Infinity Quest

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position for a contract length of "X months" with a pay rate of "$Y/hour" located in "Remote". Key skills include data analysis, database querying (SQL), and experience in regulated environments. Certifications in data engineering are required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Python #Automation #Compliance #Data Accuracy #Data Engineering #Data Governance #Data Layers #Cloud #Base #AWS (Amazon Web Services) #Data Quality #Database Querying #JSON (JavaScript Object Notation) #Programming #Visualization #Data Analysis #BI (Business Intelligence) #"ETL (Extract #Transform #Load)"
Role description
Job responsibilities • Partner with cross-functional teams to gather requirements, analyze data, deliver accurate reports and develop data-driven solutions that meet those needs. • Apply domain modelling techniques to design and develop top-tier business products using industry best practices to ensure high data quality and minimize redundancy. • Maintain data accuracy, integrity, and consistency across all data layers. • Drive process improvements and automation initiatives to boost reporting efficiency and data quality. • Collaborate with data engineers to streamline and enhance data reporting workflows through automation. • Work with internal teams to resolve data issues and discrepancies in reporting. • Communicate findings and insights to stakeholders using clear and effective visualizations and summaries. • Assist product teams in extracting and analyzing data for functional testing and data investigations. • Contribute to data governance and compliance efforts to ensure adherence to standards and regulations. • Deliver end-to-end reporting solutions on cloud infrastructure leveraging the latest technologies and the best industry practices Required qualifications, capabilities & skill • sFormal training or certification on data engineering concepts and applied experienc • eRecent hands-on professional experience in a reporting, data analysis or business intelligence rol • eExperience in database querying techniques and SQ • LUnderstanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores • )Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc. • )Experience in working with technical data formats (JSON / Avro / Parquet • )Strong analytical and problem-solving skill • sExperience in explaining and converting complex concepts into digestible information to be consumed by both technical and business stakeholder • sAttention to detail and commitment to maintaining data qualit • yExcellent written and verbal communication skills in Englis h Preferred qualifications, capabilities & skil • lsExperience in working in a highly regulated environment / indust • ryUnderstanding of data warehousing concepts and ETL process • esUnderstanding of event-base architecture, data streaming and messaging framewor • ksExperience in data analysis using Python programming langua • geUnderstanding of data governance framewor • ksUnderstanding of AWS cloud technologi es