Data Analyst

Role: Data Analyst Location: Belfast, UK Type of hiring: Contract Mode of working: Hybrid (2-3 days/week onsite) - • Key Objectives • : - Analyze data reports sent to Credit Reference Agencies to identify trends, patterns, and insights. - Use online tools like Experian Aperture to access and analyze credit data. - Develop and maintain complex SQL queries to extract and transform data from Teradata databases. - Provide data insights and recommendations to stakeholders to inform business decisions. - Collaborate with cross-functional teams to identify and implement process improvements. • Key Responsibilities: • - • Data Analysis • : Analyze large datasets to identify trends, patterns, and insights that inform business decisions. - • Teradata Development • : Design, develop, and maintain Teradata databases, including data modeling, ETL, and data governance. - • SQL Development • : Write complex SQL queries to extract, transform, and load data from various sources. - • Experian Aperture • : Use online tools like Experian Aperture to access and analyze credit data. - • Data Quality • : Ensure data quality, integrity, and accuracy by implementing data validation and data cleansing processes. - • Collaboration • : Work with cross-functional teams to design and implement data solutions that meet business requirements. - • Technical Skills • : - Teradata experience (5+ years) - Strong SQL experience (5+ years) - Experience with Enterprise Data Warehouse (EDW) development and support - Familiarity with data modelling, data governance, and data quality - Experience with online tools like Experian Aperture is desirable. - • Education • : - Bachelor's degree in Computer Science, Information Technology, or related field - • Experience • : - 5+ years of experience in data analysis, data warehousing, or a related field - • Certifications • : - Teradata certification (e.g., Teradata 14/SQL) is a plus • Preferred Skills: • - • Data visualization tools • (e.g., Tableau, Power BI) - • Programming languages • (e.g., Python, R) - • Data governance and data quality tools • (e.g., Informatica, Talend) - • Agile development methodologies • - • Experience working in a regulated industry • (e.g., financial services)