4 of 4 Permanent Data Transformation Jobs in Buckinghamshire

Commercial Data Analytics Manager

Location
Milton Keynes, England, United Kingdom
Commercial Data Analytics Manager. Package: £47,760 to £60k (depending on experience) Location: Reading, with free onsite parking. Working pattern: AWE operates a 9-day working fortnight, with every other Friday as a non-working day. This role is eligible for hybrid working, meaning employees typically spend three days … shared purpose is to help keep the nation safe. Could this role be the opportunity for you to play your part? The Commercial Data Analytics Manager leads the strategic and operational management of commercial data across AWE. This role is critical in ensuring accuracy, availability and actionable ...

Data Analyst

Location
Milton Keynes, England, United Kingdom
Group is a global Consulting firm specialising in Data & Analytics. We are committed to unlocking an organisations’ potential and hidden value by offering in-depth analytics expertise that empowers our clients’ business models to become successful data-driven enterprises. Innovation is in our DNA. We constantly innovate … value inclusivity and want to join a culture that empowers you to show up as your authentic self, join us. About The Data Analyst Role As a Data Analyst, you will be responsible for analysing data using statistical techniques, implementing and maintaining databases, gathering data from ...

Interim Xero-to-NetSuite Migration Lead — AI-Driven

Location
Milton Keynes, England, United Kingdom
Keynes seeks an Interim NetSuite Migration Lead to own a critical 3‐month transition from Xero to NetSuite. You will design the migration, manage data transformation, and oversee testing, with a focus on AI-driven automation to accelerate delivery. The role requires hands-on experience delivering Xero ...

Interim NetSuite Migration Lead: AI-Driven Finance Upgrade

Location
Milton Keynes, England, United Kingdom
month transition from Xero to NetSuite, including a fixed cutover deadline. The role requires hands-on migration delivery, architecture design, data transformation, and strong experience with AI-enabled automation to accelerate the project while ensuring the finance team is self‐sufficient at go-live. #J-18808-Ljbffr ...