Ben Lyttleton
About Ben Lyttleton
Ben Lyttleton is a Senior Manager in Analytics at Protiviti, known for his expertise in data quality and integrity, with a strong background in communication and time management.
Current Position at Protiviti
Ben Lyttleton currently serves as the Senior Manager of Analytics at Protiviti, a role he has held since 2021. Based in the Washington DC-Baltimore Area, his responsibilities include overseeing analytical projects and ensuring data quality and integrity. His leadership in this role is critical for translating complex data into actionable business insights.
Previous Role at Bixal
Before his current position, Ben Lyttleton worked at Bixal as the Data Analytics Lead from 2018 to 2021. During his three-year tenure in the Washington D.C. Metro Area, he was responsible for managing data analytics initiatives and leveraging data to drive business outcomes.
Experience at Amtrak and Celerity
In 2018, Ben Lyttleton was a Predictive Modeler and Data Analyst at Celerity for nine months in McLean, Virginia. Prior to that, he served as the Lead Controls Consultant and IT Auditor for Amtrak from 2015 to 2017. His experience in these roles involved predictive modeling, IT auditing, and ensuring robust control measures within IT frameworks.
Educational Background
Ben Lyttleton holds a Bachelor of Commerce in Economics and a Bachelor of Arts in Chinese Language and History, both from Deakin University, where he studied from 1992 to 1996. Additionally, he earned a Graduate Certificate in Data Analytics from Boston University in 1970. His diverse educational background equips him with robust analytical, historical, and cultural insights.
Skills and Expertise
Ben Lyttleton is known for his expertise in managing project life cycles while maintaining data quality and integrity. His strong communication and time management skills enable him to translate complex data into valuable business insights. He is outgoing and professional, focusing on helping organizations achieve their strategic goals through effective data analysis.