Junior Data Analyst

Candidate Description

With over two years of hands-on experience in data engineering and analytics, this professional has honed expertise in building scalable Azure-based pipelines and delivering insight-rich Power BI solutions across consulting and energy sectors. Adept in Python, SQL and Databricks, they apply strong analytical thinking to craft Lakehouse architectures, orchestrate ETL workflows and visualise performance metrics that drive strategic decision-making.

Their technical acumen is evident in the deployment of Azure Data Factory pipelines, Delta Lake tables and automated data-quality processes that underpin real-time dashboards at a Software Solutions Company. Proficient in advanced Power BI modelling, they integrate ADLS, Azure SQL and Databricks to surface KPIs, achieving double-digit gains in operational efficiency and securing new investment through data-driven storytelling. Prior roles at an Energy Company and a Technology Company further showcase capabilities in SQL optimisation, SSIS ETL development and Agile delivery using Jira and GitHub.

Collaborative by nature, they thrive in cross-functional teams, translating complex requirements into actionable insights and mentoring peers on best practices in data visualisation and cloud engineering. Their award-winning postgraduate project underscores an ability to innovate with machine learning and Generative AI, reinforcing a versatile skill set that adds measurable value to organisations seeking to unlock the full potential of their data assets.