Senior Manager - Data & Digital Analytics at NTT Ltd.

Want to be a part of our team?

The Senior Manager, Data Science is a senior people management role accountable for operationally managing other seasoned or senior Data Scientists / Data Analysts. In addition to managing a team, this role applies and inspires the adoption of data science and analytics within NTT. The primary responsibility of this role is to manage data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques are created and delivered.

Working at NTT

Key Roles and Responsibilities:

• Manage a team of Data Scientists / Data Analysts to ensure achievement of team objectives/KPIs
• Identify opportunities for leveraging data to drive business solutions
• Provide guidance in the research, design, implementation and deployment of scalable data analytics vision and machine learning solutions to challenge complex business issues
• Manage company’s data with third party sources of information when needed
• Provide guidance in the enhancement of data collection procedures to include information that is relevant for building analytic systems
• Provide guidance to process, clean, and verify the integrity of data used for analysis, and building algorithms necessary to find meaningful answers
• Perform analysis using programming languages or statistical packages such as Python and R etc.
• Guides on the mining and analysis of data to drive optimization and improvement of business strategy
• Provide guidance to develop scalable and highly available applications leveraging the latest tools and technologies
• Creatively visualizes and effectively communicates results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business
• Set operational objectives for successful launch by leading and mentoring diverse, geo-distributed teams through innovation, bootstrapping, pilot, production, scaling, and maintenance phases with multiple stakeholders to the highest levels of quality and performance
• Manage the development of SQL Queries for reports and dashboards
• Analyse relational and transactional databases to provide data analysis, and present results in a clear manner
• Provide guidance on the creation of documentation around processes and procedures and manage code reviews
• Applies industry standards best practices to development activities
• Provide guidance to working on data set to ensure solutions are successfully executed, within agreed upon time frames
• Continuously coach and mentor team to understand and apply data to solve business solutions
• Continuously ensure team remains abreast of latest technology and tools in the area of data science

Knowledge, Skills and Attributes:

• Excellent knowledge of data modelling
• Ability to thrive in a dynamic, fast-paced environment
• Quantitative and qualitative analysis skills
• Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science and analytics
• Curiosity to sift through data to find answers and more insights
• Excellent knowledge of the information technology industry within a matrixed organisation and the typical business problems such organisations face
• Ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making
• Ability to create a storyline around the data to make it easy to interpret and understand
• Self-driven and able to work independently, yet acts as a team player
• Able to apply data science principles through a business lens
• Desire to create strategies and solutions that challenge and expand the thinking of everyone around you
• Ability to think strategically about how to use data to drive competitive advantages
• Excellent leadership skills

Academic Qualifications and Certifications:

• Bachelor’s degree or related in a relevant field such Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science etc.
• Relevant programming certification(s)
• Agile certification preferable

Required Experience:

• Extended demonstrable experience with one or more programming languages (e.g. Python) and database languages (e.g. SQL)
• Extended demonstrable experience with data warehouse and data lake technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools
• Extended demonstrable experience in data modelling
• Extended demonstrable experience idesigning tabular models in Analysis Services
• Extended demonstrated experience with Azure Synapse Analytics, SQL pools, data lakes.
• Extended demonstrated experience in advanced Power BI, including complex DAX expressions
• Extended demonstrable experience of data migration skills with Azure Data Factory and Integration Services
• Extended demonstrable experience in Elastic search, Scoring, and recommendation on very large volumes of data
• Extended demonstrated experience with Agile Development Methodologies and Test-Driven Development
• Solid line manager experience leading and managing a team of Data Scientists / Data Analysts

Skills Summary

Big Data, Data Management, Data Modeling, Data Science, Data Warehousing (DW), Information Architectures, Machine Learning Algorithms