Data & Analytics Lead / Head of Data

Data & Analytics Lead / Head of Data

Harvey Nash is working with a fantastic business who are looking for a Data & Analytics lead to propel their data usage to the next level. This role will be the lead data position in the organisation, overseeing a small team of specialists, and will create a data strategy for the organisation to ensure maintenance and enhancements for the data infrastructure, and foster a data culture within the team and organisation.

Responsibilities:

• Improve and manage the data systems, and enhance the current infrastructure.
• Ensure the data accuracy and reliability is of high quality.
• Run an audit on the business's existing data warehousing systems and processes, to develop a comprehensive plan and strategy for implementing a new data warehouse.
• Develop and execute a comprehensive data strategy for the business, and review existing data plan.
• Oversee the design, implementation, and maintenance of the data warehouse architecture and modelling standards across the business.
• Manage the Extract, Transform, Load (ETL) processes, ensuring efficient data processing and integrations.
• Lead a small team of data specialists, mentoring and coaching them.
• Work closely with different stakeholders to analyse data, generate actionable insights and create reports to help drive business decisions.
• Support the business intelligence (BI) structure and create and maintain regular and ad-hoc reports, ensuring that stakeholders have access to reliable data.
• Foster a data culture across the organisation, advocating for best practices in data management & analytics.

Required:

• Proven experience in data management, MIS reporting & ETL processes.
• Strong skills in SQL Server, SSIS and data warehousing.
• Proficiency in data visualisation tools (Power BI).
• Experience with cloud platforms (e.g. Azure, AWS, Google Cloud)
• Excellent leadership, communication and organisational skills.
• Ability to explain complex data concepts to non-technical stakeholders.
• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.