consultancy known for leading a world class data analytics/warehouse capability and specialising in AI and Warehouse Manager who will be responsible for enabling future needs for advanced analytics and AI. You technical specifications for Business Intelligence (BI) reports and applications Design and develop reports Qualifications and Experience: Relevant IT and data analytics qualifications e.g. B.Tech or B.Sc. (Informatics) Microsoft certification – Advantageous 3 – 5 years of management experience taking care of teams between 5 – 8
quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support from relational databases efficiently. Strong analytical mindset with the capability to derive actionable patterns, and anomalies. Experience in providing analytical insights to support operational decision-making communication skills to effectively convey complex analytical findings to non-technical stakeholders and collaborate a Data Scientist Experience in SQL, SAS and Power BI Have experience with scorecards Have experience with
organisational performance. Responsibilities: Utilise advanced analytical techniques to interpret large datasets and business intelligence tools (such as Tableau, Power BI, or similar) to create interactive data Translate well as making recommendations. Stay abreast of advancements in business intelligence tools, technologies with data visualisation tools such as Tableau, Power BI, or similar. The Reference Number for this positio
Engineer . The ideal candidate will have a strong analytical and mathematical background to help drive value closely with the development team, data analysts and BI analysts to help build and maintain data flows that infrastructure. Help streamline data science and analytics workflows by improving data delivery and quality information technology, engineering, or related analytical discipline required. Three or more years of experience and data visualization/exploration tools (Power BI, Tableau etc). Familiarity with common python based
supplier risk, customer risk, and third-party risk management are on a recruitment drive for a Data Scientist scorecards to other systems (API/Queue) Schedule analytical activities (automation) Ability to identify the processing of structured and unstructured data. Advanced statistical/machine learning with applications principles. Project management experience Experience with data visualisation tools, such as Power BI, Tableau,
from relational databases efficiently. Strong analytical mindset with the capability to derive actionable patterns, and anomalies. Experience in providing analytical insights to support operational decision-making communication skills to effectively convey complex analytical findings to non-technical stakeholders and collaborate a Data Scientist Experience in SQL, SAS and Power BI Have experience with scorecards Have experience with
Responsibilities: Help streamline our data science and analytics workflows by improving data delivery and quality deliver quality usable data to data analysts and BI analysts for reporting. Develop models that can be information technology, engineering, or related analytical discipline required. Three or more years of experience
would be advantageous Minimum 7 years in a Microsoft BI environment, of which at least 2 years must have Synapse Azure Data Factory Azure Data Lake Azure Power BI Azure DevOps Wherescape 3D Wherescape RED SQL Server
This well-established management firm specializing in online media and digital marketing is currently Developer to join their team. This company has an advanced offering spanning digital development, digital communication, sustainable solutions, and customer analytics, and prioritize client satisfaction in all that
with data visualization tools (e.g., Tableau, Power BI, Grafana) Analyse complex datasets to identify trends