Join a collaborative team in our growing company, and take your career to the next level!

The Senior Analytics Auditor will be a key Subject Matter Expert and contributor in the Internal Audit Services (IAS) continued enhancement of data analytics, data mining, and continuous auditing strategies and tactics in support of the audit charter. He or she completes all internal audit work in compliance with established audit methodology while meeting all organizational and professional ethical standards.

Key responsibilities include:

Performance of Analytics (60%)

• Develop and leverage subject matter expertise in the knowledge of Assurants data environment;ability to access and analyze complex data; use of analytical tools and languages such as Alteryx and Python; and ability to interpret, visualize and communicate results using dashboarding tools such as Tableau and Power BI.
• Provide both advisory and execution support in audits by identifying, developing, documenting, or executing audit analytics during all relevant stages of an audit.
• Perform data mining and analysis to facilitate the identification and communication of outliers and trends in the business.
• Perform descriptive, statistical, and text analytics to test if the business is meeting its operational, financial, and regulatory requirements and benchmarks.
• Design and execute standalone Data Analytics audit projects as warranted in support of department objectives.
• Assist auditors in obtaining necessary data for audits. Identify, develop and maintain continuous auditing/monitoring activities.
• Provide additional support on audits or other IAS initiatives when necessary.

Department Development (20%)

• Assist in, and sometimes lead, department initiatives to review and improve department processes, tools and methodologies related to the use of Data Analytics.
• Mentor colleagues and provide training on professional standards, best practices, tools and strategies for personal and department success.

Business Knowledge, Technical Knowledge and Individual Development (20%)

• Actively learn and apply mature and emerging technical knowledge gained through professional development opportunities, including external and internal training.
• Actively seek to build and apply business knowledge to complement technical expertise in design and performance of analytical procedures.

Required experience

• Three years of 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.
• Three years of collecting and analyzing complex data, evaluating information and drawing logical conclusions.
• Three years with data access, analysis and visualization tools, such as Alteryx, Tableau, Excel, MS-SQL, Oracle, SAS, R, Python, PLSQL Developer, and Power BI.
• Three years accessing and analyzing data in environments such as SAS, SQL, Oracle and AS400.

Experience with the following is preferred:

• Financial services or insurance industry data.
• Performing data analytics in an Internal Audit or Compliance environment.
• Applying fraud discovery techniques during design and execution of data analytics.
• Formal communications (written reports and oral) with all levels of staff and management, particularly the creation and maintenance of management reporting dashboards.
• Developing or maintaining a Continuous Auditing / Continuous Monitoring platform.

Education required

• BS/BA degree from an accredited college or university preferably in Management Information Systems, Data Science, Statistics, Business, Management, Accounting, Finance or related field.
• Preferred: Masters degree in Data Science, Analytics, Statistics or MBA from an accredited college or university, and one or more related professional certifications in accounting or auditing (CPA, CIA, CISA, CFE, etc.).

Travel required:

• Ability to travel domestically up to 25% to provide coverage to multiple IAS locations and to participate in department meetings. International travel would be rare, but not out of the question as needs arise.

Skills required:

• Ability to consider and apply statistical concepts during analysis of large volumes of business data.
• Ability to extract, define and analyze complex data, and draw relevant conclusions in support of audit objectives.
• Ability to proactively expand knowledge and understanding of technical environments through self-directed research, on-the-job experience, and professional networking.
• Ability to write clearly to communicate relevant impact of analytic results.
• Ability to document work performed to enable external re-performance.
• Ability to think critically through recognizing assumptions, evaluating arguments and drawing conclusions.
• Ability to maintain composure and deliver results while under pressure managing multiple assignments and priorities.

Preference will be given to those with the following skills:

• The ability to facilitate meetings and presentations.
• The ability to mentor and coach colleagues through influence to achieve team results.