Sr. Associate - Assurance Data Analytics and Automation

Key Skills

Automation, Business Analytics, Data Analytics, Data science techniques, Data Visualization, PowerBI, Python Programming, QlikView, R Programming, SAS, SQL, Tableau

Job Description

The Assurance Data Analytics and Automation role will primarily be responsible for the design, development, and implementation of data analytics, artificial intelligence, and automation capabilities for the CAS organization. The role will include a balance of new project development in addition to data preparation and support of current tools. New projects will include cleansing, transforming, and modeling data with the goal of discovering useful insights, supporting decision-making, and suggesting improvements to the audit process. You will work to meet internal audit objectives by creating partner value, improving audit efficiency, and providing enhanced assurance.

To maintain perspective on data analytics opportunities, this team member may occasionally be selected to work with audit teams on domestic and global audits designed to test compliance with good internal control practices that are aligned with corporate policies and procedures.

Primary Responsibilities

Solution Delivery

• Develop a range of data analytics and visualization tools to effectively analyze company-wide data, thereby identifying risks, trends, and insights within different audit areas.
• Develop artificial intelligence and automation solutions using a combination of enterprise and custom developed technologies.
• Leverage data from various sources including SAP, Workday, SuccessFactors, ServiceNow, SHARP, TeamMate, etc.
• Aim to standardize and automate processes to enhance the effectiveness and efficiency of CAS.

Operational Excellence

• Assist the CAS Data Analytics team in responding to data analytic requests, producing datasets to support audits, and maintaining current analytics capabilities.
• Support and enable organizational reporting to business partners, leaders, and other key collaborators.
• Effectively partner with Lilly personnel for the purpose of identifying control risks relative to current regulations, policies, and procedures.
• Develop and maintain comprehensive documentation of data analytics, artificial intelligence, and automation tools and capabilities.

Process Ownership

• Forge partnerships with data owners, assurance function partners, and other key business leaders to identify unmet data analytics and/or process improvement needs for CAS and the broader enterprise.
• Drive the upskilling of CAS and partner assurance functions in data analytics domains.

Basic Qualifications/Requirements

• Bachelor’s Degree in Business Analytics, Statistics, Data Science, or related field
• 3 or more years of relevant professional experience in analytics, artificial intelligence, or automation
• Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position

Additional Skills/Preferences

• Experience with reporting/query, data management, and statistical tools (i.e., R, Python, SAS, SQL)
• Experience in data visualization tools: Tableau, Qlik, or PowerBI (preferred)
• Experience in project management
• Exhibited critical thinking abilities in areas of complex subject matter.
• Experience working with or have domain knowledge of Internal Audit
• Ability to effectively collaborate with a wide variety of cross-functional partners
• Strong written and interpersonal communication
• Diligent with a high degree of accuracy and the ability to thrive in a fast-paced environment where multi-tasking and prioritizing is critical
• Self-starter capable of working independently and collaboratively across a network with a proactive approach
• Capable of recognizing areas for process enhancement and implementing lasting, innovative solutions
• Demonstrate strong motivation and rapid learning agility, coupled with a growth mindset

Travel

Up to 5-10% travel based on business needs.

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