Intern - People Analytics

Posted 10 Hours Ago
Be an Early Applicant
Hiring Remotely in Illinois, USA
Remote
28K-30K Annually
Internship
Information Technology • Business Intelligence • Consulting
The Role
The Intern - People Analytics will support data-driven solutions using statistical models and machine learning, focusing on data analysis and visualization.
Summary Generated by Built In

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 Intern - People Analytics, is tasked with supporting the adoption of data science and analytics within the organization.
The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.
Key responsibilities:
  • Proactively supports the design, development, and programing methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
  • Receives instructions to research, design, implement and deploy scalable data analytics vision and machine learning solutions to challenge business issues.
  • Contributes to the design and enhancement of data collection procedures to include information that is relevant for building analytic systems.
  • Ensures that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers.
  • Contributes to the designing and coding of software programs, algorithms, and automated processes to cleanse, integrates and evaluates large datasets from multiple disparate sources.
  • Takes direction from management/leadership to provide meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
  • Supports the design of scalable and highly available applications leveraging the latest tools and technologies.
  • Participates in creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.
  • Receives instructions to create SQL queries for the analysis of data and visualize the output of the models.
  • Contributes to ensuring that industry standards best practices are applied to development activities.
To thrive in this role, you need to have:
  • Developing in data modelling, statistical methods and machine learning techniques.
  • 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.
  • Curiosity to sift through data to find answers and more insights.
  • Developing understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
  • Ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
  • Developing 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.
  • Developing ability to apply data science principles through a business lens.
Academic qualifications and certifications:
  • Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
  • Relevant programming certification preferred.
  • Agile certification preferred.
Required experience:
  • Moderate level experience in a data science position in a corporate environment and/or related industry.
  • Moderate level experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.
  • Familiarity with programming languages (R, Python, etc.).
  • Moderate level experience working with and creating data architectures.
  • Moderate level experience with extracting, cleaning, and transforming data and working with data owners to understand the data.
  • Familiarity with visualizing and/or presenting data for stakeholder use and reuse across the business.

Hours: this role will require flexible working hours as it will be supporting global teams.

The NTT DATA Way: Culture and Values

At NTT DATA, we believe that innovation should positively impact society while accelerating client success. This role requires a leader who embodies our core values:

  • Think Big. Be Bold: We push the boundaries of what’s possible with Agentic AI and digital transformation.

  • Respect Every Voice: We thrive on diverse viewpoints and collaborative innovation across our global footprint.

  • Deliver the Outcome: We are accountable for results, maintaining a 90% customer satisfaction rate through integrity and excellence.

  • Unpretentious & Together: We value humble, hardworking professionals who focus on collective success rather than self-promotion.

Why NTT DATA in 2026? We are not just participating in the AI era; we are driving it. With over $3 billion invested annually in R&D and a focus on "Human-Orchestrated Autonomy," we provide an environment where leaders can build the future of infrastructure and security.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The range for this position is $22-28 per hour USD. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.  Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

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.

Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Skills Required

  • Developing in data modelling, statistical methods and machine learning techniques
  • Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field
  • Moderate level experience in statistical modelling and data modelling, machine learning, data mining
  • Familiarity with programming languages (R, Python, etc.)

NTT DATA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NTT DATA and has not been reviewed or approved by NTT DATA.

  • Fair & Transparent Compensation Feedback suggests salary bands and grades are clearly defined, making ranges and promotion criteria easier to understand. Standardized HR processes provide visibility into levels across common delivery roles.
  • Healthcare Strength Feedback suggests the package includes comprehensive medical, dental, and vision options with HSA/FSA eligibility. Global materials emphasize comprehensive insurance and wellbeing as baseline offerings across regions.
  • Wellbeing & Lifestyle Benefits Flexible work options, including remote/hybrid arrangements, are highlighted as core benefits and can support work–life balance. Some delivery teams report more manageable hours than strategy consultancies, improving perceived value for time.

NTT DATA Insights

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The Company
Brisbane
55,092 Employees
Year Founded: 1988

What We Do

NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments 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

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