Talent Insight Designer & Technical Lead

Posted 9 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Information Technology • Business Intelligence • Consulting
The Role
Designs, builds, tests, and maintains HR analytics products, including dashboards, reports, embedded analytics, visualizations, and self-service reporting. Translates requirements and KPI logic into accurate talent insights across recruitment, learning, workforce planning, performance, succession, and retention. Partners with HR, data, and technology stakeholders, validates data quality, documents reporting logic, supports testing and adoption, trains users, and ensures privacy and access-control compliance.
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 Talent Insight Designer & Technical Lead is a mid-tier hands-on role responsible for designing, building, and enhancing operational data products within Tier 1 HR applications and the broader HR technology stack.

This role develops dashboards, reports, embedded analytics, insight artefacts, and operational reporting products that help Talent, People & Culture, managers, and business leaders make informed decisions.

The role requires strong knowledge of HR technology analytics capabilities, particularly SAP SuccessFactors Stories, SAP People Intelligence, Phenom People, Skillsoft, and other HR technology platforms.

Key Responsibilities
  • Design, build, test, and maintain operational data products within Tier 1 HR applications and related HR technologies.
  • Develop dashboards, reports, embedded analytics, visualisations, insight packs, and self-service reporting products.
  • Build insight solutions across talent acquisition, talent growth, learning, skills, workforce planning, internal mobility, performance, succession, and retention.
  • Translate approved requirements, KPI definitions, business rules, and user stories into accurate analytics outputs.
  • Use SAP SuccessFactors Stories, SAP People Intelligence, Phenom People, Skillsoft, SAP Analytics Cloud, and other HR technologies to deliver operational insights.
  • Partner with the Talent Analytics & Insights Business Partner, product owners, system owners, and business stakeholders to understand how insights will be used.
  • Work with IT Data COE, data engineering, and platform teams to understand datasets, data models, integrations, and technical constraints.
  • Support metric logic, semantic layer design, dashboard structure, reporting standards, filters, and access requirements.
  • Validate data outputs, reconcile metrics, identify data inconsistencies, and support resolution of data quality issues.
  • Create visualisations and dashboards that tell a clear story and make complex talent data easier to interpret.
  • Apply data visualisation, user experience, and storytelling principles to improve usability and adoption.
  • Develop prototypes, mock-ups, and proof-of-concept dashboards to test new insight ideas.
  • Document report logic, data sources, metric definitions, assumptions, filters, access rules, and known limitations.
  • Support user acceptance testing, dashboard demonstrations, release readiness, and business sign-off.
  • Educate business users on how to use dashboards, interpret insights, and apply new analytics methods.
  • Monitor usage, feedback, and performance of analytics products to identify improvements.
  • Ensure analytics products comply with data privacy, access control, security, and responsible employee data use requirements.
Knowledge and Attributes
  • Strong understanding of dashboard design, embedded analytics, operational reporting, insight storytelling, and HR data products.
  • Strong knowledge of SAP SuccessFactors Stories, SAP People Intelligence, Phenom People, Skillsoft, and other HR technology reporting capabilities.
  • Working knowledge of SAP Analytics Cloud, SAP Business Data Cloud, Snowflake, and standard analytics / BI technologies.
  • Good understanding of Talent, People & Culture, HR processes, workforce data, and employee lifecycle metrics.
  • Good understanding of data modelling, KPI logic, metric definitions, filters, joins, hierarchies, and reporting structures.
  • Ability to turn business requirements into practical, accurate, and visually compelling analytics artefacts.
  • Ability to explain insights clearly to business users and non-technical stakeholders.
  • Strong attention to detail, especially for data accuracy, reconciliation, metric logic, access control, and visual design.
  • Strong analytical and problem-solving skills, with the ability to identify trends, patterns, anomalies, and data quality concerns.
  • Good understanding of self-service analytics and how to design products that enable business users to explore data safely.
  • Ability to work with business analysts, product owners, data engineers, architects, platform teams, and HR stakeholders.
  • Curiosity about new analytics methods, AI-enabled insight generation, predictive analytics, and data storytelling.
Academic Qualifications and Certifications
  • Bachelor’s degree or equivalent in Data Analytics, Business Analytics, Information Systems, Computer Science, Human Resources, Industrial Psychology, Statistics, Mathematics, Economics, or a related field.
  • Certifications or training in SAP SuccessFactors, SAP People Intelligence, SAP Analytics Cloud, Phenom People, Skillsoft, Snowflake, SQL, data visualisation, or Agile would be beneficial.
  • Training in people analytics, workforce analytics, HR technology, or responsible data use would be advantageous.
Required Experience
  • Relevant experience designing and developing HR dashboards, operational reports, embedded analytics, data products, or insight packs.
  • Experience building reporting or analytics products in Tier 1 HR applications.
  • Experience with SAP SuccessFactors Stories and exposure to SAP People Intelligence, Phenom People, Skillsoft, SAP Analytics Cloud, or similar HR technologies.
  • Experience translating requirements into reporting outputs, dashboards, metric logic, and data visualisations.
  • Experience working with HR, Talent, workforce, learning, recruitment, skills, or employee data.
  • Experience with SQL, data validation, metric reconciliation, report testing, and data quality checks would be beneficial.
  • Exposure to Snowflake, SAP Business Data Cloud, data warehouses, data lakes, or semantic layers would be advantageous.
  • Experience applying data visualisation and storytelling techniques to make insights easier for users to understand.
  • Experience supporting dashboard adoption, user training, analytics demonstrations, or self-service reporting enablement.
  • Experience working in a global or matrixed organisation would be beneficial.

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 70 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

  • Bachelor's degree or equivalent in Data Analytics, Business Analytics, Information Systems, Computer Science, Human Resources, Industrial Psychology, Statistics, Mathematics, Economics, or a related field
  • Experience designing and developing HR dashboards, operational reports, embedded analytics, data products, or insight packs
  • Experience building reporting or analytics products in Tier 1 HR applications
  • Experience with SAP SuccessFactors Stories
  • Experience translating requirements into reporting outputs, dashboards, metric logic, and data visualizations
  • Experience working with HR, talent, workforce, learning, recruitment, skills, or employee data
  • Exposure to SAP People Intelligence, Phenom People, Skillsoft, SAP Analytics Cloud, or similar HR technologies
  • Experience with SQL, data validation, metric reconciliation, report testing, and data quality checks
  • Exposure to Snowflake, SAP Business Data Cloud, data warehouses, data lakes, or semantic layers
  • Experience applying data visualization and storytelling techniques
  • Experience supporting dashboard adoption, user training, analytics demonstrations, or self-service reporting enablement
  • Experience working in a global or matrixed organization
  • Certifications or training in SAP SuccessFactors, SAP People Intelligence, SAP Analytics Cloud, Phenom People, Skillsoft, Snowflake, SQL, data visualization, or Agile
  • Training in people analytics, workforce analytics, HR technology, or responsible data use

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
HQ: Tokyo
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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