Job Opportunities at NTT Ltd.

• The Senior Business Intelligence Analyst is an advanced subject matter expert, tasked with holding accountability for the transformation of data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies.
• This role is responsible for turning data into critical information and knowledge that can be used to make sound business decisions and 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 advanced technical specialist proficiency in generating visual analytics, dashboards, and ad hoc reports for the business.

Key responsibilities:

• Advised on the analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
• Accountable for creating forecasts, providing recommendations and creating 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.
• Consults on the definition, development, enhancement and tracking of metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.
• Contributes technical insight, suggestions, and knowledge to others within the relevant teams.
• Creates relevant reports and presents on trends.
• Directs the analysis of data across various platforms, including social media, and present trends and patterns.
• Ensures that the client receives the required support to implement recommendations and solutions.
• Designs, develops 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.
• Understands and agrees on the reporting specification format required from the business.
• 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.
• Reviews and edits requirements, specifications, business processes, and recommendations related to proposed solutions.

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.
• Strong ability to collaborate across multiple teams and build sound working relationships
• Excellent analytical, problem-solving, and communication skills.
• Strong understanding of current data protection and privacy laws.
• Passionate about achieving results, with a strong knowledge of statistical concepts
• Strong ability to identify trends, business opportunities, etc.
• Strong awareness of critical business issues and priorities.
• Programming skills with querying languages, SQL, SAS, etc.

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 (preferably a master’s or PhD or equivalent).

Required experience:

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

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• The Practice Lead for Data Management is responsible for leading the strategic design and operational execution of enterprise data management initiatives. This includes overseeing the development of the data catalog, implementing data quality frameworks, managing role-based security access, designing the data marketplace, and supporting the architecture of the overall data analytics solution

Key Responsibilities:

Data Catalog Development

• Lead the implementation and continuous improvement of the enterprise data catalog.
• Ensure metadata is accurately captured, maintained, and accessible to stakeholders.

Data Quality Management

• Define and implement data quality metrics and reporting frameworks.
• Oversee the creation of automated data quality reports and dashboards.
• Collaborate with data stewards and owners to resolve data quality issues.

Role-Based Security Access

• Design and enforce role-based access control (RBAC) policies across data platforms.
• Ensure compliance with data privacy and security regulations (e.g., POPIA, GDPR).

Data Marketplace Design

• Lead the design and rollout of a self-service data marketplace.
• Ensure data assets are discoverable, well-documented, and governed.

Analytics Solution Design Support

• Collaborate with data architects and engineers to support the design of scalable, secure, and high-performing analytics solutions.
• Ensure alignment between data management practices and analytics architecture.

Leadership & Governance

• Define and promote data management best practices across the organization.
• Mentor team members and foster a culture of data literacy and accountability.
• Participate in data governance councils and strategic planning initiatives.

Knowledge and Attributes:

• Excellent understanding of data modelling, statistical methods and machine learning techniques.
• Excellent ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Strong curiosity to sift through data to find answers and more insights.
• Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Excellent 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.
• Excellent ability to apply data science principles through a business lens.
• Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
• Excellent ability to think strategically about how to use data to drive competitive advantages.
• Excellent management and leadership skills.

Academic Qualifications and Certifications:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Agile certification preferred.
• Certifications in data management or governance (e.g., CDMP, DAMA).
• Experience with modern data platforms (e.g., Snowflake, Databricks).
• Familiarity with BI and analytics tools (e.g., Power BI, Tableau).

Required experience:

• Bachelor’s or Master’s degree in Information Systems, Computer Science, or related field.
• 7+ years of experience in data management, data governance, or enterprise data architecture.

Proven experience with:

• Data catalog tools (e.g., Collibra, Alation, Microsoft Purview)
• Data quality tools (e.g., Informatica, Talend, Great Expectations)
• RBAC and data security frameworks
• Cloud platforms (Azure, AWS, or GCP)
• Data marketplace concepts and tools
• Strong understanding of data governance, metadata management, and regulatory compliance.
   

