Andrew D'urban Jackson
About Andrew D'urban Jackson
Andrew D'urban Jackson is a Senior Technical Business Analyst with a background in Cellular Biology from the University of Exeter. He has experience in fintech and retail sectors, currently working at Codat since 2021, and has held various analytical roles in notable companies.
Current Role at Codat
Andrew D'urban Jackson serves as a Senior Technical Business Analyst at Codat since 2021. In this role, he works with Codat's universal API, connecting fintech providers and financial institutions with major accounting, banking, eCommerce, and payments platforms. His responsibilities involve addressing technically demanding and data-intensive issues, leveraging his expertise to develop practical solutions.
Previous Experience in Business Analysis
Prior to his current position, Andrew held several roles in business analysis. He worked at eflow ltd as a Business Analyst from 2017 to 2018 and as a Technical Support Analyst from 2016 to 2017. He also served as a Senior Business Analyst at Farmdrop from 2020 to 2021 and as a Business Analyst at THEO PAPHITIS RETAIL GROUP LIMITED from 2019 to 2020. His experience spans both fintech and retail sectors.
Education and Academic Background
Andrew studied at the University of Exeter, where he earned a BSc Hons in Cellular Biology with a 2.1 classification from 2009 to 2012. He also served as a Senior Student Ambassador at the university from 2011 to 2012. Earlier, he attended Lingfield Notre from 2001 to 2008.
Experience in Coaching and Product Management
Andrew has experience beyond business analysis, having worked as a Year Out Hockey Player/Coach at Fremantle Hockey Club in Perth, Australia, from 2015 to 2016. Additionally, he served as a Junior Product Manager at Landmark Information Group from 2013 to 2014, where he gained insights into product development.
Motivation and Professional Focus
Andrew is motivated by challenges that require a thorough understanding of the surrounding environment. He focuses on developing practical solutions to complex problems, particularly in technically demanding and data-intensive contexts.