**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. **Your day at NTT DATA** The Senior Team Lead, Business Intelligence is a developing management role responsible for providing input to the coordination, design, development, directing and oversight of the validation of actionable and measurable reports, as well as the analysis and presentation on data sources. This developing management role is responsible for ensuring that the necessary information is available for making informed business decisions and measuring established goals and objectives. This role is required to manage 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. **What you'll be doing** **Key Responsibilities:** + Manages, coordinates, and leads the development of processes for effective data analysis and reporting. + Manages cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. + Provides input to 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. + 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. + Assesses the potential impact of AI on business processes, customer experience, and revenue generation, and guiding decision-making based on ROI and feasibility analysis. + Addresses ethical, legal, and regulatory considerations related to AI, ensuring compliance with data privacy and security requirements. + Manages 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. + Monitor 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. **Knowledge and Attributes:** + 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. + 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 such as SLQ, SAS, etc. + Relevant management and leadership skills. **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:** + Seasoned demonstrated experience with business intelligence technologies (MS Business Intelligence Stack - Microsoft Fabric Fabric, Power BI SQL, Azure Synapse, SSAS, ETL frameworks, Business Objects and QlikView) + Seasoned demonstrated experience using statistical packages for analyzing datasets (Excel, PBI, R, Python etc.). + Seasoned experience managing end-to-end process improvement implementations spanning process and systems. + Experience in AI Tools in the Business Intelligence discipline (preferable Co-Pilot) + Seasoned demonstrated experience with statistical modelling techniques. + Seasoned demonstrated working with and creating databases and dashboards using all relevant data to inform decisions. + Developing people management experience. **Workplace type** **:** Hybrid Working **About 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.