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Your day at NTT DATA

• As a Client Manager at NTT DATA, your role will center on building and nurturing relationships with our assigned accounts, ensuring client satisfaction, and driving expansion across all solution areas. You'll use our state-of-the-art tools and methodologies to understand clients' needs and offer tailored solutions that address their specific business requirements.
• You'll manage and grow relationships by leveraging strategic thinking and advanced planning skills, coordinating with our global network of offices to deliver exceptional client experiences. Your focus will include meeting revenue and margin targets while minimizing client churn and maximizing retention.
• By utilizing your extensive knowledge of the latest technology sales methods and trends, you will develop and implement account strategies. You'll work closely with key stakeholders to realize business opportunities, contribute to revenue growth, and support clients throughout their buying lifecycle.
• Your day will involve using tools like Salesforce.com to manage accounts, opportunities, pipelines, and forecasts. You will analyze the client's situation, plan strategically, and navigate various geographies to drive sales engagement and meet quota targets.
• Acting as the first point of contact, you'll address client issues and ensure consistent client satisfaction. You will use your expertise to transform clients' needs into actionable solutions, helping them achieve their business goals with our services.

To thrive in this role, you need to have:

• Strong sales business acumen, with a focus on planning and leveraging tools to meet business requirements.
• Proven skills in client engagement and management throughout the client lifecycle to improve relationships and drive sales growth.
• Deep knowledge of NTT DATA's offerings, client applications, use cases, and market trends.
• Ability to identify and advance opportunities at assigned clients and prospects.
• Extensive experience in global partner management and sales environments, with a focus on business development.
• Proficiency in using Salesforce.com or other CrM platforms.
• Capability to drive alignment to a common vision across multiple stakeholders.
• A collaborative mindset and the ability to adapt communication styles for diverse audiences.
• Proven ability to work independently, with strong problem-solving skills, and influence team members to achieve short- to medium-term goals.
• A bachelor's degree or equivalent in business or a sales-related field.

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Your day at NTT DATA

• As a Senior Networking Technology Sales Specialist at NTT DATA, you will use your expertise to pursue and secure qualified leads, working closely with our Client Management team and other departments. As a Sales Specialist, you are also responsible for generating your own pipeline and opportunities within your assigned client base. You'll identify new opportunities within existing accounts and present tailored solutions that meet client needs, showcasing our value propositions and innovative revenue models.
• In this role, you will spend a significant amount of time directly engaging with clients at various levels within their organizations, as well as collaborating with our internal subject matter experts. You'll contribute to the pre-sales process by working with pre-sales architects to create optimal solutions while also building strong, lasting relationships with clients.
• Your deep knowledge of networking technology will support the closure of sales. You'll address any conceptual challenges during the sales process and consistently bring meaningful conversations to the table. By keeping an eye on the competitive landscape, you will help define and execute sales strategies that not only meet but exceed market demands.
• Working with technology vendors, you'll ensure a thorough understanding of their solutions and how they contribute to our offerings. You will articulate client solutions that focus on deliverables rather than products, preparing and conducting engaging workshops and presentations. By understanding our clients' business goals, you will personalize recommendations and drive sales processes smoothly to closure.

To thrive in this role, you need to have:

• Proven success in achieving and exceeding sales and financial goals
• Excellent ability to deliver engaging sales presentations
• Proficiency in a team-selling approach to maximize opportunities
• Thorough knowledge of competitors and the ability to employ successful sales strategies
• Advanced negotiation skills to craft beneficial solutions for customers, partners, and the organization.
• Extensive sales experience in a technology or services environment, especially in IT Managed Services.
• Strong skills in building and nurturing meaningful customer relationships up to the senior leadership level.
• Ability to define and execute sales strategies with a client-centric approach.
• Flexibility to adapt to new missions or urgent deadlines quickly.
• Bachelor's degree in information technology/systems, sales, or a related field.
• Industry/Vendor sales certifications required.
   

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• The Senior Data Engineer is responsible for designing, building, and maintaining scalable data pipelines.

