Talent Insight Designer & Technical Lead

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.