Daniel Ward

Daniel Ward has a strong background in data analytics and has worked in various roles related to data analysis and management. Their most recent position was at Mesh-AI as a Lead Consultant, starting in 2022. Prior to that, they worked at Mars as the Analytics Data Platform Senior Architect from November 2020 to October 2022. In this role, they were responsible for designing and architecting people analytics data products and leading the delivery of an HR analytics data platform on Azure.

Before joining Mesh-AI, Daniel was a Big Data Engineer at 6point6 from October 2019 to November 2020. Daniel worked on a large-scale migration project to AWS, developing AWS Python data pipelines and automating pipeline creation for business users.

Daniel also has experience at KPMG, where they held multiple roles. From October 2018 to October 2019, they served as a Data Analytics Assistant Manager, overseeing performance management information development, creating KPMG's Advanced Analytics Community, and delivering a data strategy piece for a major government client. Prior to that, from November 2017 to October 2018, they worked as a Data Analytics Analyst, transitioning business users to use Microsoft PowerBI and delivering management information through Tableau.

Earlier in their career, Daniel worked at HM Revenue & Customs as a Data Analyst/Business Analyst from October 2015 to November 2017. In this role, they supported case investigation teams, processed bulk data using SAS Enterprise Guide and SQL, and gained skills in various data analysis and management tools.

Daniel's first professional experience was at Poupart as a Business Improvement Analyst from April 2015 to October 2015. Here, they worked on projects related to improving different areas of the business, including product innovation and exploring new ways to sell loose fruit.

Daniel Ward's education history includes a BSc (Hons) degree in Physics with Philosophy from Keele University, where they studied from 2011 to 2014. Prior to that, they attended Lawrence Sheriff from 2004 to 2011, but it is not specified whether they obtained a degree or field of study from there. In addition to their formal education, Daniel has obtained several certifications, including a Data Engineering Nanodegree from Udacity in November 2020, and a Google Data Engineer Exam - Professional Certification Preparation from Cloud Academy, Inc. in April 2020. Daniel also has certifications in Cloud Engineering from Qwiklabs in January 2020 and GCP Essentials from Qwiklabs in November 2019. Other certifications include Core Consulting Skills from KPMG UK in June 2018, BCS Prince2 Project Management Foundation from QA Ltd in February 2017, DSDM AgilePM Foundation from QA Ltd in February 2017, and DSDM AgilePM Practitioner from QA Ltd in February 2017. Additionally, Daniel has obtained certifications in SAS ANOVA Statistical Analysis, SAS Customised Macros, and SAS Customised Programming from SAS in January 2017, November 2016, and November 2016, respectively.