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Business Intelligence Analyst

NTT DATA

Bangalore, Karnataka, India

NTT DATA logo

Category

IT

Position Type

Full-Time

Company Overview

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Position Summary

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. This role is required to have seasoned technical specialist proficiency in generating visual analytics, dashboards, and ad hoc reports for the business.

Key Responsibilities

  • Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
  • Creates 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.
  • 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, using data analysis and tools to ensure analytics are valid, meaningful, and provides actionable and comprehensive insights.
  • Analyzes data across various platforms, including social media, and present trends and patterns.
  • Designs 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.
  • 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.
  • Maintains processes for ensuring data accuracy and current relevance and representation.
  • Reviews and edits requirements, specifications, business processes, and recommendations related to proposed solutions.
  • Ensures that the client receives the required support to implement recommendations and solutions.

Experience Required

Seasoned experience working with social media platforms such as LinkedIn, Facebook, etc.

Education Requirements

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

Technical Skills

Soft Skills

  • 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.

Benefits

None specified

Preferred Qualifications

None specified