Data Analyst

We are seeking a systems-focused Graduate Data Analyst to support our Finance function by developing, maintaining, and improving data warehouse, systems, and reporting automation capabilities. This role is ideal for a technically strong graduate with a passion for coding, data systems, and automating finance and non-finance reporting processes.

You will play a key role in improving how financial and operational data flows through the organisation, enabling scalable, automated reporting and analytics for Finance and wider business stakeholders., Data & Systems Development

• Develop, maintain, and optimise data pipelines feeding the finance data warehouse
• Write, test, and optimise SQL queries, scripts, and transformations to support automated finance and non-finance reporting
• Support integration of finance and operational systems (e.g. ERP, budgeting, forecasting, HR, sales, and billing systems) into the data warehouse
• Assist in designing and maintaining data models that support automated reporting and analytics use cases

Reporting Automation & Enablement

• Help automate recurring finance and management reporting processes to reduce manual effort and improve accuracy
• Enable self-service and scalable reporting through robust data structures and automated data refreshes
• Support automation of both financial (P&L, balance sheet, cash flow) and non-financial (operational, KPI, performance) reporting
• Work with stakeholders to transition manual spreadsheet-based reports into automated system-driven solutions

Finance Systems Support

• Partner with Finance and non-Finance teams to understand reporting and data requirements
• Support finance systems and reporting automation initiatives, including process improvements and system enhancements
• Assist with system upgrades, implementations, and data migrations with a focus on automation and data integrity
• Troubleshoot data quality, reconciliation, and reporting issues across systems

Continuous Improvement

• Identify opportunities to further automate reporting, data processes, and controls across finance and the wider business
• Improve performance, scalability, and reliability of data systems supporting automated reporting
• Apply best practices in coding, version control, testing, documentation, and systems design
• Stay up to date with modern data, automation, and finance systems technologies

Do you have experience in Workday?, Technical Skills

• Strong coding capability, particularly in SQL
• Experience with at least one programming language such as Python, R, or similar
• Understanding of data warehousing and reporting architectures (ETL/ELT, star schemas, fact & dimension tables)
• Experience working with databases and data systems (cloud or on-premise)
• Interest in automating data and reporting workflows

Finance & Business Understanding

• Degree in Data Science, Computer Science, Engineering, Finance, Economics, Mathematics, or a related field
• Strong interest in finance systems, reporting automation, and business data
• Basic understanding of finance concepts (e.g. general ledger, P&L, balance sheet) is desirable

Soft Skills

• Strong analytical and problem-solving skills
• Ability to translate business and reporting requirements into technical, automated solutions
• Clear communicator, comfortable working with both technical and non-technical stakeholders
• High attention to detail and data accuracy
• Curious, proactive, and keen to learn in a systems-driven environment

Desirable (Nice to Have)

• Experience with ERP or finance systems (e.g. SAP, Oracle, NetSuite, Workday)
• Exposure to BI and reporting tools (e.g. Power BI, Tableau, Looker)
• Experience with cloud data platforms (e.g. Snowflake, BigQuery, Redshift)
• Familiarity with automation, orchestration, or analytics engineering tools (e.g. dbt, Airflow)

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice.     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.