Data Scientist identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
Role Title: Data Analyst
Possibility of remote work: Hybrid – Weekly 3 days from office
Contract duration: 6 months
Location: Nottingham
JOB DETAILS
Required Core Skills:
-Expert knowledge of Business Solutions IT systems, infrastructure, architecture, hosting, data mapping, service providers, service agreements and relationships and governance frameworks.
-Significant experience working in data management and application development environment.
-Working knowledge of MS data management platforms.
-Keen innovator in the use of data technology, with knowledge and expertise at the forefront of the field, a desire to generate ideas and experience in prototyping solutions across multiple platforms.
-Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.
-Minimum years of experience: 8
Detailed Job Description:
• Identify trends and opportunities for growth through analysis of complex datasets
• Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
• Work directly with managers and users to gather requirements, provide status updates, and build relationships
• Experience in complex data analytics using the Microsoft technology stack
• Experience in using SSMS or Azure Synapse for development of analytics (SQL-based)
• Experience in creating visualizations with Power BI / SSRS
• Comfortable working in a small group or 1 on 1 with subject matter experts
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