Finance Analyst jobs in United Kingdom

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We are seeking a highly skilled Data Analyst with a strong background in business intelligence and data visualisation, demonstrating expertise in data modeling, report design, and advanced analytics. Proven ability to translate complex data into clear, actionable insights for stakeholders across various departments.

• Microsoft Power BI Expertise: Proficient in developing and maintaining Power BI reports and dashboards, including advanced DAX calculations, Power Query transformations, and data modeling.
• Data Analysis & ETL: Experienced in data extraction, transformation, and loading (ETL) processes from various sources, and performing in-depth data analysis to identify trends and provide recommendations.
• Technical Proficiency: Strong command of SQL and Excel
• Cloud Platforms: Familiar with Microsoft Azure environments such as Azure Data Factory, Azure SQL DB, Azure Synapse Analytics, or Azure Databricks.
• Stakeholder Collaboration: Excellent communication and relationship management skills, with a track record of gathering requirements and delivering solutions that meet business needs.

• Microsoft Power BI Data Analyst Associate (PL-300) or equivalent experience
• Experience in implementing RLS & Alerts
• Developing Power BI-based reports and dashboards utilising data from various sources
• Gathering requirements to develop complex ETL processes and data models for process automation.
• Designing and implementing data models and databases in collaboration with finance and sales teams.
• Creating high-impact, story-driven dashboard development and multi-level reporting for diverse audiences, including executive teams.
• Providing insights and analytical breakdowns of performance metrics to enable data-driven decision-making.
• Implementing data and reporting strategies, and analysing existing datasets for report consolidation and data controls.
• A collaborative mindset, with the ability to work well in a team-oriented environment.

• Advanced Technical Skills: Proficient in SQL (T-SQL / S-SQL), and experienced with SSMS or Data Bricks.
• Advanced Excel: Strong skills in Excel, including Power Pivot and Power Query, with the ability to work with complex datasets.
• Familiarity with SSRS reporting tools.
• A desire to learn or experience with statistical languages such as Python or R.