Talent Insight Design Lead - Data Analytics & Dashboards

Anonymous

South Africa

On-site

ZAR 900,000 - 1,500,000

Full time

8 days ago

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Job summary

NTT America, Inc. in Johannesburg seeks an experienced Talent Insight Designer & Technical Lead to design, build, and enhance data products within Tier 1 HR applications and the broader HR technology stack.

You will develop dashboards, reports, and embedded analytics to empower Talent, People & Culture leaders to make informed decisions. The role combines hands‑on data product development with leadership across HR analytics initiatives, leveraging SAP SuccessFactors Stories, SAP People

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.