Profile
DATADIVERS.IO
🏢 SME
Last updated: 29 Oct 2024 |
DataDivers is a dedicated consultancy for all things data and analytics. Our expertise spans data strategy, data platforms, DataOps, advanced analytics, data science, and building a data culture in our clients’ organisations. We are exceptional problem solvers who turn data into real business insigh...See more
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Headquarter Australia |
Year founded 2020 (4 years) |
Funding status Private |
Company type SME |
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Key People
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Data Consultant Lead
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Dive Centre Leader
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Senior Data Analyst
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- 35· Australia
Job function
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Seniority
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.