Senior Business Intelligence Analyst at NTT Ltd.

• The Senior Business Intelligence Analyst is an advanced subject matter expert, tasked with holding accountability for the transformation of data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies.
• This role is responsible for turning data into critical information and knowledge that can be used to make sound business decisions and for the establishment of system applications and/or tools that the company uses to record, organize, store, secure, and access data.
• This role is required to have advanced technical specialist proficiency in generating visual analytics, dashboards, and ad hoc reports for the business.

Key responsibilities:

• Advised on the analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
• Accountable for creating forecasts, providing recommendations and creating strategic/tactical plans based on business data and market knowledge.
• Creates specifications for reports and analysis based on business needs and required or available data elements.
• Consults on the definition, development, enhancement and tracking of metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.
• Contributes technical insight, suggestions, and knowledge to others within the relevant teams.
• Creates relevant reports and presents on trends.
• Directs the analysis of data across various platforms, including social media, and present trends and patterns.
• Ensures that the client receives the required support to implement recommendations and solutions.
• Designs, develops and maintains business intelligence reports and analytics.
• 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.
• Understands and agrees on the reporting specification format required from the business.
• Works with a variety of internal stakeholders to translate needs into data reports, data insights, and extracts.
• Optimizes visual information for easier consumption and actionable metrics.
• Identifies and maintains processes for ensuring data accuracy and current relevance and representation.
• Reviews and edits requirements, specifications, business processes, and recommendations related to proposed solutions.

To thrive in this role, you need to have:

• 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.
• Strong ability to collaborate across multiple teams and build sound working relationships
• Excellent analytical, problem-solving, and communication skills.
• Strong understanding of current data protection and privacy laws.
• Passionate about achieving results, with a strong knowledge of statistical concepts
• Strong ability to identify trends, business opportunities, etc.
• Strong awareness of critical business issues and priorities.
• Programming skills with querying languages, SQL, SAS, etc.

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 (preferably a master’s or PhD or equivalent).

Required experience:

• Advanced demonstrated experience working in an analytics capacity.
• Advanced demonstrated experience working with data collection tools and software.
• Advanced demonstrated experience working with social media platforms such as LinkedIn, Facebook, etc.
• Advanced demonstrated experience producing Excel-based reporting.
• Advanced demonstrated experience with reporting packages (Business Objects etc.), databases (SQL etc.), and ETL frameworks.