Key Responsibilities:

• Design and implement robust, scalable, and secure data pipelines (ETL/ELT).
• Build and maintain data warehouses, data lakes, and real-time streaming systems.
• Develop and optimize workflows for large-scale data processing.
• Manage and maintain data environments, including performance tuning and cost optimization.
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs.
• Ensure data quality, integrity, and compliance with data governance and privacy regulations (e.g., POPIA, GDPR).
• Mentor junior engineers and contribute to best practices and code reviews.
• Automate data validation, monitoring, and alerting processes.
• Integrate data from various sources including APIs, databases, and third-party platforms.
• Directs test scenarios and is responsible for participating in thorough testing and validation to support the accuracy of data transformations.
• Works across multiple IT and business teams to define and implement data table structures and data models based on requirements.
• Works with various stakeholders to evaluate potential data requirements.
• Networks with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.

Knowledge and Attributes:

• Advanced knowledge of the definition and management of scoping requirements, definition and prioritization activities.
• Advanced understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.
• Advanced expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP. Snowflake and Databricks
• Advanced understanding of data architecture landscape between physical and logical data models
• Analytical mindset with excellent business acumen skills.
• Problem-solving aptitude with the ability to communicate effectively, both written and verbal.
• Ability to think strategically and build effective relationships at all levels within the organization.

Academic Qualifications and Certifications:

• Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.
• Relevant certifications preferred such as SAP, Microsoft Azure, Snowflake and Databricks.
• Certified Data Engineer, Certified Professional certification preferred.

Required experience:

• Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
• Advanced demonstrated experience with architecture and design of secure, highly available and scalable systems.
• Advanced proficiency in automation, scripting and proven examples of successful implementation.

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• The Data Management Security Engineer is responsible for defining and enforcing data security strategies, policies, and controls across the organization’s data landscape. This role ensures that data assets are protected against unauthorized access, breaches, and misuse, while enabling secure and compliant data usage across analytics, operations, and digital platforms.

Key Responsibilities:

Security Architecture & Strategy

• Define and implement data security architecture aligned with enterprise security and data governance frameworks.
• Lead the design of secure data platforms, including data lakes, warehouses, and analytics environments.

Access Control & Role-Based Security

• Develop and manage role-based access control (RBAC) models across data systems.
• Ensure least-privilege access principles are enforced and regularly reviewed.

Data Classification & Protection

• Oversee data classification initiatives to identify and tag sensitive, confidential, and regulated data.
• Implement data masking, encryption, and tokenization strategies where appropriate.

Compliance & Risk Management

• Ensure compliance with data privacy and protection regulations (e.g., POPIA, GDPR, HIPAA).
• Conduct risk assessments and audits related to data access, usage, and storage.

Collaboration & Governance

• Work closely with data governance, engineering, and legal teams to align security with business and regulatory needs.
• Participate in data governance councils and security steering committees.

Monitoring & Incident Response

• Define and monitor data access logs and anomaly detection systems.
• Support incident response teams in investigating and remediating data-related security events.

Knowledge and Attributes:

• Excellent communication skills to effectively convey technical information to non-technical stakeholders.
• Excellent analytical thinking and problem-solving skills to prevent hacking on a network.
• Ability to identify and evaluate potential risks and to develop solutions.
• Ability to identify and mitigate network vulnerabilities and explain how to avoid them.
• Seasoned familiarity with security frameworks, standards, and regulations (for example, NIST, CIS, GDPR).
• Seasoned proficiency of understanding in network and system architecture, protocols, and security controls.
• Strong analytical skills to analyze security incidents and assess potential risks.
• Ability to work both independently and collaboratively in a fast-paced environment.

Academic Qualifications and Certifications:

• Bachelor's degree or equivalent in information security, cybersecurity, computer science, or related.
• Certified Information Systems Security Professional (CISSP) or Certified Information Privacy Professional (CIPP / CIPM) or Certified Data Management Professional (CDMP)
• Cloud security certifications (e.g., AWS Security Specialty, Azure Security Engineer Associate)