About this role
SENIOR DATA ANALYTICS MANAGER
LEICESTER (5 DAYS ONSITE)
3 MONTH CONTRACT
INSIDE IR35
This is a high-impact interim opportunity for a Senior Data Analytics Manager to lead a large-scale data, analytics, AI and automation function within a highly data-driven organisation. You'll play a key role in maintaining operational continuity whilst driving improvements across reporting, automation, self-service analytics and AI capabilities.
The Company
They are a large retail organisation operating complex, enterprise-scale data environments that support critical business operations. With a strong focus on innovation, they continue to invest heavily in data platforms, analytics capabilities, process automation and AI-driven solutions. You will join a business committed to improving decision-making through data, intelligent automation and scalable technology.
The Role and Deliverables
* Lead the Data, Analytics, Reporting and Automation functions, managing both reporting and RPA leadership teams. * Own and evolve the Finance Operations data strategy within a Databricks environment. * Drive adoption of self-service analytics, semantic models and Power BI best practices across the business. * Provide leadership for AI and GenAI initiatives, including intelligent automation and future AI capabilities. * Oversee reporting governance, data quality, testing standards, security models and platform optimisation. * Lead a large-scale RPA operation, managing outsourced delivery partners and identifying opportunities to improve operational efficiency through automation.
Your Skills & Experience
* Strong leadership experience across Data Analytics, Business Intelligence, Data Engineering, RPA, Process Automation or related technology functions. * Proven expertise working with Databricks in enterprise-scale data environments. * Advanced capabilities in Python development and SQL engineering. * Strong Power BI expertise, including governance, semantic models, security and self-service reporting frameworks. * Experience developing and scaling data platforms that support large volumes of operational and business data. * Experience leading RPA and process automation initiatives, including management of third-party delivery partners. * Exposure to AI, GenAI, machine learning or intelligent automation initiatives within a business environment. * Strong stakeholder management skills with the ability to translate technical concepts into business outcomes. * Ability to operate strategically whilst remaining technically credible and hands-on when required.