Business Intelligence Analyst at NTT Ltd.

• The Business Intelligence Analyst is a seasoned subject matter expert, tasked with participating in the transformation of data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies. 
• This role is required to transform data into critical information and knowledge that can be used to make sound business decisions and is also responsible for the establishment of system applications and/or tools that the company uses to record, organize, store, secure, and access data. 

Key Responsibilities:

• Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
• Creates specifications for reports and analysis based on business needs and required or available data elements.
• Accountable for contributing to the definition, development, enhancement and tracking of metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.
• Works across multiple teams, to ensure analytics are valid, meaningful, and provides actionable and comprehensive insights.
• Extracts and analyzes data, statistics, and information from various sources and interpret and produce the relevant reports, summaries, and briefing notes that will be used to inform business decisions.
• Works with a variety of internal stakeholders to translate needs into data reports, data insights, and extracts.
• Ensures that the client receives the required support to implement recommendations and solutions.

Knowledge and Attributes:

• Good understanding of data mining principles, predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Ability to identify solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities.
• Excellent analytical, problem-solving, and communication skills.
• Excellent ability to work independently and collaborate across multiple teams and build sound working relationships.
• Excellent understanding of current data protection and privacy laws.
• Passionate about achieving results and statistics.
• Technical expertise and knowledge of statistical concepts.
• Ability to identify trends, business opportunities, etc.
• Excellent awareness of critical business issues and priorities.
• Good understanding of statistical analysis and reporting packages.

Academic Qualifications and Certifications:

• Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field is preferred

Required experience:

• 3+ years of experience in BI development, with a strong focus on Power BI.

Proficiency in:

• Power BI Desktop and Power BI Service
• DAX (Data Analysis Expressions)
• Power Query (M language)
• SQL for querying and transforming data
• Experience with data modeling, star/snowflake schemas, and performance tuning.
• Familiarity with Microsoft Azure (e.g., Azure SQL, Synapse, Data Factory) is a plus.
• Understanding of data governance, security, and compliance (e.g., POPIA, GDPR).