Graduate Data Analyst

1 day ago

Dublin, Dublin City, Ireland AVA Trade Full time

Job Title: Junior Data Analyst Job Location: IFSC Dublin 1 Department: Regulatory Reporting Reports to: Regulatory Reporting Manager Ava Trade is Financial Institution based in Dublin City Center offices in IFSC, Dublin 1. We are currently seeking to recruit Data Analyst to join our Regulatory reporting department, with responsibilities of the Data Analyst will collect, analyze, and interpret large datasets to provide actionable insights for regulatory reporting. The role will involve identifying trends, patterns, and correlations in data, creating reports, and delivering key metrics to drive performance improvements of multiple client asset reconciliation and trading transaction reporting, the determination and resolution reporting discrepancies and participating in the implementation of forensic and enhanced governance and compliance procedures by the deployment of advance IT and BI system, this role will require 39 hours per Week. 9-6pm from Monday to Friday. Reporting to the Regulation reporting Manager, this position will have the following responsibilities: Transaction Reporting: Data Collection & Preparation: Gather and clean data from multiple sources to ensure its accuracy and completeness. Data Analysis: Perform statistical analysis, generate reports, and derive insights to inform business decisions. Report Generation: Create dashboards, visualizations, and regular reports, summarizing key trends, performance metrics and insights. Data Visualization: Use tools like Tableau, Power BI, or Excel to create clear, impactful data visualizations. Predictive Analysis: Develop predictive models using historical data to forecast future trends and outcomes. Collaboration: Work with different departments (e.g., Dealing desk, IT, BI, operations and Finance) to understand data requirements and deliver actionable insights. Continuous Improvement: Identify opportunities for process improvement, data automation, and optimization to enhance analytical capabilities. Client Asset / Capital Requirement Reconciliation: Responsible for the day-to-day administration and reconciliation of multiple Client Asset Reconciliation Research and resolve any discrepancies Liaising directly with the relevant team internally or externally to resolve any queries Compiling of periodical reports and monitoring of reporting data qualities Assisting in the implementation of enhanced administration and control procedures Ongoing financial support services to the Management Team including providing analyses and reports on activity To be considered for this position, applicants will meet the following requirements: 1-2 Years experience in a busy reconciliations or Data analysis environment, credit management or investment firms. A strong attention to detail Familiarity with statistical analysis and tools. Experience with data visualization software (e.g., Tableau, Power BI). Proficiency in data manipulation and analysis tools such as Excel, SQL, Python etc Key Skills and Competencies: Analytical Thinking: Ability to analyze large datasets and extract meaningful patterns and trends. Technical Skills: Proficiency in SQL and database querying. Knowledge of statistical techniques (e.g., regression, hypothesis testing). Expertise in Excel for advanced data manipulation and modeling. Experience with programming languages such for data analysis and automation. Attention to Detail: Strong attention to data accuracy and precision. Communication Skills: Ability to present complex data in a clear and understandable manner to non-technical stakeholders. Problem-Solving: Ability to identify issues, analyze root causes, and offer actionable solutions. Benefits: bike to work, taxsaver. Pension Fund Paid Holidays VHI Preferred Qualifications: Experience in machine learning or AI applications for data analysis. Certification in data analytics or related fields, Statistics, Mathematics, Computer Science, Economics, or related field. 3rd level degree or above Skills: Excel, SQL, Python, Tableau, Power BI Benefits: Pension Fund Paid Holidays health insurance Gym

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