Business Intelligence Developer – People & Culture Analytics needed at NTT Ltd.

Your day at NTT DATA

• The Principal Business Intelligence Analyst 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.
• Develops forecasts, recommendations and 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.
• 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.
• Provides recommendations on the identification of the relevant sources of data from which to draw information.
• 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.

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.
• 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.
• Programming skills with querying languages, SLQ, SAS, etc.
• 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:

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