Reference: CPT005232-KJ-1 Data Analytics Engineer/ Specialist A leadership team that values autonomy prototypes and products is looking for a Senior Data Analytics Engineer/ Specialist to join their team. Qualifications teams. ● History delivering small to large scale analytics, data science and business intelligence projects Knowledge and Skills ● Strong data exploration, analytical, modelling, and reporting skills ● Strong communication desire to produce high-quality, value-adding analytics and MLOps solutions ● Ability to take end-to-end
to guide, design and build robust, innovative, analytical solutions.
implementation of an analytics enabled business to create value through data engineering and analytics. Design, develop optimise business intelligence DataMarts for analytics and reporting that focus on generating insights exploit untapped opportunities using advanced analytics, machine learning and deep-learning through the
Disabled] Description Job Title: Full Stack Python Analytics Engineer Job Summary: We are seeking a skilled Python Analytics Engineer to join our dynamic IT team at Reverside. The Full Stack Python Analytics Engineer
What you will be doing:
qualifications (degrees/ diplomas) for an in-service training in the various occupations mentioned below: CAREER administration: Assisting in special projects related to analytics, such as predictive modelling, workforce planning TECHNICAL AND BEHAVIOURAL COMPETENCIES: Strong analytical skills with proficiency in data analysis tools
industryTraining
Query resolution and Supplier/User Training),
world class data analytics/warehouse capability to enable future needs for advanced analytics and AI. Maintain field to assist the business to keep its data analytics and management capability up-to-date, and able organising – time and task management On- the-job training/qualifications: Microsoft Sql Server Oracle Power Excel Starquest Some experience in predictive analytic platforms will be advantageous. These include: Experience and Qualifications Relevant IT and data analytics qualifications e.g. B.Tech or B.Sc. (Informatics)
initiate and plan fraud awareness campaigns and training in general and in specific areas of the business with a strong understanding and application of analytical techniques.