• Exposure to Azure or other cloud-based data platforms.
• Programming experience in Python or similar languages.
• Understanding of AI and machine learning fundamentals, with exposure to applying basic models in a business context.
• Familiarity with workflow and project tracking tools such as JIRA.
• Strong presentation skills with the ability to communicate technical concepts to non-technical stakeholders.

Educational Requirements

• Third level degree in IT, Data Science, Mathematics, Actuarial Science or a related discipline. Relevant industry experience will also be considered.

HOW TO APPLY:

If you are interested in this role, please apply for this role with your updated CV.