Audit Data Analytics Intern - Atlanta
- Career Level
- Not Specified
Exciting opportunity for a local undergrad or graduate student graduating between 2019 and 2020.
Assurant Inc, a Fortune 500 company, is growing strong. As we prepare to meet increasing demands for our innovative products and services, we have an opportunity for a skilled, self-starter to join the Internal Audit Data Analytics Team as an Intern at our Atlanta location. In this role, the Intern will be a contributor in the team's continued enhancement of data analytics, data mining, and continuous auditing strategies and tactics in support of the audit charter. Key Responsibilities include:
-- Development and ownership of analytics created from start to finish. Includes data sourcing, coding, execution, refinement, presentation, and documentation.
-- Coordination with auditors and partnership with IT and business departments to develop impactful yet effective analytical solutions.
-- Creation of meaningful data visualization dashboards for effective communication of audit findings.
-- Identification and implementation of data mining or data science opportunities within audit work.
-- Development of strategic and analytical frameworks to develop and conduct analytics.
We are looking for an individual who can work up to 20 hours a week during the school year and up to 40 hours during the summer and other breaks. There is a possibility that the internship may be extended up to one year for the right candidate. We offer a competitive wage, business casual environment and a flexible schedule
-- Currently enrolled in an accredited undergraduate or Masters program in Management Information Systems, Computer Science, Analytics, or Data Science and graduating between 2019 and 2020.
-- GPA of 3.0 or higher
-- Experience with data access, analysis and visualization tools, such as Alteryx, Tableau, MS-SQL, Oracle, SAS, R, Python, PLSQL Developer, and Microsoft BI.
-- Ability to quickly understand business context, problems, and objectives
-- Excellent verbal and written communication skills
One to three years of work experience with:
-- Advanced application of data analytics techniques and tools in a complex business environment, including the application of general statistical concepts against large volumes of data.
-- Collecting and analyzing complex data, evaluating information and drawing logical conclusions.
-- Data access, analysis and visualization tools, such as Alteryx, Tableau, MS-SQL, Oracle, SAS, R, Python, PLSQL Developer, and Microsoft BI.
-- Accessing and analyzing data in environments such as SAS, SQL, Oracle and AS400.