Principal Data Analytics Specialist at NTT Ltd.

Your day at NTT DATA

• The Principal Data Analytics Specialist is a highly skilled expert tasked with managing the transformation of data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies. 
• This role plays an important role in turning data into critical information and knowledge that can be used to make sound business decisions and is accountable 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 deep expert technical specialist proficiency in generating visual analytics, dashboards, and ad hoc reports for the business.

Key Responsibilities:

• Advises on 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.
• Develops, defines, enhances and tracks metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.
• Works cross functionally, using advanced data analysis and tools to ensure analytics are valid, meaningful, and provide actionable and comprehensive insights.
• Ensures that data across various platforms, including social media, and present trends and patterns is analyzed.
• Designs, develops and maintains business intelligence reports and analytics.
• Extracts and analyzes data, statistics, and information from various sources and interprets and produces 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.
• Optimizes visual information for easier consumption and actionable metrics.
• Identifies and maintains processes for ensuring data accuracy and current relevance and representation.
• Provides recommendations process improvements to streamline data collection and report generation.
• Reviews and edits requirements, specifications, business processes, and recommendations related to proposed solutions.
• May be required to coach and develop team members on data analytics and related tools to achieve required business outcomes.
• Knowledge and Attributes:
• Good understanding of data 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.
• 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.
• Excellent awareness of critical business issues and priorities.
• Good understanding of PowerBI as a reporting package.

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:

• Extended demonstrated experience working in an analytics capacity.
• Experience in MS Azure , PowerBI , Fabric
• Additional skills in Snowflake and Databricks will be advantage