Business Analytics Analyst (Data Control)

WSN is looking to bring on a Business Analytics Analyst for a consulting engagement with investment banking client based in the New York City Metropolitan area. Business Analytics Analyst NYC - hybrid, 3 days onsite The role will be part of a core central data analytics project delivery team, charged with ensuring the timely execution of deliverables across multiple workstreams, whilst imparting their subject matter expertise and know-how of business analytics techniques and delivery. The candidate must be an individual experienced in data analytics, with both hands-on skill and with sufficient domain knowledge to be able to provide meaningful solutions that are functional and sustainable. Primary Responsibilities • Support the Metrics and Data Controls Lead in the development of a best-in-class platform to provide meaningful insights into the causes of data quality issues so that remediation efforts can be focused to drive Risk Reduction • Write data and feature specifications utilising Control outputs and work with Technology partners to develop new analytics capabilities. • Compile insightful, actionable analysis of trends against Data Quality Indicators to support decision making by senior management. • Plan and co-ordinate UAT activities for new business analytics capabilities. • Provide hands-on technical data support for the Price Risk Metrics and Control Analytics initiative. • Identify Risks & Issues and proactively seek to resolve or escalate them in a timely and well-articulated manner. • Have relevant industry experience within the Financial Industry, preferably within Business / Data Control Analytics • Be self-starting with proven ability to hit the ground running. • Handle complexity, ambiguity and a fast changing, often demanding work environment. • Drive change to business practices by working effectively across a global organization. • Demonstrate analytical skills with follow-up and problem-solving capability. Key Skills Required • Excellent attention to detail when analysing and documenting data and business requirements • Understanding of the key data quality themes typically experienced at the touchpoints between processes in large complex technology environments. • Ability to work off own initiative to identify opportunities for improvement and better data insight. • Use of Python / Jupyter notebooks to analyse data. • Use of SQL to analyse data. • Good Tableau skills to support data analysis and develop storytelling through efficient visualisations. • Background in using advanced Tableau reporting / analytics capabilities to support Control / Business Data Analytics • Proficiency with Excel and PowerPoint. • Excellent attention to detail along with problem solving and analytical skills. Key Skills Preferred • Good understanding of Control points in Price Risk Front Office valuation processes and their interaction with Market Risk Management and Product Control. • Strong business and data analysis skills • Bachelor's/University degree, Master's degree preferred • Exposure to python data science libraries (e.g. SciKit-Learn) a plus. • Excellent oral and written communications skills; must be able to use language efficiently and succinctly to deliver targeted messaging to senior stakeholders.