Analytics Data & Analytics

In this role, you will:

• Consult with business line and enterprise functions on less complex research
• Use functional knowledge to assist in non-model quantitative tools that support strategic decision making
• Perform analysis of findings and trends using statistical analysis and document process
• Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance
• Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency
• Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing
• Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff
• Understand compliance and risk management requirements for supported area
• Ensure adherence to data management or data governance regulations and policies
• Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals
• Collaborate and consult with more experienced consultants and with partners in technology and other business groups

Required Qualifications:

• 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• Excellent verbal, written, and interpersonal communication skills.
• Strong knowledge of Enterprise Risk programs and applicability of risk management framework (3 Line of defense)
• Experience identifying internal and external data sources from multiple sources across the business
• Experience with SQL, Teradata, or SAS and Database Management systems like Teradata and MS SQL Server.
• Experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk).
• Experience in data visualization and business intelligence tools.
• Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills
• Demonstrated strong analytical skills with high attention to detail and accuracy.
• Strong presentation skills and ability to translate and present data in a manner that educates, enhances understanding, and influence decisions, bias for simplicity
• Strong writing skills - proven ability to translate data sets and conclusions drawn from analysis into business/executive format and language
• Ability to support multiple projects with tight timelines
• Meta Data management, Data Lineage, Data Element Mapping, Data Documentation experience.
• Experience researching and resolving data problems and working with technology teams on remediation of data issues
• Hands-on proficiency with Python, Power BI (Power Query, DAX, Power apps), Tableau, or SAS
• Knowledge of Defect management tools like HP ALM.
• Knowledge of Data Governance.

Job Expectations:

• Ensure adherence to data management or data governance regulations and policies
• Extract and analyze data from multiple technology systems/platforms and related data sources to identify factors that pose a risk to the firm.
• Consult with business line and enterprise functions on less complex research
• Understand compliance and risk management requirements for sanctions compliance and data management
• Perform analysis of findings and trends using statistical analysis and document process
• Require a solid background in reporting, understanding and utilizing Relational Databases and Data Warehouses, and be effective in querying and reporting large and complex data sets.
• Excel at telling stories with data, presenting information in visually compelling ways that appeal to executive audiences, and will be well versed in the development and delivery of reporting solutions.
• Responsible for building easy to use visualization and perform data analysis to generate meaningful business insights using complex datasets for global stakeholders.
• Responsible for testing key reports and produce process documentation.
• Present recommendations to maximize operational efficiency, quality, and compliance
• Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency
• Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff