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Data analytics specialist - morgan mckinley

London
Morgan Mckinley
Posted: 29 June
Offer description

Ignite Your Impact as a Data Analyst - Join a Forward-Thinking Team! Are you a data enthusiast with 2-3 years of experience ready to transform fragmented data into powerful insights? We're seeking a skilled Data Analyst to join a dynamic technology transformation team within a thriving professional services firm! This isn't just any Data Analyst role; it's an opportunity to be instrumental in shaping the future of business intelligence. You'll be at the heart of our data evolution, translating complex data landscapes into actionable strategies. What You'll Be Doing: Designing, developing, and maintaining impactful PowerBI dashboards and reports to deliver crucial business intelligence. Implementing and managing our Microsoft data warehouse initiative. Developing seamless system integrations using Power Automate, APIs, and other cutting-edge tools. Tackling data quality challenges through expert analysis, cleansing, and standardization. Building automated data quality monitoring tools and processes. Collaborating across teams to identify exciting automation opportunities. Developing natural language processing solutions for document analysis and data extraction. Documenting data flows, structures, and processes to foster knowledge sharing. What We're Looking For: 2-3 years of professional experience in data analysis, business intelligence, or a related field. Strong experience with Microsoft Power Platform (PowerBI, Power Automate, Microsoft Copilot). Proficiency in SQL, Python, and advanced data querying techniques. Experience in data modelling and data warehouse concepts. Familiarity with API data integration methods. Excellent analytical and problem-solving skills. Outstanding communication skills, with the ability to clearly explain technical concepts to non-technical stakeholders. Bonus Points For: Experience with Microsoft Fabric or Azure Synapse Analytics. Strong DAX skills in PowerBI. Knowledge of accounting or financial services data structures. Experience with API development and integration. Familiarity with natural language processing techniques. Understanding of data governance principles. Experience with Agile project methodologies.

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