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Data Engineer
2 weeks ago
Senior, Data Engineer
Make an impact with NTT DATA
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.
The Manager, Business Intelligence is a management role responsible for managing, coordinating, designing, developing, directing and overseeing the validation of actionable and measurable reports, as well as analysis and presentation on data sources.
This role ensures that the necessary information is available for making informed business decisions and measuring established goals and objectives.
This management role is responsible for managing the processes and people responsible for accurate data collection, processing, modelling and analysis, as well as fostering a collaborative and high-performing culture across the team.
Key responsibilities:
- Manages cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Guides the development and implementation of comprehensive tools and strategies that allow raw data to be transformed into business insights.
- Works closely with stakeholders across the business to support and implement high-quality, data-driven decisions.
- Manages data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics team to follow.
- Uses advanced data modelling, predictive modelling and analytical techniques to provide input to interpreting key findings from company data and leverage these insights into initiatives that will support business outcomes.
- Manages the building, development and maintenance of data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
- Manages the identification and evaluation of emerging AI technologies and trends and driving innovation initiatives to explore new AI use cases and applications.
- Guides the design and build of technical processes to address business issues.
- Oversees the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
- Manages and optimizes processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
- Reviews, interprets and reports results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
- Oversees the data/report requests process: tracking requests submitted, prioritization, approval, etc.
- Guides the development and implementation of quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
- Provides support, coaching and development opportunities to a team of data analytics professionals within their remit.
- 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.
- Organized, strong analytical skills, and capable of handling multiple projects with executive stakeholders.
- Good understanding of statistical analysis and reporting packages.
- Ability to identify solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities.
- Ability to produce understandable and actionable reports gleaned from data.
- Problem solving, quantitative and analytical abilities.
- Excellent communication, collaboration and delegation skills.
- Programming skills with querying languages, SLQ, SAS, etc.
- Good management and leadership skills.
- Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field is preferred.
- Advanced demonstrated experience using statistical packages for analyzing datasets (Excel, PBI, R, Python etc.).
- Seasoned line manager experience managing end-to-end process improvement implementations spanning process, systems and people.
- Advanced demonstrated experience with reporting packages (Business Objects etc.), databases (SQL etc.), and ETL frameworks.
- Advanced demonstrated experience with statistical modelling techniques.
- Advanced demonstrated working with and creating databases and dashboards using all relevant data to inform decisions.
- Advanced demonstrated with big data tools.
Workplace type:
Hybrid WorkingAbout NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
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Experience LevelSenior Level