Alex Grocott

Analytics Engineer with 3 years of hands-on experience in data engineering, pipeline development and business intelligence, underpinned by 5 years in process improvement and Lean Six Sigma. Skilled in building robust SQL and Databricks pipelines, designing Power BI semantic models and driving the migration of legacy data tooling to modern lakehouse architectures. Experienced delivering financial reporting (P&Ls, flash reporting) and integrating analytical outputs into operational systems.

Passionate about enabling business improvement through automated data provisioning.

Senior BI Analyst at Evri (2023-05 – Present)

Data engineering and analytics role embedded within the Operational Finance team, delivering trusted reporting and building scalable data infrastructure.

• Designed and built end-to-end data pipelines using Databricks and SQL (T-SQL), transforming raw source data into analytical datasets for Finance reporting including P&Ls and flash reports
• Migrated legacy data workflows from SAP HANA and Alteryx into Databricks, improving pipeline reliability, performance and maintainability across the Finance data estate
• Developed and maintained Power BI semantic models (datasets) to support consistent, trusted KPI reporting - enabling self-serve analytics across the Finance function
• Implemented lakehouse architecture patterns within Databricks, applying Delta Lake best practices for data quality, versioning and efficient query performance
• Built lightweight data applications using Databricks and Power BI to automate recurring Finance reporting tasks, reducing manual effort and improving accuracy
• Automated recurring operational reporting tasks using Power Automate, freeing analyst time for higher-value analytical work
• Collaborated with Finance stakeholders to translate business requirements into practical data solutions, ensuring reporting aligned to regulatory and internal governance standards
• Integrated outputs from analytical models into operational reporting dashboards, supporting data-driven decision-making across the organisation

Operations Development Change Manager at Evri (2018-05 – 2023-05)

Led data-driven process improvement initiatives across UK operations, applying Lean Six Sigma methodology to identify inefficiencies and drive measurable change.

• Led end-to-end process improvement projects using Lean Six Sigma methodology, from data collection and root cause analysis through to implementation and benefit realisation
• Used data and statistical analysis (Minitab, Excel) to build evidence-based business cases for operational change, presenting findings and recommendations to senior stakeholders
• Managed change delivery across multiple workstreams simultaneously, working cross-functionally with Operations, Finance and IT teams
• Developed performance dashboards and reporting tools to track KPIs and measure the impact of improvement initiatives
• Coached operational teams on data-driven problem solving and continuous improvement techniques

Customer & Client Insight Analyst at Evri (2016-03 – 2018-05)

Performed statistical analysis on operational performance data, identifying trends and presenting actionable insight to senior management

• Produced regular reporting packs for internal and external stakeholders, supporting commercial and operational decision-making
• Developed proficiency in data analysis tools and Excel modelling, building the foundation for subsequent data engineering career progression

Level 5 Process Improvement Specialist in Lean Black Belt Equivalent - SkillTraining UK

BA (Hons) in Philosophy - University of Sheffield

A-Levels - Repton School, Derbyshire

GCSEs - The King's School, Cheshire