Data Modeller at NTT Ltd.

Key Roles and Responsibilities:

• Manage the creation of data models in a structured data format to enable analysis thereof
• Develop and design scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources, Participate in the transformation of object and data models into appropriate database schemas within design constraints. Interpret installation standards to meet project needs and produce database components as required
• Gather and analyse data from multiple sources to identify trends, patterns, and insights that inform business decisions
• Develop and deliver reports that provide stakeholders with actionable insights and recommendations
• Create and maintain dashboards that visualize key performance indicators (KPIs) and other relevant metrics
• Work with cross-functional teams to identify data requirements and ensure data accuracy and integrity
• Collaborate with other teams to integrate data from various sources and systems
• Identify opportunities for process improvement and automation to enhance the efficiency and effectiveness of reporting and analytics
• Stay up-to-date with industry trends and best practices in reporting, analytics, and insights

Academic Qualifications and Certifications:

• Bachelor's degree with 8 years related professional experience
• Relevant certifications, e.g., SQL, PowerBI
• Certified Data Engineer, Certified Professional

Required Experience:

• 6-10 years of experience gathering requirements and analysing data
• Experience working with data visualization tools such as Tableau, Power BI, or QlikView
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Ability to work independently and manage multiple projects simultaneously
• Experience working with cross-functional teams
• Proficiency in SQL, Python and other programming languages commonly used in data analysis.
• Advanced Excel and PowerPoint skills
• Proficient in creating story lines and insights from analytical outputs

Technical Competencies (List the key technical competencies)

• Data Analysis
• Reporting and Visualization
• Database management and design
• Business acumen
• Technical aptitude
• Data governance
• Transact SQL
• Python
• Azure Synapse Analytics
• Power BI and SSRS
• Databricks
• Data modelling