Data BI Developer

Description

QStaffers 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.

Requirements

• Bachelor’s degree in Computer Science, Information System or a related field.

• Proven experience in a similar Business Intelligence or Data Analytics role is require

• Strong hands-on experience wit h PL/SQL, Tableau, and Teradata.

a.• Solid understanding o f Data Warehouse (DWH) concepts.

• Advanced proficiency i n 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 i n data visualization and storytelli ng 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.