Vodafone Hiring Freshers For Engineer Trainee Details:
About Company: Vodafone Group plc is a British multinational telecommunications company. Its registered office and global headquarters are in Newbury, Berkshire, England. It predominantly operates services in Asia, Africa, Europe, and Oceania.
Company Name: Vodafone
Job Profile: Engineer Trainee
Experience Required: Freshers
- The Business Intelligence Advisor supports in the delivery of Business Intelligence (BI) capabilities, which play a key role in strategic planning and allow the organisation to gather, store, access and analyse business data to inform decision-making.
- The Business Intelligence Advisor conveys a good understanding of established concepts and procedures in ensuring the business receives a great information service that is central to their commercial decision making and growing the reliability and creativity of BIs solutions and services.
- They support the team with detailed data analysis, implement dashboards and ensure decision support systems are in place that best serve the business in their decision making, whilst adhering to Standards, policy and legislation.
- Typically reports to the Business Intelligence Manager.
* Follows processes to deliver tasks which support the team with designing new approaches, methodologies and modelling comprehensive dashboards and understands the business needs and transforming them into a feasible technical solutions;
* Uses communication skills to exchange ideas and information with internal teams in a concise and logical way;
* Delivers assigned tasks in supporting centralising and servicing reporting needs of the business, including report design, development, publishing, maintenance and special report requests;
* Delivers activities which help establish and maintain processes to analyse requirements and integrate recurring reports into a standard reporting catalogue;
* Performs other job-related duties or tasks defined by the supervisor or resulting from assigned agendas.
- Data Modelling
- Data Visualisation
- Data Analytics and Insights
- Data Management and Transformation
- AI – Deep and Machine Learning.
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