Overview of the Senior DataAnalytics Analyst: 

Highly visible opportunity atCentral NJ Fortune 500 company. Join a team designed to add value, improveoperations and support high performing forensic and audit analyticsorganization. Drive data mining efforts, design queries and productwritten deliverables.

Responsibilities of theSenior Data Analytics Analyst:

• Be part of a team responsiblefor creating self-serve risk mitigation models for the enterprise using thelatest data analytics technologies and keeping the company on the leading edge
• Assignments includeincreasing levels of responsibilities and presentations to senior management,an excellent place to work for high potential employees
• Identifying and obtainingdata needed to perform analyses in the business to meet risk model objectives
• Create and maintainrelationships with data owners
• Assist in identifyingoutliers and trends throughout the enterprise through data
• Help maintain an efficientanalytic environment that will serve to transform the audit life-cycle fortargeted areas through implementation of continuous auditing
• Skilled in obtaining,loading, transforming and profiling data to meet the needs of analysis, models,and visualizations
• Play a significant role withrespect to infrastructure problem solving, opportunity identification andassisting in complex projects to lead the advancement of technical skillswithin Finance
• Assist in developing newideas and implementing projects which lead analysis efforts
• Drive a culture of datascience within the organization and be an enabler of analytics

Qualifications for the SeniorData Analytics Analyst:

• BS/BA degree in ManagementInformation Systems, Computer Science, Accounting, Business, Finance or relatedfield
• 3 year’s work experience indata analytics, data architecture, technology, audit, finance, or economics
• Proficient in using andmanaging data mining technologies, including but not limited to, SQL, MS SQL Server2012, Tabular Models, Teradata, Hadoop, SAS and Tableau
• Experience designing,developing, implementing and maintaining a database and programs to manage dataanalysis efforts
• Strong business analyticalskills a must; ability to apply business logic to design and implement datamining techniques on large data sets
• Statistical experience andmodeling a plus