Data BI Developer

Envision Employment Solutions is currently looking for a Data BI Developer  for one of our partners, a global leader in the IT Services and IT Consulting.
Key Responsibilities Leading, designing, analyzing and developing the required reports and dashboards for Internal Bank customers (Finance, Risk, Marketing, etc.
) Effectively use statistical tools, data modelling, visualizations and narrative to identify and present / story-tell’ meaningful trends to different audiences.
Account for variances, highlight exceptions, risks and opportunities, and make recommendations to inform strategic and operational decision making.
Leading, designing, analyzing and developing the documentation to ensure adherence to corporate reporting standards and processes.
Ensure outputs are presented professionally in a timely, accurate and efficient manner.
Ensuring data is handled ethically and all processes are undertaken in compliance with company policy, internal controls, data protection legislation and relevant national / industry standards.
Leading, designing, analyzing and developing the BI / analytical capability within the Strategy & Governance team and wider business through training and knowledge-transfer.
Support the development of insight-driven, data literate corporate culture.
Leading, design, analyze and develop of all the required reports for the different business departments and make them available for the business to be able to run them as needed  Build and maintain strong collaborative relationships with senior internal stakeholders, subject matter experts and external clients.
Bachelor’s degree in Computer Science, Information System or a related field.
Proven experience in a similar Business Intelligence or Data Analytics role is required.
Strong hands-on experience with PL/SQL, Tableau, and Teradata .
Solid understanding of Data Warehouse (DWH) concepts .
Advanced proficiency in SQL is mandatory.
Strong business analysis skills , with the ability to translate requirements into analytical solutions.
Excellent numerical and analytical skills, utilizing statistical tools and technologies for data analysis.
Expertise in data visualization and storytelling to communicate insights effectively.
Ability to identify trends, analyze variances, and highlight exceptions, risks, and opportunities.
Ability to produce clear, concise, and accurate reports with high attention to detail and professional standards.