Harnham
Senior Data Analytics Manager
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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 organization. You'll play a key role in maintaining operational continuity while driving improvements across reporting, automation, self-service analytics, and AI capabilities.
The Company
They are a large retail organization 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 optimization.
- Lead a large-scale RPA operation, managing outsourced delivery partners and identifying opportunities to improve operational efficiency through automation.
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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 while remaining technically credible and hands-on when required.
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Desired Skills and Experience
- Databricks
- Data Analytics Leadership
- Data Engineering
- Business Intelligence (BI)
- Python
- SQL
- Power BI
- Semantic Models
- Self-Service Analytics
- Data Governance
- AI/GenAI
- Databricks Genie AI
- Intelligent Automation
- RPA (Robotic Process Automation)
- Stakeholder Management
- Data Strategy
- Enterprise Data Platforms
- Reporting & MI
- Team Leadership
- Outsourced Vendor Management
- Power BI Governance & Security
- Data Quality
- Azure SQL
- Oracle Migration
- OCR & LLM Solutions
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