Manager, Data Analytics

Key Skills

Java Programming, Python Programming, Database, SQL, PowerBI, Tableau, R Programming, SAS, Data Lake

Job Description

Job Classification:

Data Science & Analytics - Data Science & Analytics

• Enhance the department’s data analytics & data science capabilities.
• Establish relationships with assigned audit teams to gain an understanding of available data resources, flow of information and ways in which information can be leveraged in the audit process.
• Translate audit scenarios and requirements into technical specifications, build queries and test the query results for appropriateness and completeness.
• Extract, mine, and stratify data from various internal data repositories and where appropriate, merge data with external resources for micro and macro level analysis.
• Perform advanced queries and analysis across multiple technologies, create and manage automated audit routines, and validate and share results of the analysis across the team.
• Develop automated scripts and programs to allow auditors to execute data analytical programs for similar or recurring audits and to support continuous auditing/monitoring efforts.
• Identify data analytical routines that can be developed to meet similar objectives across multiple audit groups, to maximize return on investment.
• Provide insight and guidance on the interpretation of reported exceptions/analytics outputs so that appropriate actions can be taken by the audit teams.
• Continuously search for innovative ways to integrate and analyze data and present it in a user-friendly format.
• Effectively communicate with management and staff.
• Research various issues and trends to stay abreast of leading practices in continuous monitoring and data analytics emerging technology, business and market trends.

The successful candidate must possess a high level of executive presence and energy and be highly collaborative. Other qualifications include:

• A minimum of 6 years of experience in a data analysis or data science role preferably within internal audit, a risk function, a control function and/or previous experience in analyzing business processes in a financial services environment. 
• A Bachelor's Degree from an accredited college/university; an MBA is a plus.
• A dual major/minor combination of Business Analytics, Computer Science, Management Information Systems and Business (e.g., Accounting, Business Administration, Economics, Finance, Analytics, Management, Statistics) is a plus.
• Demonstrated record of successful, high impact data analysis projects and outcomes.
• Experience working with large volume datasets and mining it using statistical techniques, creating queries and scripts for data analytics and software applications such as SQL, SAS, R, Python or similar.
• Experience with and understanding of data systems (e.g., warehouses, databases, data lake, cloud, etc.)
• Advanced knowledge of MS Excel required
• Experience with data visualization tools, preferably Tableau, Power BI
• Excellent project management and analytical skills with an ability to multi-task and manage competing priorities.
• Excellent communication skills, both oral and written.
• Ability to participate within a multi-disciplinary team and be a strong team player.
• Experience in one or more of these business areas is a plus: life insurance, annuities, retirement, asset management.