Data Analyst

Job Description

Title: Data Analyst

Location: Dublin, Ireland

Data Analyst is a senior role and must demonstrate critical thinking, analytical and problem-solving abilities, hands-on intelligence or data analysis skills, and intellectual curiosity. The candidate should understand data science methods, and visualization techniques to leverage internal and external data to identify and develop ways to systemically detect inefficiencies and gaps. The incumbent is required to engage and work with global and regional business, operations, and internal/external technology partners to deliver. 

Responsibilities: 

• Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflows for the product or function
• Demonstrate an ability to apply curiosity and critical thinking in data mining and analytics to drive optimization and improve data quality
• Conduct strategic data analysis across relational databases, identify insights & implications to make strategic recommendations, develop data displays that clearly communicate complex analysis
• Understand the global implications & applicability of the recommendations and effectively communicate them to stakeholders 
• Collaborate with business partners to analyze complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; design new workflows to transform business requirements into concrete insights
• Program new transformations, mappings, workflows and loading procedures using ETL technologies to implement business rules using the best practices to achieve high performance
• Document and reference key facts uncovered during research and analysis process
• Lead systems change process from requirements through implementation; provide user and operational support of applications to business users
• Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
• Participate in the development, testing, and training of new or enhanced tactical solutions or strategic system applications. 
• Significantly influence decisions, work, and performance of the team through advice, counsel and/or facilitating skills
• Supervise day-to-day staff management issues, including resource management, work allocation, mentoring/coaching and other duties and functions as assigned
• Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications: 

• 6-10 years Business and/or Data analysis experience using tools and techniques for modeling of large data sets
• Ability to effectively use complex analytical, interpretive and problem-solving techniques
• Extensive experience working in Waterfall and Agile project methodologies; using JIRA
• Advanced to Intermediate SQL skills querying relational databases
• Experience with process and data modelling (UML) and knowledge of ETL 
• Proven interpersonal, diplomatic, management and prioritization skills
• Consistently demonstrate clear and concise written and verbal communication
• Proven ability to manage multiple activities and build working relationships
• Proficiency in MS Office (Word, Excel, Visio, PowerPoint) with extensive experience using Excel for data analysis
• Experience with all phases of Software Development Life Cycle
• Knowledge of reporting tools like: Cognos, Tableau is a plus
• Ability to handle multiple projects simultaneously and analyze large sets of complex data, draw meaningful conclusions, and make recommendations based on analysis
• Comprehensive knowledge of the principles of business and data analysis
• Experience using tools like: Python, R or similar is a plus

Education: 

Bachelor’s/University degree or equivalent experience

Master's degree preferred but not required