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Talent Analytics & Insights Business Partner

Job in Johannesburg, 2000, South Africa
Listing for: NTT Limited
Full Time position
Listed on 2026-09-23
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, IT Business Analyst
Job Description & How to Apply Below

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 Analytics & Insights Business Partner is responsible for managing business engagement, analytics demand, operational reporting, and data quality across the Talent Analytics and Insights portfolio. This role acts as the link between People & Culture stakeholders, Talent teams, product owners, and the IT Data COE. It ensures business needs are translated into clear data requirements, reporting priorities, trusted metrics, and actionable talent insights.

Key Responsibilities
  • Manage business engagement for Talent Analytics and Insights across P&C / HR stakeholder groups.
  • Act as the primary link between business stakeholders and the IT Data COE for talent analytics, operational reporting, data requirements, and data quality.
  • Gather, analyse, document, and prioritise business requirements for reporting, dashboards, analytics products, and insights use cases.
  • Translate business questions into data requirements, reporting logic, KPI definitions, user stories, and acceptance criteria.
  • Manage the talent analytics demand portfolio, prioritising requests by business value, urgency, feasibility, data readiness, and strategic alignment.
  • Oversee operational reporting requirements, including recurring reports, leadership packs, workforce insights, and management information.
  • Support the definition and governance of Talent metrics, reporting standards, business rules, data definitions, and insight interpretation.
  • Manage data quality requirements, including identifying data gaps, tracking issues, coordinating remediation, and validating improvements.
  • Partner with IT Data COE, data engineers, reporting developers, product owners, and system owners to ensure datasets and reporting outputs meet business needs.
  • Support the use of Snowflake, SAP Business Data Cloud, SAP Analytics Cloud, SAP People Intelligence, and other analytics technologies from a business requirements perspective.
  • Coordinate user acceptance testing, report validation, data reconciliation, and business sign-off for analytics deliverables.
  • Identify opportunities to improve reporting processes, reduce manual effort, standardise metrics, and increase self-service analytics adoption.
  • Educate stakeholders on new analytics methods, data models, dashboards, trends, and insight capabilities.
  • Monitor adoption, user feedback, data quality trends, and business satisfaction to improve Talent Analytics and Insights services.
  • Ensure analytics outputs align with privacy, data security, access control, and responsible employee data use requirements.
Knowledge and Attributes
  • Strong understanding of Talent, People & Culture, HR processes, operational reporting, and workforce analytics.
  • Good understanding of business analysis practices, including requirements gathering, process mapping, user stories, acceptance criteria, and stakeholder engagement.
  • Good understanding of data quality, data governance, KPI definitions, reporting controls, and data issue management.
  • Working knowledge of analytics and data platforms such as Snowflake, SAP Business Data Cloud, SAP Analytics Cloud, SAP People Intelligence, and standard BI / reporting tools.
  • Ability to translate business needs into clear data, reporting, and analytics requirements.
  • Ability to create a bridge between business stakeholders and technical data teams.
  • Strong analytical thinking and ability to interpret data through a business lens.
  • Strong communication and storytelling…
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